From 31266b6b97b3d28fc91c59323029b5f5678acca8 Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Sat, 15 Aug 2026 09:00:33 -0400
Subject: [PATCH 1/9] INIT WIP: Tearing Feature add for calculating b_crit

---
 ...r-field penetration in tokamak plasmas.pdf | Bin 0 -> 917910 bytes
 .../DIIID-like_SLAYER_example/slayer_ex.ipynb |  72 +++
 src/GeneralizedPerturbedEquilibrium.jl        |   1 +
 .../CriticalResonantField.jl                  |  21 +
 .../CriticalResonantField/TorqueBalance.jl    | 122 +++++
 .../CriticalResonantField/bcrit_dev.ipynb     | 285 +++++++++++
 .../CriticalResonantField/bcrit_dev_ggj.ipynb | 208 ++++++++
 src/Tearing/CriticalResonantField/gslayer.txt | 466 ++++++++++++++++++
 src/Tearing/Tearing.jl                        |   4 +-
 9 files changed, 1178 insertions(+), 1 deletion(-)
 create mode 100644 docs/resources/2006-Cole-Drift-magnetohydrodynamical model of error-field penetration in tokamak plasmas.pdf
 create mode 100644 examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
 create mode 100644 src/Tearing/CriticalResonantField/CriticalResonantField.jl
 create mode 100644 src/Tearing/CriticalResonantField/TorqueBalance.jl
 create mode 100644 src/Tearing/CriticalResonantField/bcrit_dev.ipynb
 create mode 100644 src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
 create mode 100644 src/Tearing/CriticalResonantField/gslayer.txt

diff --git a/docs/resources/2006-Cole-Drift-magnetohydrodynamical model of error-field penetration in tokamak plasmas.pdf b/docs/resources/2006-Cole-Drift-magnetohydrodynamical model of error-field penetration in tokamak plasmas.pdf
new file mode 100644
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diff --git a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
new file mode 100644
index 000000000..0fb8f9079
--- /dev/null
+++ b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
@@ -0,0 +1,72 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Base.active_project()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using Plots\n",
+    "using GeneralizedPerturbedEquilibrium: Analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "h5path = \"/Users/bursche/Documents/GitHub/JPEC_BCRIT/examples/DIIID-like_SLAYER_example/gpec.h5\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p_eq = Analysis.Equilibrium.plot_equilibrium_summary(h5path)\n",
+    "p_ffs = Analysis.ForceFreeStates.plot_ffs_summary(h5path)\n",
+    "#p_pe = Analysis.PerturbedEquilibrium.plot_perturbed_equilibrium_summary(h5path)\n",
+    "\n",
+    "display(p_eq)\n",
+    "display(p_ffs)\n",
+    "#display(p_pe)"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/GeneralizedPerturbedEquilibrium.jl b/src/GeneralizedPerturbedEquilibrium.jl
index 96f9f4b1a..5d388d8bf 100755
--- a/src/GeneralizedPerturbedEquilibrium.jl
+++ b/src/GeneralizedPerturbedEquilibrium.jl
@@ -47,6 +47,7 @@ export Tearing
 # Backward-compat top-level aliases so callers can still reach these
 # directly; the canonical nested path is `Tearing.{Dispersion,Runner}`.
 import .Tearing.Dispersion as Dispersion
+import .Tearing.CriticalResonantField as CriticalResonantField
 import .Tearing.Runner as Runner
 export Dispersion, Runner
 
diff --git a/src/Tearing/CriticalResonantField/CriticalResonantField.jl b/src/Tearing/CriticalResonantField/CriticalResonantField.jl
new file mode 100644
index 000000000..453f04b73
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/CriticalResonantField.jl
@@ -0,0 +1,21 @@
+# CriticalResonantField.jl
+#
+# Uses the inner-layer delta from InnerLayer.jl to find the critical resonant field
+# required for mode penetration at each rational surface. This can then be compared
+# to the actual resonant field from the perturbed equilibrium to determine which modes
+# are predicted to penetrate.
+
+module CriticalResonantField
+
+using LinearAlgebra
+using StaticArrays
+
+using ..InnerLayer
+using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,
+    SLAYERModel, SLAYERParameters
+
+#include("TorqueBalance.jl")
+
+#export TorqueBalance, torque_balance
+
+end # module CriticalResonantField
diff --git a/src/Tearing/CriticalResonantField/TorqueBalance.jl b/src/Tearing/CriticalResonantField/TorqueBalance.jl
new file mode 100644
index 000000000..c85bff102
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/TorqueBalance.jl
@@ -0,0 +1,122 @@
+# TorqueBalance.jl
+#
+# `TorqueBalance` solves the torque balance eqution for each rational surface.
+# It follows the derivation found in Cole PopP 2006. For simplicity, the script
+# uses equation 62 of Cole. This can be improved by incorporating the true
+# outer-layer Δ' from the perturbed equilibrium and then solving equation 61.
+#
+# The viscous torque is:
+#
+#   T_v = 2 · P (Q_0 - Q) / ((S kappa^hat) · (b_r(r_s)/B_phi))^2
+#
+# The electromagnetic torque is:
+#
+#   T_em = Im[Δ_inner(Q)] / |alpha + Δ_inner(Q)|^2
+#
+# Now solving for critical resonant field, we have:
+#
+#   (b_r(r_s)/B_phi))^2_crit = max(2 · P (Q_0 - Q) / ((S kappa^hat) · Im[-Δ_inner(Q)^-1])
+#
+# Normalizations, definitions, and other conventions are taken from the Cole paper.
+# The critical resonant field is found at each rational surface. For each, the script
+# scans over a range of Q values and finds the maximum value of the right-hand side of
+# the equation above.
+
+"""
+    TorqueBalance{M<:InnerLayerModel, P}
+
+Per-surface dispersion data: `(model, params, dp_diag, dc, scale, tauk)`.
+Calling `sc(Q)` returns the complex residual
+
+```
+r(Q) = dp_diag - scale * solve_inner(model, params, Q).tearing - dc
+```
+
+A root of `sc` in the complex `Q` plane is a **tearing** eigenvalue at
+this surface in the *uncoupled* approximation (only the tearing channel
+of the inner-layer response appears — the interchange channel enters the
+full 2m×2m dispersion via `MultiSurfaceCoupling`, not this scalar form).
+Coupled multi-surface eigenvalues come from `MultiSurfaceCoupling`
+evaluating the determinant of the modified Δ' matrix.
+"""
+struct SurfaceCoupling{M<:InnerLayerModel,P}
+    model::M
+    params::P
+    dp_diag::ComplexF64
+    dc::Float64
+    scale::Float64
+    tauk::Float64
+end
+
+function (sc::SurfaceCoupling)(Q::Number)
+    Δ = solve_inner(sc.model, sc.params, ComplexF64(Q)).tearing
+    return sc.dp_diag - sc.scale * Δ - sc.dc
+end
+
+"""
+    surface_coupling(model::SLAYERModel, params::SLAYERParameters,
+                     dp_diag::Number; dc::Real=0.0) -> SurfaceCoupling
+
+SLAYER convenience constructor. `scale` is set to `params.lu^(1/3)` so that
+the dimensionless Δ from `riccati_f` is mapped to outer ψ-units before
+subtraction from the Δ' diagonal. `tauk` is taken from `params.tauk` for use
+by `MultiSurfaceCoupling` Q rescaling.
+"""
+function surface_coupling(model::SLAYERModel, params::SLAYERParameters,
+    dp_diag::Number; dc::Real=0.0)
+    return SurfaceCoupling(model, params, ComplexF64(dp_diag),
+        Float64(dc), params.lu^(1 / 3), params.tauk)
+end
+
+"""
+    surface_coupling(model::GGJModel, params::GGJParameters,
+                     dp_diag::Number) -> SurfaceCoupling
+
+GGJ convenience constructor. `scale` is `1.0` because GGJ's `solve_inner`
+applies its own `rescale_delta` (S^(2p₁/3)·v1^(2p₁)) internally, so the
+returned Δ is already in outer units. `tauk` defaults to `1.0` (GGJ has no
+direct analogue of SLAYER's per-surface time normalization, so multi-surface
+Q rescaling is a no-op for GGJ surfaces unless overridden).
+
+**No `dc` kwarg**: GGJ's 4m×4m Pletzer-Dewar residual already includes the
+interchange channel, which provides Glasser (Mercier) stabilization
+natively. A Δ_crit proxy (χ_parallel-matching offset on the diagonal) is
+meaningful only for tearing-only slab-layer approximations like SLAYER;
+for GGJ it would double-count the interchange physics. The `SurfaceCoupling`
+struct's `dc` field is hard-wired to 0 here.
+"""
+function surface_coupling(model::GGJModel, params::GGJParameters,
+    dp_diag::Number)
+    return SurfaceCoupling(model, params, ComplexF64(dp_diag),
+        0.0, 1.0, 1.0)
+end
+
+"""
+    surface_coupling(model::InnerLayerModel, params, dp_diag::Number;
+                     dc::Real=0.0, scale::Real=1.0, tauk::Real=1.0)
+        -> SurfaceCoupling
+
+Generic fallback constructor. Use this when wiring a new inner-layer model
+into the dispersion solver — pass the appropriate inner→outer-units `scale`
+and per-surface `tauk` explicitly.
+"""
+function surface_coupling(model::InnerLayerModel, params, dp_diag::Number;
+    dc::Real=0.0, scale::Real=1.0, tauk::Real=1.0)
+    return SurfaceCoupling(model, params, ComplexF64(dp_diag),
+        Float64(dc), Float64(scale), Float64(tauk))
+end
+
+function torque_balance_value(tb::TorqueBalance, Q::Number)
+    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing
+    jxb = -imag(1.0 / (Δ + tb.delta_n_p))
+    return 2.0 * tb.P * (tb.Q0 - Q) / jxb
+end
+
+function scan_torque_balance(tb; Qmin=-10.0, Qmax=10.0, nscan=200)
+    qs = range(Qmin, Qmax; length=nscan)
+    vals = torque_balance_value.(Ref(tb), qs)
+    idx = argmax(vals)
+    return qs[idx], vals[idx]
+end
+
+br_th = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))
diff --git a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
new file mode 100644
index 000000000..a6186408f
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
@@ -0,0 +1,285 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
+    "Base.active_project()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using GeneralizedPerturbedEquilibrium: Analysis\n",
+    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
+    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
+    "using GeneralizedPerturbedEquilibrium: Tearing\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Plots\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    margin=12Plots.mm,\n",
+    "    size=(800, 500),\n",
+    "    dpi=150\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "struct TorqueBalance\n",
+    "    model\n",
+    "    params\n",
+    "    Q0::Float64\n",
+    "    P::Float64\n",
+    "    delta_n_p::Float64\n",
+    "    lu::Float64\n",
+    "    sval::Float64\n",
+    "end\n",
+    "\n",
+    "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
+    "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
+    "    jxb = -imag(1.0 / (Δ + tb.delta_n_p))\n",
+    "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ\n",
+    "end\n",
+    "\n",
+    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)\n",
+    "    Qs = range(Qmin, Qmax; length=n)\n",
+    "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
+    "    bal = [x[1] for x in torque_out]\n",
+    "    Δs = [x[2] for x in torque_out]\n",
+    "    #bal = [torque_balance_value(tb, q) for q in Qs]\n",
+    "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
+    "\n",
+    "    if !any(positive)\n",
+    "        return Qs, bal, NaN, 0.0\n",
+    "    end\n",
+    "    i = argmax(bal)\n",
+    "    Qpeak_ind = i\n",
+    "    Qs_positive = Qs[positive]\n",
+    "    bal_positive = bal[positive]\n",
+    "\n",
+    "    i = argmax(bal_positive)\n",
+    "    Qpeak = Qs_positive[i]\n",
+    "    \n",
+    "    maxbal = bal_positive[i]\n",
+    "\n",
+    "    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
+    "    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# You can substitute any valid SLAYERParameters you already have.\n",
+    "# This is just an example skeleton.\n",
+    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
+    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
+    "    omega=0.0, omega_e=4, omega_i=-2,\n",
+    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
+    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
+    ")\n",
+    "p2 = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
+    "    ising=p.ising,\n",
+    "    m=p.m, n=p.n,\n",
+    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
+    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
+    "    Q_e=4 / p.tauk, Q_i=-10 / p.tauk, iota_e=p.iota_e,\n",
+    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
+    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
+    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
+    "    eta=p.eta, d_beta=p.d_beta,\n",
+    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
+    ")\n",
+    "\n",
+    "#p = p2\n",
+    "\n",
+    "tb = TorqueBalance(\n",
+    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
+    "    p,\n",
+    "    0.5,\n",
+    "    1.0,\n",
+    "    1e-2,\n",
+    "    p.lu,\n",
+    "    p.sval_r\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\"\"\"\n",
+    "\n",
+    "tau_h=R0*(mu0*rho)**0.5/(nns*sval*bt) ! alfven time across surface\n",
+    "lu=tau_r/tau_h                   ! Lundquist number\n",
+    "Qconv=lu**(1.0/3.0)*tau_h        ! conversion to Qs based on Cole\n",
+    "\n",
+    "! note Q depends on Qconv even if omega is fixed.\n",
+    "Q=Qconv*omega\n",
+    "Q_e=-Qconv*omega_e\n",
+    "Q_i=-Qconv*omega_i\n",
+    "\n",
+    "\"\"\"\n",
+    "2=-lu**(1.0/3.0)*tau_h *OE\n",
+    "2 = tauk *OE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Qs = range(-5.0, 5.0, length=200)\n",
+    "\n",
+    "vals = [torque_balance_value(tb, q) for q in Qs]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\"\"\"\n",
+    "n=2000:\n",
+    "Qpeak = 0.24512256128064033\n",
+    "maxbal = 0.35873684252530247\n",
+    "br_crit = 4.668551985584323e-5\n",
+    "\n",
+    "n=200 (def):\n",
+    "Qpeak = 0.25125628140703515\n",
+    "maxbal = 0.3585219071071706\n",
+    "br_crit = 4.667153206033017e-5\n",
+    "\"\"\"\n",
+    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb)\n",
+    "\n",
+    "println(\"Qpeak = \", Qpeak)\n",
+    "println(\"maxbal = \", maximum(bal_positive))\n",
+    "println(\"maxbal = \", maximum(bal))\n",
+    "println(\"br_crit = \", brcrit)\n",
+    "\n",
+    "p1 = plot(Qs, bal, lw=2, label=\"balance\")\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "p2 = plot(Qs_positive, bal_positive, lw=2, label=\"balance (positive)\")\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "plot(p1, p2, layout=(2,1), size=(800, 1000))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Qpk = Qs_positive[argmax(bal_positive)]\n",
+    "j   = findfirst(isequal(Qpk), Qs)\n",
+    "\n",
+    "lhs = 2*tb.P*(tb.Q0 - Qpk) / jxbs[j]\n",
+    "br_ratio = sqrt(lhs / (tb.lu * tb.sval^2 / 2))\n",
+    "\n",
+    "rhs = (tb.lu * tb.sval^2 / 2) * br_ratio^2\n",
+    "\n",
+    "println(\"lhs = \", lhs)\n",
+    "println(\"rhs = \", rhs)\n",
+    "println(\"lhs/rhs = \", lhs / rhs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing for q in Qs]\n",
+    "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
+    "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for (q, jxb) in zip(Qs, jxbs)]\n",
+    "br_t = brcrit\n",
+    "println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", tb.delta_n_p)\n",
+    "T_EM = tb.lu * tb.sval^2/2 * (br_t / p.bt)^2 * jxbs\n",
+    "i = Qpeak_ind\n",
+    "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
+    "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
+    "println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
+    "\n",
+    "#T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
+    "#T_visc ∝ 2 P (Q0 − Q)\n",
+    "\n",
+    "p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "#plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\n",
+    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "plot!(p2, Qs, T_VISC, label=\"2P(Q0-Q)\", lw=2)\n",
+    "plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"jxb\")\n",
+    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
+    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "xlabel!(p3, \"Q\")\n",
+    "ylabel!(p3, \"balance\")\n",
+    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "\n",
+    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb b/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
new file mode 100644
index 000000000..94f04beac
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
@@ -0,0 +1,208 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
+    "Base.active_project()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using GeneralizedPerturbedEquilibrium: GGJParameters\n",
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
+    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
+    "import GeneralizedPerturbedEquilibrium.InnerLayer.GGJ: sfac\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Plots\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    margin=12Plots.mm,\n",
+    "    size=(800, 500),\n",
+    "    dpi=150\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "struct TorqueBalance\n",
+    "    model\n",
+    "    params\n",
+    "    Q0::Float64\n",
+    "    P::Float64\n",
+    "    delta_n_p::Float64\n",
+    "    lu::Float64\n",
+    "    sval::Float64\n",
+    "end\n",
+    "\n",
+    "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
+    "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
+    "    jxb = -imag(1.0 / (Δ + tb.delta_n_p))\n",
+    "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# You can substitute any valid SLAYERParameters you already have.\n",
+    "# This is just an example skeleton.\n",
+    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
+    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
+    "    omega=0.0, omega_e=4, omega_i=-2,\n",
+    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
+    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
+    ")\n",
+    "\n",
+    "tb = TorqueBalance(\n",
+    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
+    "    p,\n",
+    "    0.5,\n",
+    "    1.0,\n",
+    "    1e-2,\n",
+    "    p.lu,\n",
+    "    p.sval_r\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p_ggj = GeneralizedPerturbedEquilibrium.InnerLayer.glasser_wang_2020_eq55()\n",
+    "lu_ggj = sfac(p_ggj)\n",
+    "sval_ggj = 0.5\n",
+    "\n",
+    "tb = TorqueBalance(\n",
+    "    GeneralizedPerturbedEquilibrium.InnerLayer.GGJModel(; solver=:ray),\n",
+    "    p_ggj,\n",
+    "    0.5,\n",
+    "    1.0,\n",
+    "    1e-2,\n",
+    "    lu_ggj,\n",
+    "    sval_ggj\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\"\"\"\n",
+    "\n",
+    "tau_h=R0*(mu0*rho)**0.5/(nns*sval*bt) ! alfven time across surface\n",
+    "lu=tau_r/tau_h                   ! Lundquist number\n",
+    "Qconv=lu**(1.0/3.0)*tau_h        ! conversion to Qs based on Cole\n",
+    "\n",
+    "! note Q depends on Qconv even if omega is fixed.\n",
+    "Q=Qconv*omega\n",
+    "Q_e=-Qconv*omega_e\n",
+    "Q_i=-Qconv*omega_i\n",
+    "\n",
+    "\"\"\"\n",
+    "2=-lu**(1.0/3.0)*tau_h *OE\n",
+    "OE = -2 "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Qs = range(-5.0, 5.0, length=200)\n",
+    "\n",
+    "vals = [torque_balance_value(tb, q) for q in Qs]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plot(Qs, real.(vals), label=\"Re(balance)\", lw=2)\n",
+    "plot!(Qs, imag.(vals), label=\"Im(balance)\", lw=2)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"torque balance\")\n",
+    "title!(\"tb(Q)\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing for q in Qs]\n",
+    "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
+    "\n",
+    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\n",
+    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"jxb\")\n",
+    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(vals), label=\"Re(balance)\", lw=2)\n",
+    "plot!(p3, Qs, imag.(vals), label=\"Im(balance)\", lw=2)\n",
+    "xlabel!(p3, \"Q\")\n",
+    "ylabel!(p3, \"balance\")\n",
+    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "\n",
+    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/Tearing/CriticalResonantField/gslayer.txt b/src/Tearing/CriticalResonantField/gslayer.txt
new file mode 100644
index 000000000..91cc2f862
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/gslayer.txt
@@ -0,0 +1,466 @@
+      MODULE gslayer_mod
+
+      USE sglobal_mod, ONLY: out_unit, r8, mu0, m_p, chag, lnLamb,
+     $   Q_e,Q_i,pr,pe,c_beta,ds,tau,
+     $   eta,visc,rho_s,lu,omega_e,omega_i,
+     $   delta_n,layfac,
+     $   Q
+      USE delta_mod, ONLY: riccati,riccati_out,
+     $   parflow_flag,PeOhmOnly_flag
+
+      IMPLICIT NONE
+
+c-----------------------------------------------------------------------
+c     torque balance scan resolution. public so that gpout_singfld can
+c     size the netcdf dimension from the same source of truth.
+c-----------------------------------------------------------------------
+      INTEGER, PARAMETER :: slayer_inum=200
+      INTEGER, PARAMETER :: slayer_nref=4
+c-----------------------------------------------------------------------
+c     dedicated logarithmic sampling window bracketing Q_e, the electron
+c     diamagnetic frequency. (Q-Q_e) sits in the denominator of both G
+c     and C3 in delta.f, so the layer solve is singular there; the
+c     coarse scan steps over that neighbourhood with dQ=0.1 and the
+c     adaptive refinement only visits it when the torque-balance peak
+c     happens to land on it. These samples always resolve it, so the
+c     structure can be inspected on every surface rather than only on
+c     the ones that fell into it.
+c
+c     PURELY DIAGNOSTIC: filled after br_th is computed, and tagged
+c     kpass=slayer_qetag so the threshold search cannot see them.
+c     Costs slayer_nqe extra lsode solves per surface (~40% on top of
+c     the 1005 the scan already does).
+c-----------------------------------------------------------------------
+      INTEGER, PARAMETER :: slayer_nqe=400
+      INTEGER, PARAMETER :: slayer_qetag=99
+      REAL(r8), PARAMETER :: slayer_qefar=1.0e-1_r8
+      REAL(r8), PARAMETER :: slayer_qenear=1.0e-9_r8
+      INTEGER, PARAMETER :: slayer_nq=(slayer_inum+1)*(slayer_nref+1)
+     $                               +slayer_nqe
+c-----------------------------------------------------------------------
+c     every term of Cole & Fitzpatrick Eq. (61) on one rational
+c     surface,
+c        Im[Delta]/|alpha+Delta|**2
+c              = 2*P*(Q0-Q)/(S*kappa_hat*(b_r/B_phi)**2)
+c     recorded so the balance can be rebuilt piece by piece and
+c     rescanned in post processing. every component is default
+c     initialized, so both ALLOCATE and INTENT(OUT) leave a well
+c     defined (zero) state even when the layer solve is skipped.
+c
+c     kpass tags the scan pass that produced each sample: 0 for the
+c     coarse scan, 1..slayer_nref for the adaptive refinement passes.
+c-----------------------------------------------------------------------
+      TYPE :: slayer_diag_type
+         REAL(r8), DIMENSION(slayer_nq) :: qs=0.0_r8
+         REAL(r8), DIMENSION(slayer_nq) :: lhs=0.0_r8
+         REAL(r8), DIMENSION(slayer_nq) :: rhs=0.0_r8
+         REAL(r8), DIMENSION(slayer_nq) :: bal=0.0_r8
+         REAL(r8), DIMENSION(slayer_nq) :: brb=0.0_r8
+         COMPLEX(r8), DIMENSION(slayer_nq) :: dlt=(0.0_r8,0.0_r8)
+         INTEGER, DIMENSION(slayer_nq) :: kpass=0
+         REAL(r8) :: alpha=0.0_r8, kaphat=0.0_r8, slun=0.0_r8
+         REAL(r8) :: prnd=0.0_r8, q0v=0.0_r8, qcnv=0.0_r8
+         REAL(r8) :: qev=0.0_r8, qiv=0.0_r8, dsv=0.0_r8
+         REAL(r8) :: cbeta=0.0_r8, tratio=0.0_r8, pev=0.0_r8
+         REAL(r8) :: lfac=0.0_r8, dnorm=0.0_r8, rhos=0.0_r8
+         REAL(r8) :: etav=0.0_r8, viscv=0.0_r8, tauh=0.0_r8
+         REAL(r8) :: taur=0.0_r8, tauv=0.0_r8, taui=0.0_r8
+         REAL(r8) :: shr=0.0_r8, bl=0.0_r8, va=0.0_r8
+         REAL(r8) :: rhom=0.0_r8, lbet=0.0_r8, omg=0.0_r8
+         REAL(r8) :: qsol=0.0_r8, wsol=0.0_r8, brth=0.0_r8
+         REAL(r8) :: mxbal=0.0_r8, qmn=0.0_r8, qmx=0.0_r8
+      END TYPE slayer_diag_type
+
+      CONTAINS
+
+c-----------------------------------------------------------------------
+c     subprogram 1. gpec_slayer.
+c     run slayer to provide b_crit(ising).
+c-----------------------------------------------------------------------
+c-----------------------------------------------------------------------
+c     declarations.
+c-----------------------------------------------------------------------
+      SUBROUTINE gpec_slayer(n_e,t_e,n_i,t_i,zeff,omega,omega_e,
+     $   omega_i,qval,sval,bt,rs,R0,mu_i,inpr,mms,nns,ascii_flag,
+     $     delta,psi0,jxb,omega_sol,br_th,diag,inlayfac,inlayfrac)
+
+      REAL(r8),INTENT(IN) :: n_e,t_e,n_i,t_i,omega,omega_e,omega_i,
+     $     qval,sval,bt,rs,R0,zeff,inpr
+      REAL(r8),INTENT(IN),OPTIONAL :: inlayfac,inlayfrac
+      REAL(r8) :: layfac_max,layfac_frac
+      INTEGER, INTENT(IN) :: mms,nns,mu_i
+      LOGICAL, INTENT(IN) :: ascii_flag
+      COMPLEX(r8),INTENT(OUT) :: delta,psi0
+      REAL(r8),INTENT(OUT) :: jxb,omega_sol,br_th
+      TYPE(slayer_diag_type), INTENT(OUT), OPTIONAL :: diag
+
+      INTEGER :: i,inum
+      INTEGER, DIMENSION(1) :: index
+
+      REAL(r8) :: inQ,inQ_e,inQ_i,inpe,inc_beta,inds,intau,inlu
+      REAL(r8) :: mrs,nrs,rho,b_l,v_a,Qconv,Q0,delta_n_p,
+     $            lbeta,tau_i,tau_h,tau_r,tau_v
+      REAL(r8) :: inQ_min,inQ_max,Q_sol,maxbal
+      INTEGER :: ipass
+      INTEGER, PARAMETER :: nref=slayer_nref
+      REAL(r8) :: xpk,rlo,rhi,rdq,rdqc,xq,bloc,jloc
+      COMPLEX(r8) :: dloc
+
+c     Eq. (61) term capture. cqs/cdlt/clhs/crhs/cbal/cbrb hold every
+c     sample of the coarse and refinement scans, cpass its pass tag,
+c     and iperm the permutation that sorts them by ascending Q.
+      INTEGER :: j,k,kk
+      INTEGER, DIMENSION(slayer_nq) :: iperm,cpass
+      REAL(r8), DIMENSION(slayer_nq) :: cqs,clhs,crhs,cbal,cbrb
+      COMPLEX(r8), DIMENSION(slayer_nq) :: cdlt
+      REAL(r8) :: kaphat,xtmp
+
+      REAL(r8), DIMENSION(:), ALLOCATABLE :: inQs,iinQs,jxbl,bal
+      COMPLEX(r8), DIMENSION(:), ALLOCATABLE :: deltal
+      CHARACTER(3) :: sn,sm
+
+      parflow_flag=.FALSE.
+      PeOhmOnly_flag=.TRUE.
+      riccati_out=.FALSE.
+
+      mrs = real(mms,4)
+      nrs = real(nns,4)
+
+      ! String representations of the m and n mode numbers
+      IF (nns<10) THEN
+         WRITE(UNIT=sn,FMT='(I1)') nns
+         sn=ADJUSTL(sn)
+      ELSE
+         WRITE(UNIT=sn,FMT='(I2)') nns
+      ENDIF
+      IF (mms<10) THEN
+         WRITE(UNIT=sm,FMT='(I1)') mms
+         sm=ADJUSTL(sm)
+      ELSEIF (mms<100) THEN
+         WRITE(UNIT=sm,FMT='(I2)') mms
+         sm=ADJUSTL(sm)
+      ELSE
+         WRITE(UNIT=sm,FMT='(I3)') mms
+      ENDIF
+
+      inpe=0.0                         ! Waybright added this
+
+      tau= t_i/t_e                     ! ratio of ion to electron temperature
+      tau_i = 6.6e17*mu_i**0.5*(t_i/1e3)**1.5/(n_e*lnLamb) ! ion colls.
+      eta= 1.65e-9*lnLamb/(t_e/1e3)**1.5 ! spitzer resistivity (wesson)
+      rho=(mu_i*m_p)*n_e               ! mass density
+
+      b_l=(nrs/mrs)*rs*sval*bt/R0      ! characteristic magnetic field
+      v_a=b_l/(mu0*rho)**0.5           ! alfven velocity
+      rho_s=1.02e-4*(mu_i*t_e)**0.5/bt ! ion Lamour by elec. Temp.
+
+      tau_h=R0*(mu0*rho)**0.5/(nns*sval*bt) ! alfven time across surface
+      tau_r=mu0*rs**2.0/eta            ! resistive time scale
+      tau_v=tau_r/inpr                   ! rho*rs**2.0/visc ! viscous time scale
+
+      ! this one must be anomalous. calculated back from pr.
+      visc= rho*rs**2.0/tau_v
+
+      lu=tau_r/tau_h                   ! Lundquist number
+
+      Qconv=lu**(1.0/3.0)*tau_h        ! conversion to Qs based on Cole
+
+      ! note Q depends on Qconv even if omega is fixed.
+      Q=Qconv*omega
+      Q_e=-Qconv*omega_e
+      Q_i=-Qconv*omega_i
+
+      ! This is the most critical parameter
+      ds=lu**(1.0/3.0)*rho_s/rs        ! conversion based on Cole.
+
+      lbeta=(5.0/3.0)*mu0*n_e*chag*(t_e+t_i)/bt**2.0
+      c_beta=(lbeta/(1.0+lbeta))**0.5
+
+      delta_n=lu**(1.0/3.0)/rs         ! norm factor for delta primes
+
+      inQ=Q
+      inQ_e=Q_e
+      inQ_i=Q_i
+      inc_beta=c_beta
+      inds=ds
+      intau=tau
+      Q0=Q
+c-----------------------------------------------------------------------
+c     set the layer regularization width.
+c
+c     riccati excises a disc of radius layfac around Q_e, where Im[Delta]
+c     has a zero and bal=2P(Q0-Q)/lhs therefore has a pole. Without it the
+c     coarse scan and its refinement walk into that pole and MAXVAL(bal)
+c     returns a threshold set by the scan spacing rather than by the
+c     saddle-node bifurcation. gpec_slayer never assigned layfac, so on
+c     this path the guard was dead.
+c
+c     A fixed width is not safe on every surface: the disc [Q_e-layfac,
+c     Q_e+layfac] can be a large fraction of the physical branch, and on
+c     high-m surfaces it can swallow the turning point or Q0 itself --
+c     quietly, since a number still comes back. So the width is scaled to
+c     the accessible branch |Q0-Q_e| and capped:
+c
+c        layfac_frac > 0 : layfac = MIN(layfac_max, layfac_frac*|Q0-Q_e|)
+c        layfac_frac <= 0: layfac = layfac_max          (fixed width)
+c        layfac_max  <= 0: layfac = 0                   (guard off)
+c
+c     Exposed through gpec.in so the choice is auditable per run; it is a
+c     physics judgement, not a constant.
+c-----------------------------------------------------------------------
+      layfac_max=0.02_r8
+      IF (PRESENT(inlayfac)) layfac_max=inlayfac
+      layfac_frac=0.25_r8
+      IF (PRESENT(inlayfrac)) layfac_frac=inlayfrac
+      IF (layfac_max>0.0_r8) THEN
+         IF (layfac_frac>0.0_r8) THEN
+            layfac=MIN(layfac_max,layfac_frac*ABS(Q0-inQ_e))
+         ELSE
+            layfac=layfac_max
+         ENDIF
+      ELSE
+         layfac=0.0_r8
+      ENDIF
+c-----------------------------------------------------------------------
+c     calculate basic delta, torque, balance, error fields.
+c-----------------------------------------------------------------------
+      delta_n_p=1e-2
+      ! kappa_hat of Eq. (61) is implicit in the br_th expression at the
+      ! end of this routine: sqrt(maxbal/lu*(sval**2/2)) is identically
+      ! sqrt(maxbal/(lu*kappa_hat)) for kappa_hat=2/sval**2. Named here
+      ! for output only; it is never used in a physics expression, so
+      ! the threshold is unchanged.
+      IF (sval/=0.0_r8) THEN
+         kaphat=2.0_r8/sval**2.0
+      ELSE
+         kaphat=0.0_r8
+      ENDIF
+      delta=riccati(inQ,inQ_e,inQ_i,inpr,inc_beta,inds,intau,inpe)
+      psi0=1.0/ABS(delta+delta_n_p)     ! a.u.
+      jxb=-AIMAG(1.0/(delta+delta_n_p)) ! a.u.
+c----------------------------------------------------------------------
+c     find solutions based on simple torque balance.
+c-----------------------------------------------------------------------
+      IF (Q0>inQ_e) THEN
+         inQ_max=2.0*Q0
+         inQ_min=1.05*inQ_e
+      ELSE
+         inQ_max=0.95*inQ_e
+         IF (Q0>0) THEN
+            inQ_min=0.8*inQ_i
+         ELSE
+            inQ_min=1.5*MINVAL((/Q0,inQ_i/))
+         ENDIF
+      ENDIF
+
+      ! Scan of rotation
+      inQ_max=10.0
+      inQ_min=-10.0
+      inum=slayer_inum
+      ALLOCATE(inQs(0:inum),deltal(0:inum),jxbl(0:inum),bal(0:inum))
+      DO i=0,inum
+         inQs(i)=inQ_min+(REAL(i)/inum)*(inQ_max-inQ_min)
+         deltal(i)=riccati(inQs(i),inQ_e,inQ_i,
+     $        inpr,inc_beta,inds,intau,inpe)
+         jxbl(i)=-AIMAG(1.0/(deltal(i)+delta_n_p))
+         bal(i)=2.0*inpr*(Q0-inQs(i))/jxbl(i)
+      ENDDO
+
+      ! Capture the coarse pass (tag 0). This only reads inQs/deltal/
+      ! jxbl/bal, so both the ascii dump and the refinement below are
+      ! bit for bit unchanged. The Eq. (61) right hand side numerator
+      ! is recomputed rather than harvested out of the bal expression
+      ! above; 2.0*inpr*(Q0-inQs(i)) is a pure product chain, so the
+      ! recomputed value is identical to the one formed inline.
+      DO i=0,inum
+         cqs(i+1)=inQs(i)
+         cdlt(i+1)=deltal(i)
+         clhs(i+1)=jxbl(i)
+         crhs(i+1)=2.0*inpr*(Q0-inQs(i))
+         cbal(i+1)=bal(i)
+         cpass(i+1)=0
+      ENDDO
+
+      ! Write torque balance curves to file for diagnostic purposes
+      IF(ascii_flag)THEN
+         OPEN(UNIT=out_unit,FILE="gpec_slayer_torque_balance_m"//
+     $        TRIM(sm)//"_n"//TRIM(sn)//".out",
+     $        STATUS="UNKNOWN")
+         WRITE(out_unit,'(1x,5(a17))') "inQ","RE(delta)",
+     $        "IM(delta)","jxb","bal"
+         DO i=0,inum
+            WRITE(out_unit,'(1x,5(es17.8e3))')
+     $           inQs(i),REAL(deltal(i)),AIMAG(deltal(i)),jxbl(i),bal(i)
+         ENDDO
+         CLOSE(out_unit)
+      ENDIF
+
+      ! The coarse scan above gives the overall torque-balance shape
+      ! and the diagnostic output. The locking "nose" (the maximum of
+      ! bal) can be a very narrow spike near inQ=Q0, however, and the
+      ! coarse grid can step right over it, leaving a spuriously
+      ! negative MAXVAL(bal) and hence a NaN br_th. Bracket the coarse
+      ! maximum and iteratively refine the scan around the running peak
+      ! so the nose is resolved regardless of how narrow it is. Exclude
+      ! non-finite entries (NaN from 0/0, Inf from a near-zero jxbl).
+      index=MAXLOC(bal,MASK=(bal==bal .AND. ABS(bal)<HUGE(bal)))
+      rdqc=(inQ_max-inQ_min)/inum
+      xpk=inQs(index(1))
+      rlo=xpk-2.0*rdqc
+      rhi=xpk+2.0*rdqc
+      maxbal=-HUGE(maxbal)
+      DO ipass=1,nref
+         rdq=(rhi-rlo)/inum
+         DO i=0,inum
+            xq=rlo+REAL(i)*rdq
+            dloc=riccati(xq,inQ_e,inQ_i,inpr,
+     $           inc_beta,inds,intau,inpe)
+            jloc=-AIMAG(1.0/(dloc+delta_n_p))
+            bloc=2.0*inpr*(Q0-xq)/jloc
+            ! capture this refinement sample (tag ipass)
+            k=ipass*(inum+1)+i+1
+            cqs(k)=xq
+            cdlt(k)=dloc
+            clhs(k)=jloc
+            crhs(k)=2.0*inpr*(Q0-xq)
+            cbal(k)=bloc
+            cpass(k)=ipass
+            IF (bloc==bloc .AND. ABS(bloc)<HUGE(bloc)
+     $           .AND. bloc>maxbal) THEN
+               maxbal=bloc
+               xpk=xq
+            ENDIF
+         ENDDO
+         rlo=xpk-2.0*rdq
+         rhi=xpk+2.0*rdq
+      ENDDO
+      Q_sol=xpk
+      omega_sol=xpk/Qconv
+      ! If even the refined nose is non-positive the surface has no
+      ! finite penetration threshold; floor at zero and warn rather
+      ! than propagating a NaN into b_crit/Phi_res_crit downstream.
+      IF (maxbal>0.0_r8) THEN
+         br_th=sqrt(maxbal/lu*(sval**2.0/2.0))
+      ELSE
+         br_th=0.0_r8
+         WRITE(*,'(1x,a,i0,a,i0,a)')
+     $      "!! WARNING: SLAYER torque balance has no positive "//
+     $      "maximum at m=",mms,", n=",nns,"; br_th set to 0"
+      ENDIF
+c-----------------------------------------------------------------------
+c     assemble the Eq. (61) record: b_r/B_phi implied by each balance
+c     point, then merge the coarse and refined samples onto one
+c     ascending Q grid so the narrow nose is densely resolved and the
+c     curve can be interpolated in post processing.
+c-----------------------------------------------------------------------
+      ! Dedicated logarithmic sweep through the Q_e singularity, half
+      ! the samples on each side, |Q-Q_e| running from slayer_qefar in
+      ! to slayer_qenear. br_th is already fixed above and these are
+      ! tagged slayer_qetag, so they are invisible to the peak search.
+      DO i=1,slayer_nqe/2
+         xq=slayer_qefar*(slayer_qenear/slayer_qefar)
+     $      **(REAL(i-1,r8)/REAL(slayer_nqe/2-1,r8))
+         DO j=0,1
+            k=(inum+1)*(nref+1)+(i-1)*2+j+1
+            IF (j==0) THEN
+               cqs(k)=inQ_e-xq
+            ELSE
+               cqs(k)=inQ_e+xq
+            ENDIF
+            cdlt(k)=riccati(cqs(k),inQ_e,inQ_i,inpr,
+     $           inc_beta,inds,intau,inpe)
+            clhs(k)=-AIMAG(1.0/(cdlt(k)+delta_n_p))
+            crhs(k)=2.0*inpr*(Q0-cqs(k))
+            cbal(k)=crhs(k)/clhs(k)
+            cpass(k)=slayer_qetag
+         ENDDO
+      ENDDO
+      ! deliberately the same expression form as br_th above, so the
+      ! peak sample reproduces br_th exactly rather than differing in
+      ! the last bit.
+      DO k=1,slayer_nq
+         IF (cbal(k)==cbal(k) .AND. cbal(k)>0.0_r8
+     $        .AND. ABS(cbal(k))<HUGE(cbal(k))) THEN
+            cbrb(k)=sqrt(cbal(k)/lu*(sval**2.0/2.0))
+         ELSE
+            cbrb(k)=0.0_r8
+         ENDIF
+      ENDDO
+      ! insertion sort of a permutation index, keyed on Q so the key can
+      ! never be NaN. cqs is five already ascending runs, so this is
+      ! cheap next to the slayer_nq lsode solves already done above.
+      ! Duplicates are kept: a refinement bracket can land exactly on a
+      ! coarse abscissa, and the pass tag distinguishes them.
+      DO k=1,slayer_nq
+         iperm(k)=k
+      ENDDO
+      DO k=2,slayer_nq
+         kk=iperm(k)
+         xtmp=cqs(kk)
+         j=k-1
+         DO WHILE (j>=1)
+            IF (cqs(iperm(j))<=xtmp) EXIT
+            iperm(j+1)=iperm(j)
+            j=j-1
+         ENDDO
+         iperm(j+1)=kk
+      ENDDO
+      IF (PRESENT(diag)) THEN
+         DO k=1,slayer_nq
+            kk=iperm(k)
+            diag%qs(k)=cqs(kk)
+            diag%dlt(k)=cdlt(kk)
+            diag%lhs(k)=clhs(kk)
+            diag%rhs(k)=crhs(kk)
+            diag%bal(k)=cbal(kk)
+            diag%brb(k)=cbrb(kk)
+            diag%kpass(k)=cpass(kk)
+         ENDDO
+         ! scalars are taken from the local copies, never from the
+         ! sglobal_mod globals Q/Q_e/Q_i/ds/tau/c_beta/pr/pe: riccati
+         ! overwrites those on every call, so by this point the module
+         ! Q holds the last refinement sample rather than Q0.
+         diag%alpha=delta_n_p
+         diag%kaphat=kaphat
+         diag%slun=lu
+         diag%prnd=inpr
+         diag%q0v=Q0
+         diag%qcnv=Qconv
+         diag%qev=inQ_e
+         diag%qiv=inQ_i
+         diag%dsv=inds
+         diag%cbeta=inc_beta
+         diag%tratio=intau
+         diag%pev=inpe
+         diag%lfac=layfac
+         diag%dnorm=delta_n
+         diag%rhos=rho_s
+         diag%etav=eta
+         diag%viscv=visc
+         diag%tauh=tau_h
+         diag%taur=tau_r
+         diag%tauv=tau_v
+         diag%taui=tau_i
+         diag%shr=sval
+         diag%bl=b_l
+         diag%va=v_a
+         diag%rhom=rho
+         diag%lbet=lbeta
+         diag%omg=omega
+         diag%qsol=Q_sol
+         diag%wsol=omega_sol
+         diag%brth=br_th
+         diag%qmn=inQ_min
+         diag%qmx=inQ_max
+         IF (maxbal>-HUGE(maxbal)) THEN
+            diag%mxbal=maxbal
+         ELSE
+            diag%mxbal=0.0_r8
+         ENDIF
+      ENDIF
+      DEALLOCATE(inQs,deltal,jxbl,bal)
+
+      RETURN
+      END SUBROUTINE gpec_slayer
+
+      END MODULE gslayer_mod
diff --git a/src/Tearing/Tearing.jl b/src/Tearing/Tearing.jl
index 745a30857..ae3ed8e3c 100644
--- a/src/Tearing/Tearing.jl
+++ b/src/Tearing/Tearing.jl
@@ -23,12 +23,14 @@ import ..InnerLayer as InnerLayer
 
 include("LayerInputs.jl")
 include("Dispersion/Dispersion.jl")
+include("CriticalResonantField/CriticalResonantField.jl")
 include("Runner/Runner.jl")
 
 import .Dispersion as Dispersion
+import .CriticalResonantField as CriticalResonantField
 import .Runner as Runner
 
-export InnerLayer, Dispersion, Runner
+export InnerLayer, Dispersion, CriticalResonantField, Runner
 export build_ggj_inputs
 
 end # module Tearing

From ba740feebe21bf366d5dc69e4c07831b3bc97f73 Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Sat, 15 Aug 2026 21:28:37 -0400
Subject: [PATCH 2/9] WIP - Testing

---
 .../CriticalResonantField/bcrit_dev.ipynb     | 231 +++++++++++++++++-
 .../CriticalResonantField/bcrit_dev_ggj.ipynb |  34 ++-
 2 files changed, 257 insertions(+), 8 deletions(-)

diff --git a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
index a6186408f..78490c308 100644
--- a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
+++ b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
@@ -97,6 +97,223 @@
    "id": "4",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)\n",
+    "    Qs = range(Qmin, Qmax; length=n)\n",
+    "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
+    "    bal = [x[1] for x in torque_out]\n",
+    "    Δs = [x[2] for x in torque_out]\n",
+    "\n",
+    "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
+    "\n",
+    "    if !any(positive)\n",
+    "        return Qs, bal, Float64[], Float64[], NaN, NaN, 0, Δs\n",
+    "    end\n",
+    "\n",
+    "    i = argmax(bal)\n",
+    "    Qpeak_ind = i\n",
+    "    Qs_positive = Qs[positive]\n",
+    "    bal_positive = bal[positive]\n",
+    "\n",
+    "    i = argmax(bal_positive)\n",
+    "    Qpeak = Qs_positive[i]\n",
+    "    maxbal = bal_positive[i]\n",
+    "\n",
+    "    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
+    "    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs\n",
+    "end\n",
+    "# one-cell scan: x = b_crit, y = Q_0\n",
+    "Q0_vals = range(-2.0, 2.0; length=60)\n",
+    "\n",
+    "bcrit_vals = Float64[]\n",
+    "locked_flag = Bool[]\n",
+    "\n",
+    "for Q0 in Q0_vals\n",
+    "    tbQ = TorqueBalance(\n",
+    "        tb.model,\n",
+    "        tb.params,\n",
+    "        Float64(Q0),\n",
+    "        tb.P,\n",
+    "        tb.delta_n_p,\n",
+    "        tb.lu,\n",
+    "        tb.sval\n",
+    "    )\n",
+    "\n",
+    "    Qs, bal, Qs_pos, bal_pos, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tbQ; Qmin=-10.0, Qmax=10.0, n=250)\n",
+    "\n",
+    "    if isempty(bal_pos) || !all(isfinite.(bal_pos)) || maximum(bal_pos) <= 0\n",
+    "        push!(bcrit_vals, NaN)\n",
+    "        push!(locked_flag, false)\n",
+    "    else\n",
+    "        push!(bcrit_vals, brcrit)\n",
+    "        push!(locked_flag, true)\n",
+    "    end\n",
+    "end\n",
+    "\n",
+    "# keep only finite x-values for plotting\n",
+    "x = bcrit_vals[isfinite.(bcrit_vals)]\n",
+    "y = Q0_vals[isfinite.(bcrit_vals)]\n",
+    "locked = locked_flag[isfinite.(bcrit_vals)]\n",
+    "\n",
+    "p = scatter(\n",
+    "    x[locked], y[locked],\n",
+    "    label=\"locked\",\n",
+    "    color=:green,\n",
+    "    markersize=5,\n",
+    "    marker=:circle,\n",
+    "    xlabel=\"b_crit\",\n",
+    "    ylabel=\"Q_0\",\n",
+    "    title=\"Locked / unlocked boundary\",\n",
+    "    legend=:topleft\n",
+    ")\n",
+    "\n",
+    "scatter!(\n",
+    "    p,\n",
+    "    x[.!locked], y[.!locked],\n",
+    "    label=\"unlocked\",\n",
+    "    color=:red,\n",
+    "    markersize=5,\n",
+    "    marker=:square\n",
+    ")\n",
+    "\n",
+    "display(p)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import Pkg; Pkg.add(\"DataInterpolations\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Plots\n",
+    "using DataInterpolations\n",
+    "\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    grid=false,\n",
+    "    linewidth=2,\n",
+    "    guidefontsize=26,\n",
+    "    tickfontsize=18,\n",
+    "    titlefontsize=30,\n",
+    "    legendfontsize=18,\n",
+    "    size=(1200, 800),\n",
+    "    dpi=150\n",
+    ")\n",
+    "\n",
+    "# Build the critical boundary bcrit(Q0)\n",
+    "Q0_scan = range(-1.0, 4.5; length=80)\n",
+    "bcrit_curve = Float64[]\n",
+    "\n",
+    "for Q0 in Q0_scan\n",
+    "    tbQ = TorqueBalance(\n",
+    "        tb.model,\n",
+    "        tb.params,\n",
+    "        Float64(Q0),\n",
+    "        tb.P,\n",
+    "        tb.delta_n_p,\n",
+    "        tb.lu,\n",
+    "        tb.sval\n",
+    "    )\n",
+    "\n",
+    "    Qs, bal, Qs_pos, bal_pos, Qpeak, brcrit, Qpeak_ind, Δs =\n",
+    "        torque_balance_scan(tbQ; Qmin=-10.0, Qmax=10.0, n=250)\n",
+    "\n",
+    "    if isempty(bal_pos) || !all(isfinite.(bal_pos)) || maximum(bal_pos) <= 0\n",
+    "        push!(bcrit_curve, NaN)\n",
+    "    else\n",
+    "        push!(bcrit_curve, brcrit)\n",
+    "    end\n",
+    "end\n",
+    "\n",
+    "ok = isfinite.(bcrit_curve)\n",
+    "Q0_plot = Q0_scan[ok]\n",
+    "bcrit_plot = bcrit_curve[ok]\n",
+    "\n",
+    "perm = sortperm(Q0_plot)\n",
+    "Q0_plot = Q0_plot[perm]\n",
+    "bcrit_plot = bcrit_plot[perm]\n",
+    "\n",
+    "# Interpolate the boundary: bcrit = f(Q0)\n",
+    "curve_itp = LinearInterpolation(bcrit_plot, Q0_plot)\n",
+    "\n",
+    "# Full phase-box bounds\n",
+    "x0 = minimum(bcrit_plot) * 0.8\n",
+    "x1 = maximum(bcrit_plot) * 1.2\n",
+    "y0 = minimum(Q0_plot)\n",
+    "y1 = maximum(Q0_plot)\n",
+    "\n",
+    "xvals = range(x0, x1; length=350)\n",
+    "yvals = range(y0, y1; length=350)\n",
+    "\n",
+    "locked_mask = zeros(Float64, length(yvals), length(xvals))\n",
+    "for iy in eachindex(yvals)\n",
+    "    y = yvals[iy]\n",
+    "    for ix in eachindex(xvals)\n",
+    "        x = xvals[ix]\n",
+    "        # locked when bcrit exceeds the boundary for that Q0\n",
+    "        locked_mask[iy, ix] = x >= curve_itp(y) ? 1.0 : 0.0\n",
+    "    end\n",
+    "end\n",
+    "\n",
+    "p = contourf(\n",
+    "    xvals, yvals, locked_mask',\n",
+    "    levels=[-0.5, 0.5, 1.5],\n",
+    "    c=[:navy, :firebrick],\n",
+    "    colorbar=false,\n",
+    "    xlabel=\"b_crit\",\n",
+    "    ylabel=\"Q_0\",\n",
+    "    title=\"Locked / unlocked region\",\n",
+    "    framestyle=:box,\n",
+    "    xlims=(x0, x1),\n",
+    "    ylims=(y0, y1),\n",
+    "    legend=false\n",
+    ")\n",
+    "\n",
+    "# Critical boundary\n",
+    "plot!(p, bcrit_plot, Q0_plot; lw=3, color=:black, label=\"critical boundary\")\n",
+    "\n",
+    "# Critical point\n",
+    "cp_idx = argmax(bcrit_plot)\n",
+    "cp_x = bcrit_plot[cp_idx]\n",
+    "cp_y = Q0_plot[cp_idx]\n",
+    "scatter!(p, [cp_x], [cp_y]; color=:gold, marker=:star5, ms=12, label=\"critical point\")\n",
+    "\n",
+    "# Single legend block with one entry per category\n",
+    "plot!(p, [NaN], [NaN]; color=:firebrick, lw=4, label=\"locked\")\n",
+    "plot!(p, [NaN], [NaN]; color=:navy, lw=4, label=\"unlocked\")\n",
+    "plot!(p, [NaN], [NaN]; color=:black, lw=3, label=\"critical boundary\")\n",
+    "scatter!(p, [NaN], [NaN]; color=:gold, marker=:star5, ms=12, label=\"critical point\")\n",
+    "\n",
+    "plot!(p; legend=:topright)\n",
+    "\n",
+    "display(p)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# You can substitute any valid SLAYERParameters you already have.\n",
     "# This is just an example skeleton.\n",
@@ -135,7 +352,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5",
+   "id": "9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -158,7 +375,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6",
+   "id": "10",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -170,7 +387,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7",
+   "id": "11",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -212,7 +429,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "8",
+   "id": "12",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -224,6 +441,8 @@
     "\n",
     "rhs = (tb.lu * tb.sval^2 / 2) * br_ratio^2\n",
     "\n",
+    "\n",
+    "\n",
     "println(\"lhs = \", lhs)\n",
     "println(\"rhs = \", rhs)\n",
     "println(\"lhs/rhs = \", lhs / rhs)"
@@ -232,7 +451,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9",
+   "id": "13",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -241,7 +460,7 @@
     "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for (q, jxb) in zip(Qs, jxbs)]\n",
     "br_t = brcrit\n",
     "println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", tb.delta_n_p)\n",
-    "T_EM = tb.lu * tb.sval^2/2 * (br_t / p.bt)^2 * jxbs\n",
+    "T_EM = tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs\n",
     "i = Qpeak_ind\n",
     "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
     "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
diff --git a/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb b/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
index 94f04beac..a4d02d76f 100644
--- a/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
+++ b/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
@@ -146,9 +146,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "Qs = range(-5.0, 5.0, length=200)\n",
+    "Qs = range(-5.0, 5.0, length=20)\n",
     "\n",
-    "vals = [torque_balance_value(tb, q) for q in Qs]"
+    "vals = [torque_balance_value(tb, q) for q in Qs]\n",
+    "\n",
+    "# 1m 34.7s for length = 2\n",
+    "# 46 m for length = 20\n"
    ]
   },
   {
@@ -194,6 +197,33 @@
     "\n",
     "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "10",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\n",
+    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"jxb\")\n",
+    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(vals), label=\"Re(balance)\", lw=2)\n",
+    "plot!(p3, Qs, imag.(vals), label=\"Im(balance)\", lw=2)\n",
+    "xlabel!(p3, \"Q\")\n",
+    "ylabel!(p3, \"balance\")\n",
+    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "\n",
+    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
+   ]
   }
  ],
  "metadata": {

From ddd54fefb2051d59e65b5e3537fc5d1ce4f91de3 Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Sun, 16 Aug 2026 20:10:59 -0400
Subject: [PATCH 3/9] WIP - In progress bcrit full workflow

---
 Project.toml                                  |   4 +-
 benchmarks/benchmark_against_fortran_run.jl   |  24 +-
 ...hmark_coil_ForcingTerms_against_fortran.jl | 121 ++--
 benchmarks/benchmark_delta_prime_methods.jl   |   4 +-
 .../benchmark_diiid_ideal_ntv_torque.jl       |   4 +-
 .../benchmark_diiid_kinetic_stability.jl      |   4 +-
 benchmarks/benchmark_riccati_der.jl           |   4 +-
 .../benchmark_solovev_kinetic_stability.jl    |  34 +-
 benchmarks/benchmark_threads.jl               |   4 +-
 benchmarks/compare_gal_vs_el.jl               |   6 +-
 benchmarks/equil_method_comparison.jl         |  20 +-
 benchmarks/equil_numerical_params.jl          |  12 +-
 benchmarks/equil_psihigh_scan.jl              |  31 +-
 benchmarks/equil_psilow_scan.jl               |   8 +-
 benchmarks/equil_spline_comparison.jl         | 342 +++++----
 benchmarks/plot_xi_eigenmode.jl               |   2 +-
 benchmarks/verify_gal_match.jl                |   7 +-
 docs/make.jl                                  |   4 +-
 docs/src/forcing_terms.md                     |   2 +-
 examples/DIIID-like_SLAYER_example/gpec.toml  |   9 +
 .../analyze_example.jl                        |   2 +-
 .../run_imas_example.jl                       |   8 +-
 examples/LAR_beta_scan/run_scan.jl            |  51 +-
 examples/LAR_epsilon_scan/run_scan.jl         |  51 +-
 .../Solovev_ideal_example/analyze_example.jl  |  11 +-
 .../analyze_example.jl                        |  17 +-
 regression-harness/src/database.jl            |  70 +-
 regression-harness/src/env.jl                 |   8 +-
 regression-harness/src/reporter.jl            |   6 +-
 regression-harness/src/types.jl               |   5 +-
 regression-harness/src/utils.jl               |   2 +-
 src/Analysis/Equilibrium.jl                   |  17 +-
 src/Analysis/PerturbedEquilibrium.jl          |  52 +-
 src/Analysis/PerturbedEquilibriumModes.jl     |  53 +-
 src/Equilibrium/AnalyticEquilibrium.jl        | 120 ++--
 src/Equilibrium/DirectEquilibriumArcLength.jl |  11 +-
 src/Equilibrium/Equilibrium.jl                |  44 +-
 src/Equilibrium/EquilibriumTypes.jl           |  35 +-
 src/Equilibrium/GeometryProfiles.jl           |   4 +-
 src/Equilibrium/ReadEquilibrium.jl            |  12 +-
 src/ForceFreeStates/EulerLagrange.jl          |  48 +-
 .../Galerkin/GalerkinAssembly.jl              |  19 +-
 src/ForceFreeStates/Galerkin/GalerkinGrid.jl  |   2 +-
 src/ForceFreeStates/Galerkin/GalerkinSolve.jl |   4 +-
 src/ForceFreeStates/Resist.jl                 |  52 +-
 src/ForceFreeStates/ResistEval.jl             |  85 +--
 src/ForceFreeStates/Riccati.jl                | 423 +++++------
 src/ForceFreeStates/Sing.jl                   |   8 +-
 src/ForcingTerms/BiotSavart.jl                |  63 +-
 src/ForcingTerms/CoilGeometry.jl              |  12 +-
 .../coil_geometries/jet_ex_mid.dat            | 338 ++++-----
 src/ForcingTerms/coil_geometries/jtext_l.dat  | 162 ++---
 src/ForcingTerms/coil_geometries/jtext_m.dat  | 162 ++---
 src/ForcingTerms/coil_geometries/jtext_u.dat  | 162 ++---
 .../coil_geometries/mastu_efcc.dat            | 338 ++++-----
 .../coil_geometries/mastu_rmpl.dat            | 674 +++++++++---------
 .../coil_geometries/mastu_rmpu.dat            | 338 ++++-----
 src/HDF5Schema.jl                             |  19 +-
 src/InnerLayer/GGJ/Ray.jl                     |   2 -
 src/InnerLayer/InnerLayerInterface.jl         |   8 +-
 src/InnerLayer/SLAYER/LayerInputs.jl          |   9 +
 src/InnerLayer/SLAYER/LayerParameters.jl      |  50 +-
 src/KineticForces/BounceAveraging.jl          | 155 ++--
 src/KineticForces/EnergyIntegration.jl        |  50 +-
 src/KineticForces/KineticForces.jl            |   4 +-
 src/KineticForces/KineticForcesStructs.jl     |  83 ++-
 src/KineticForces/Output.jl                   |  12 +-
 src/KineticForces/PitchIntegration.jl         |  68 +-
 src/KineticForces/Torque.jl                   | 259 +++----
 src/KineticForces/Utils.jl                    |   4 +-
 src/LocalStability/Ballooning.jl              |  48 +-
 .../FieldReconstruction.jl                    |  10 +-
 .../PerturbedEquilibriumStructs.jl            |  21 +-
 src/PerturbedEquilibrium/Utils.jl             | 104 +--
 src/Rerun.jl                                  |  19 +-
 .../CriticalResonantField.jl                  |   4 +-
 .../CriticalResonantField/TorqueBalance.jl    | 116 ++-
 .../CriticalResonantField/bcrit_dev.ipynb     | 402 ++++-------
 src/Tearing/Dispersion/BruteForceScan.jl      |  22 +-
 src/Tearing/Dispersion/ContourSearchAMR.jl    |   4 +-
 src/Tearing/Dispersion/CoupledFullMatch.jl    |   2 +-
 .../Dispersion/GrowthRateExtraction.jl        |   8 +-
 src/Tearing/Runner/Control.jl                 |  41 ++
 src/Tearing/Runner/HDF5Output.jl              |  34 +-
 src/Tearing/Runner/Result.jl                  |  40 +-
 src/Tearing/Runner/Runner.jl                  |   9 +-
 src/Tearing/Runner/run_slayer.jl              |  79 ++
 src/Tearing/Tearing.jl                        |   2 +
 src/Utilities/GridUtilities.jl                |  24 +-
 src/Utilities/HDF5Annotations.jl              |   3 +-
 src/Utilities/PhysicalConstants.jl            |   8 +-
 src/Vacuum/PnQuadCache.jl                     |  18 +-
 test/runtests_coordinate_invariant.jl         |  30 +-
 test/runtests_dispersion_amr.jl               |  74 +-
 test/runtests_dispersion_coupled.jl           |  64 +-
 test/runtests_dispersion_coupled_full.jl      |   2 +-
 test/runtests_dispersion_polish.jl            |   4 +-
 test/runtests_dispersion_residual.jl          |  24 +-
 test/runtests_dispersion_scan.jl              |  42 +-
 test/runtests_equil.jl                        |  22 +-
 test/runtests_eulerlagrange.jl                |   2 +-
 test/runtests_imas.jl                         |  34 +-
 test/runtests_kinetic.jl                      |   8 +-
 test/runtests_parallel_integration.jl         |  63 +-
 test/runtests_rerun_from_h5.jl                |   6 +-
 test/runtests_riccati.jl                      |   4 +-
 test/runtests_sing.jl                         |  16 +-
 test/runtests_tj_analytic.jl                  |  46 +-
 108 files changed, 3299 insertions(+), 2998 deletions(-)

diff --git a/Project.toml b/Project.toml
index fe2f324d5..658824c00 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,7 +1,7 @@
 name = "GeneralizedPerturbedEquilibrium"
 uuid = "462872dd-e066-4d2e-b993-6468b5239634"
 license = "MIT"
-authors = ["Nikolas Logan <ncl2128@columbia.edu>", "Jong-Kyu Park <jkpark@snu.ac.kr>", "Matthew Pharr <m.pharr@protonmail.com>", "Jacob Halpern <jmh2363@columbia.edu>", "Rithik Banerjee <rb3736@columbia.edu>", "Jaebeom Cho <aspire1019@snu.ac.kr>", "Daniel Burgess <dab2245@columbia.edu>", "Min-Gu Yoo <yoom@fusion.gat.com>"]
+authors = ["Nikolas Logan <ncl2128@columbia.edu>", "Jong-Kyu Park <jkpark@snu.ac.kr>", "Matthew Pharr <m.pharr@protonmail.com>", "Jacob Halpern <jmh2363@columbia.edu>", "Rithik Banerjee <rb3736@columbia.edu>", "Jaebeom Cho <aspire1019@snu.ac.kr>", "Daniel Burgess <dab2245@columbia.edu>", "Min-Gu Yoo <yoom@fusion.gat.com>","Evan Bursch <emb2333@columbia.edu>"]
 version = "0.1.0"
 
 [deps]
@@ -69,5 +69,3 @@ Statistics = "1"
 TOML = "1"
 Test = "1"
 julia = "1.11"
-
-
diff --git a/benchmarks/benchmark_against_fortran_run.jl b/benchmarks/benchmark_against_fortran_run.jl
index 6116a8058..42618bb47 100644
--- a/benchmarks/benchmark_against_fortran_run.jl
+++ b/benchmarks/benchmark_against_fortran_run.jl
@@ -109,7 +109,7 @@ end
 
 function _find_indexed2_float(text::String, name::String, i::Int, j::Int; default=nothing)
     m = match(Regex(
-            "\\b$(name)\\s*\\(\\s*$(i)\\s*,\\s*$(j)\\s*\\)\\s*=\\s*([+-]?[\\d.]+(?:[eE][+-]?\\d+)?)", "i"),
+        "\\b$(name)\\s*\\(\\s*$(i)\\s*,\\s*$(j)\\s*\\)\\s*=\\s*([+-]?[\\d.]+(?:[eE][+-]?\\d+)?)", "i"),
         text)
     isnothing(m) ? default : parse(Float64, m.captures[1])
 end
@@ -548,8 +548,8 @@ function compare_phix(
 
     grid = ForcingTerms.sample_boundary_grid(equil, p.mtheta_coil, p.nzeta_coil; psi=psilim)
     nobs = p.mtheta_coil * p.nzeta_coil
-    obs_R = zeros(nobs);
-    obs_phi = zeros(nobs);
+    obs_R = zeros(nobs)
+    obs_phi = zeros(nobs)
     obs_Z = zeros(nobs)
     for j in 1:p.nzeta_coil, i in 1:p.mtheta_coil
         idx = i + (j - 1) * p.mtheta_coil
@@ -557,8 +557,8 @@ function compare_phix(
         obs_phi[idx] = grid.phi_grid[j] + grid.phi_offset[i]
         obs_Z[idx] = grid.Z[i]
     end
-    B_R = zeros(nobs);
-    B_phi = zeros(nobs);
+    B_R = zeros(nobs)
+    B_phi = zeros(nobs)
     B_Z = zeros(nobs)
     ForcingTerms.compute_biot_savart_boundary!(B_R, B_phi, B_Z, obs_R, obs_phi, obs_Z, coil_sets)
     bn = zeros(p.mtheta_coil, p.nzeta_coil)
@@ -639,9 +639,9 @@ function build_comparison_table(fort, julia, fortran_dir, bench_dir, nn)
     push!(lines, "")
 
     push!(lines, "--- Mercier Criterion ---")
-    fdi = fort["di"];
+    fdi = fort["di"]
     fdr = fort["dr"]
-    jdi = julia["di"];
+    jdi = julia["di"]
     jdr = julia["dr"]
     if !isempty(jdi) && !isempty(fdi)
         jdi_on_fg = [_interp1(jq_psi, jdi, p) for p in fq_psi]
@@ -857,7 +857,7 @@ function build_comparison_table(fort, julia, fortran_dir, bench_dir, nn)
 end
 
 function _interp1(x::AbstractVector, y::AbstractVector, xi::Real)
-    n = length(x);
+    n = length(x)
     n < 2 && return y[1]
     xi <= x[1] && return y[1]
     xi >= x[end] && return y[end]
@@ -1451,15 +1451,15 @@ function main(argv=ARGS)
     println()
     table_lines = build_comparison_table(fort, julia, fortran_dir, bench_dir, p.nn)
     for line in table_lines
-        ;
-        println(line);
+
+        println(line)
     end
 
     table_path = joinpath(bench_dir, "comparison_table.txt")
     open(table_path, "w") do io
         for line in table_lines
-            ;
-            println(io, line);
+
+            println(io, line)
         end
     end
     println("\nComparison table saved to: ", abspath(table_path))
diff --git a/benchmarks/benchmark_coil_ForcingTerms_against_fortran.jl b/benchmarks/benchmark_coil_ForcingTerms_against_fortran.jl
index 22e2b1938..e6c9b60cf 100644
--- a/benchmarks/benchmark_coil_ForcingTerms_against_fortran.jl
+++ b/benchmarks/benchmark_coil_ForcingTerms_against_fortran.jl
@@ -25,7 +25,7 @@ using NCDatasets
 using Plots
 using Printf
 
-const OUTPUT_DIR  = joinpath(@__DIR__, "coil_pipeline")
+const OUTPUT_DIR = joinpath(@__DIR__, "coil_pipeline")
 const COIL_DAT_DIR = joinpath(@__DIR__, "..", "src", "ForcingTerms", "coil_geometries")
 
 # ---------------------------------------------------------------------------
@@ -89,38 +89,38 @@ end
 
 function parse_fortran_run(dir::String)::FortranRunParams
     equil_file = joinpath(dir, "equil.in")
-    dcon_file  = joinpath(dir, "dcon.in")
-    coil_file  = joinpath(dir, "coil.in")
+    dcon_file = joinpath(dir, "dcon.in")
+    coil_file = joinpath(dir, "coil.in")
 
     isfile(equil_file) || error("equil.in not found in $dir")
-    isfile(dcon_file)  || error("dcon.in not found in $dir")
-    isfile(coil_file)  || error("coil.in not found in $dir")
+    isfile(dcon_file) || error("dcon.in not found in $dir")
+    isfile(coil_file) || error("coil.in not found in $dir")
 
-    eq_text   = _strip_fortran_comments(read(equil_file, String))
-    dcon_text = _strip_fortran_comments(read(dcon_file,  String))
-    coil_text = _strip_fortran_comments(read(coil_file,  String))
+    eq_text = _strip_fortran_comments(read(equil_file, String))
+    dcon_text = _strip_fortran_comments(read(dcon_file, String))
+    coil_text = _strip_fortran_comments(read(coil_file, String))
 
     # Equilibrium parameters
-    eq_type   = _find_string(eq_text, "eq_type";   default="efit")
-    eq_file   = _find_string(eq_text, "eq_filename"; default="")
-    jac_type  = _find_string(eq_text, "jac_type";  default="hamada")
-    psilow    = _find_scalar(eq_text, "psilow";    default=1e-4)
-    psihigh   = _find_scalar(eq_text, "psihigh";   default=0.99)
-    mtheta_eq = _find_int(eq_text,    "mtheta";    default=256)
+    eq_type = _find_string(eq_text, "eq_type"; default="efit")
+    eq_file = _find_string(eq_text, "eq_filename"; default="")
+    jac_type = _find_string(eq_text, "jac_type"; default="hamada")
+    psilow = _find_scalar(eq_text, "psilow"; default=1e-4)
+    psihigh = _find_scalar(eq_text, "psihigh"; default=0.99)
+    mtheta_eq = _find_int(eq_text, "mtheta"; default=256)
     grid_type = _find_string(eq_text, "grid_type"; default="ldp")
 
     # Toroidal mode number and m-range expansion
-    nn          = _find_int(dcon_text, "nn";          default=1)
-    delta_mlow  = _find_int(dcon_text, "delta_mlow";  default=8)
+    nn = _find_int(dcon_text, "nn"; default=1)
+    delta_mlow = _find_int(dcon_text, "delta_mlow"; default=8)
     delta_mhigh = _find_int(dcon_text, "delta_mhigh"; default=8)
 
     # Coil grid parameters
     mtheta_coil = _find_int(coil_text, "cmtheta"; default=480)
-    nzeta_coil  = _find_int(coil_text, "cmzeta";  default=40)
-    machine     = _find_string(coil_text, "machine"; default="d3d")
-    coil_num    = _find_int(coil_text, "coil_num"; default=1)
+    nzeta_coil = _find_int(coil_text, "cmzeta"; default=40)
+    machine = _find_string(coil_text, "machine"; default="d3d")
+    coil_num = _find_int(coil_text, "coil_num"; default=1)
 
-    coil_names    = String[]
+    coil_names = String[]
     coil_currents = Vector{Float64}[]
     for ci in 1:coil_num
         name = _find_indexed_string(coil_text, "coil_name", ci; default="coil$ci")
@@ -135,9 +135,9 @@ function parse_fortran_run(dir::String)::FortranRunParams
     end
 
     return FortranRunParams(eq_type, eq_file, jac_type, psilow, psihigh, mtheta_eq,
-                            grid_type, nn, delta_mlow, delta_mhigh,
-                            mtheta_coil, nzeta_coil, machine,
-                            coil_names, coil_currents)
+        grid_type, nn, delta_mlow, delta_mhigh,
+        mtheta_coil, nzeta_coil, machine,
+        coil_names, coil_currents)
 end
 
 function find_output_nc(dir::String, nn::Int)
@@ -177,16 +177,16 @@ end
 nc_path = find_output_nc(run_dir, p.nn)
 
 # Read Fortran output (psilim and Phi_x spectrum)
-fortran_m      = Int[]
-fortran_Phix   = Float64[]
+fortran_m = Int[]
+fortran_Phix = Float64[]
 fortran_psilim = NaN
 NCDatasets.Dataset(nc_path, "r") do ds
-    global fortran_m      = Int.(ds["m"][:])
+    global fortran_m = Int.(ds["m"][:])
     global fortran_psilim = Float64(ds.attrib["psilim"])
     phi_x_raw = ds["Phi_x"][:, :]   # (mpert, 2); col 1=cos, col 2=sin
-    global fortran_Phix = sqrt.(phi_x_raw[:, 1].^2 .+ phi_x_raw[:, 2].^2)
+    global fortran_Phix = sqrt.(phi_x_raw[:, 1] .^ 2 .+ phi_x_raw[:, 2] .^ 2)
 end
-mlow  = minimum(fortran_m)
+mlow = minimum(fortran_m)
 mhigh = maximum(fortran_m)
 @printf "    Fortran psilim=%.6f,  m=%d:%d\n" fortran_psilim mlow mhigh
 
@@ -196,15 +196,15 @@ mhigh = maximum(fortran_m)
 println("\n[2/4] Loading equilibrium ...")
 t_equil = @elapsed begin
     eq_dict = Dict{String,Any}(
-        "eq_type"      => p.eq_type,
-        "eq_filename"  => p.eq_filename,
-        "jac_type"     => p.jac_type,
-        "psilow"       => p.psilow,
-        "psihigh"      => p.psihigh,
-        "mtheta"       => p.mtheta_equil,
-        "grid_type"    => p.grid_type,
+        "eq_type" => p.eq_type,
+        "eq_filename" => p.eq_filename,
+        "jac_type" => p.jac_type,
+        "psilow" => p.psilow,
+        "psihigh" => p.psihigh,
+        "mtheta" => p.mtheta_equil,
+        "grid_type" => p.grid_type,
         "psi_accuracy" => 0.001,
-        "etol"         => 1e-7,
+        "etol" => 1e-7
     )
     eq_config = Equilibrium.EquilibriumConfig(eq_dict, run_dir)
     equil = Equilibrium.setup_equilibrium(eq_config)
@@ -223,7 +223,7 @@ for (name, currents) in zip(p.coil_names, p.coil_currents)
     isfile(dat_path) || error("Coil geometry file not found: $dat_path")
     raw = read_coil_dat(dat_path)
     push!(coil_sets, CoilSet(raw.name, raw.ncoil, raw.s, raw.nw, raw.nsec,
-                             raw.x, raw.y, raw.z, Float64.(currents[1:raw.ncoil])))
+        raw.x, raw.y, raw.z, Float64.(currents[1:raw.ncoil])))
 end
 for cs in coil_sets
     @printf "    %-10s %d conductors  currents: %s A\n" cs.name cs.ncoil string(round.(cs.currents; digits=1))
@@ -231,18 +231,22 @@ end
 
 julia_modes = ForcingMode[]
 bnd_grid = nothing
-bn       = nothing
-t_biot   = @elapsed begin
+bn = nothing
+t_biot = @elapsed begin
     bnd_grid = sample_boundary_grid(equil, p.mtheta_coil, p.nzeta_coil; psi=fortran_psilim)
     nobs = p.mtheta_coil * p.nzeta_coil
-    obs_R   = zeros(nobs); obs_phi = zeros(nobs); obs_Z = zeros(nobs)
+    obs_R = zeros(nobs)
+    obs_phi = zeros(nobs)
+    obs_Z = zeros(nobs)
     for j in 1:p.nzeta_coil, i in 1:p.mtheta_coil
         idx = i + (j - 1) * p.mtheta_coil
-        obs_R[idx]   = bnd_grid.R[i]
+        obs_R[idx] = bnd_grid.R[i]
         obs_phi[idx] = bnd_grid.phi_grid[j] + bnd_grid.phi_offset[i]
-        obs_Z[idx]   = bnd_grid.Z[i]
+        obs_Z[idx] = bnd_grid.Z[i]
     end
-    B_R = zeros(nobs); B_phi = zeros(nobs); B_Z = zeros(nobs)
+    B_R = zeros(nobs)
+    B_phi = zeros(nobs)
+    B_Z = zeros(nobs)
     compute_biot_savart_boundary!(B_R, B_phi, B_Z, obs_R, obs_phi, obs_Z, coil_sets)
     bn = zeros(p.mtheta_coil, p.nzeta_coil)
     project_normal_flux!(bn, B_R, B_Z, bnd_grid)
@@ -250,7 +254,7 @@ t_biot   = @elapsed begin
 end
 @printf "    Done in %.1f s,  max|Phi_x| = %.3e T·m²\n" t_biot maximum(abs, bn)
 
-julia_m    = [md.m for md in sort(julia_modes; by=md -> md.m)]
+julia_m = [md.m for md in sort(julia_modes; by=md -> md.m)]
 julia_amps = abs.([md.amplitude for md in sort(julia_modes; by=md -> md.m)])
 
 # Print comparison table
@@ -259,7 +263,7 @@ println("    " * "-"^55)
 for (jm, ja) in zip(julia_m, julia_amps)
     k = findfirst(==(jm), fortran_m)
     if !isnothing(k)
-        fp    = fortran_Phix[k]
+        fp = fortran_Phix[k]
         ratio = ja > 1e-40 ? fp / ja : NaN
         @printf "    %3d    %12.4e         %12.4e      %.4f\n" jm ja fp ratio
     end
@@ -272,7 +276,7 @@ println("    Expected ratio ≈ 1.000 for all modes.")
 println("\n[4/4] Generating figure ...")
 
 function step_series(m_vals, amps)
-    m_ext   = [m_vals[1] - 1; m_vals; m_vals[end] + 1]
+    m_ext = [m_vals[1] - 1; m_vals; m_vals[end] + 1]
     amp_ext = [0.0; amps; 0.0]
     return m_ext, amp_ext
 end
@@ -286,19 +290,20 @@ p2 = plot_bn_contour(bn, p.mtheta_coil, p.nzeta_coil; n=p.nn)
 title!(p2, "Normal flux Φₓ(θ, ζ)  at ψ=$(round(fortran_psilim; digits=4))")
 
 # Panel 3: Julia vs Fortran Phi_x spectrum
-jm_ext, ja_ext   = step_series(julia_m, julia_amps)
-fm_ext, fa_ext   = step_series(fortran_m, fortran_Phix)
+jm_ext, ja_ext = step_series(julia_m, julia_amps)
+fm_ext, fa_ext = step_series(fortran_m, fortran_Phix)
 p3 = plot(; xlabel="Poloidal mode m", ylabel="|Phi_x| [T·m²]",
-            title="Spectrum: Julia vs Fortran  (n=$(p.nn))",
-            legend=:topright)
+    title="Spectrum: Julia vs Fortran  (n=$(p.nn))",
+    legend=:topright)
 plot!(p3, jm_ext, ja_ext; seriestype=:steppre, lw=2, color=:blue,
-      label="Julia ψ=$(round(fortran_psilim; digits=4))")
+    label="Julia ψ=$(round(fortran_psilim; digits=4))")
 plot!(p3, fm_ext, fa_ext; seriestype=:steppre, lw=2, color=:orange,
-      linestyle=:dash, label="Fortran Phi_x")
-ylims!(p3, (0, Inf)); xlims!(p3, mlow - 2, mhigh + 2)
+    linestyle=:dash, label="Fortran Phi_x")
+ylims!(p3, (0, Inf));
+xlims!(p3, mlow - 2, mhigh + 2)
 
 # Panel 4: Phi_x / Julia ratio
-ratio_m    = Int[]
+ratio_m = Int[]
 ratio_vals = Float64[]
 for (jm, ja) in zip(julia_m, julia_amps)
     k = findfirst(==(jm), fortran_m)
@@ -308,8 +313,8 @@ for (jm, ja) in zip(julia_m, julia_amps)
     end
 end
 p4 = plot(; xlabel="Poloidal mode m", ylabel="Phi_x / Julia",
-            title="Ratio (flat at 1.0 → correct)",
-            legend=:topright)
+    title="Ratio (flat at 1.0 → correct)",
+    legend=:topright)
 if !isempty(ratio_m)
     scatter!(p4, ratio_m, ratio_vals; color=:blue, label="ratio", markersize=5)
     hline!(p4, [1.0]; color=:red, linestyle=:dash, label="expected = 1.0")
@@ -318,8 +323,8 @@ xlims!(p4, mlow - 2, mhigh + 2)
 
 run_label = basename(run_dir)
 fig = plot(p1, p2, p3, p4;
-           layout=(2, 2), size=(1400, 900),
-           plot_title="$run_label  |  $(p.machine)  n=$(p.nn)  psilim=$(round(fortran_psilim; digits=4))")
+    layout=(2, 2), size=(1400, 900),
+    plot_title="$run_label  |  $(p.machine)  n=$(p.nn)  psilim=$(round(fortran_psilim; digits=4))")
 
 out_png = joinpath(OUTPUT_DIR, "coil_pipeline_$(run_label)_n$(p.nn).png")
 savefig(fig, out_png)
diff --git a/benchmarks/benchmark_delta_prime_methods.jl b/benchmarks/benchmark_delta_prime_methods.jl
index 917e7c9c5..d005eea7e 100644
--- a/benchmarks/benchmark_delta_prime_methods.jl
+++ b/benchmarks/benchmark_delta_prime_methods.jl
@@ -32,8 +32,8 @@ function setup_and_run_solovev()
     intr.wall_settings = GeneralizedPerturbedEquilibrium.Vacuum.WallShapeSettings(;
         (Symbol(k) => v for (k, v) in inputs["Wall"])...)
     FFS.sing_lim!(intr, ctrl, equil)
-    intr.nlow = ctrl.nn_low;
-    intr.nhigh = ctrl.nn_high;
+    intr.nlow = ctrl.nn_low
+    intr.nhigh = ctrl.nn_high
     intr.npert = 1
     FFS.sing_find!(intr, equil)
     intr.mlow = min(intr.nlow * equil.params.qmin, 0) - 4 - ctrl.delta_mlow
diff --git a/benchmarks/benchmark_diiid_ideal_ntv_torque.jl b/benchmarks/benchmark_diiid_ideal_ntv_torque.jl
index 7da279b91..92b788afc 100644
--- a/benchmarks/benchmark_diiid_ideal_ntv_torque.jl
+++ b/benchmarks/benchmark_diiid_ideal_ntv_torque.jl
@@ -35,7 +35,9 @@ const KF = GPE.KineticForces
 const Eq = GPE.Equilibrium
 const PE = GPE.PerturbedEquilibrium
 
-"Fortran GPEC DIII-D ideal example run directory, from the environment (no on-disk default)."
+"""
+Fortran GPEC DIII-D ideal example run directory, from the environment (no on-disk default).
+"""
 default_fortran_dir() = get(() -> error("Set GPEC_FORTRAN_DIIID, or pass the Fortran run directory as the first argument"),
     ENV, "GPEC_FORTRAN_DIIID")
 
diff --git a/benchmarks/benchmark_diiid_kinetic_stability.jl b/benchmarks/benchmark_diiid_kinetic_stability.jl
index 9ae37b6b3..91ab5b172 100644
--- a/benchmarks/benchmark_diiid_kinetic_stability.jl
+++ b/benchmarks/benchmark_diiid_kinetic_stability.jl
@@ -36,7 +36,9 @@ using GeneralizedPerturbedEquilibrium
 const GPE = GeneralizedPerturbedEquilibrium
 const AnalysisFFS = GPE.Analysis.ForceFreeStates
 
-"Fortran GPEC DIII-D kinetic example run directory, from the environment (no on-disk default)."
+"""
+Fortran GPEC DIII-D kinetic example run directory, from the environment (no on-disk default).
+"""
 default_fortran_dir() = get(() -> error("Set GPEC_FORTRAN_DIIID_DCON, or pass the Fortran run directory as the first argument"),
     ENV, "GPEC_FORTRAN_DIIID_DCON")
 
diff --git a/benchmarks/benchmark_riccati_der.jl b/benchmarks/benchmark_riccati_der.jl
index 6b23c0a81..df083891f 100644
--- a/benchmarks/benchmark_riccati_der.jl
+++ b/benchmarks/benchmark_riccati_der.jl
@@ -33,8 +33,8 @@ function setup_solovev()
     intr.wall_settings = GeneralizedPerturbedEquilibrium.Vacuum.WallShapeSettings(;
         (Symbol(k) => v for (k, v) in inputs["Wall"])...)
     FFS.sing_lim!(intr, ctrl, equil)
-    intr.nlow = ctrl.nn_low;
-    intr.nhigh = ctrl.nn_high;
+    intr.nlow = ctrl.nn_low
+    intr.nhigh = ctrl.nn_high
     intr.npert = 1
     FFS.sing_find!(intr, equil)
     intr.mlow = min(intr.nlow * equil.params.qmin, 0) - 4 - ctrl.delta_mlow
diff --git a/benchmarks/benchmark_solovev_kinetic_stability.jl b/benchmarks/benchmark_solovev_kinetic_stability.jl
index c942a20c6..43b3ba25d 100644
--- a/benchmarks/benchmark_solovev_kinetic_stability.jl
+++ b/benchmarks/benchmark_solovev_kinetic_stability.jl
@@ -43,10 +43,10 @@ using HDF5
 using GeneralizedPerturbedEquilibrium
 const GPE = GeneralizedPerturbedEquilibrium
 
-const REPO            = normpath(joinpath(@__DIR__, ".."))
-const JULIA_FIXTURE   = joinpath(REPO, "test", "test_data", "regression_solovev_kinetic_calculated")
-const FORTRAN_DCON    = get(ENV, "GPEC_FORTRAN_DCON", "")
-const FORTRAN_SOLDIR  = get(ENV, "GPEC_FORTRAN_SOLDIR", "")
+const REPO = normpath(joinpath(@__DIR__, ".."))
+const JULIA_FIXTURE = joinpath(REPO, "test", "test_data", "regression_solovev_kinetic_calculated")
+const FORTRAN_DCON = get(ENV, "GPEC_FORTRAN_DCON", "")
+const FORTRAN_SOLDIR = get(ENV, "GPEC_FORTRAN_SOLDIR", "")
 
 _p(args...) = (println(stderr, args...); flush(stderr))
 
@@ -90,35 +90,35 @@ function build_matched_fortran_deck(workdir::String)
     end
 
     gpec = TOML.parsefile(joinpath(JULIA_FIXTURE, "gpec.toml"))
-    eq   = gpec["Equilibrium"]
-    ffs  = gpec["ForceFreeStates"]
-    kf   = get(gpec, "KineticForces", Dict{String,Any}())
+    eq = gpec["Equilibrium"]
+    ffs = gpec["ForceFreeStates"]
+    kf = get(gpec, "KineticForces", Dict{String,Any}())
 
     # equil.in — grid + coordinate settings to match the Julia [Equilibrium] block.
     eqin = joinpath(workdir, "equil.in")
-    replace_namelist_value!(eqin, "psilow",  string(eq["psilow"]))
+    replace_namelist_value!(eqin, "psilow", string(eq["psilow"]))
     replace_namelist_value!(eqin, "psihigh", string(eq["psihigh"]))
-    replace_namelist_value!(eqin, "mpsi",    string(eq["mpsi"]))
-    replace_namelist_value!(eqin, "mtheta",  string(eq["mtheta"]))
+    replace_namelist_value!(eqin, "mpsi", string(eq["mpsi"]))
+    replace_namelist_value!(eqin, "mtheta", string(eq["mtheta"]))
 
     # dcon.in — kinetic flags already match; align mode band, edge truncation, n.
     dconin = joinpath(workdir, "dcon.in")
-    replace_namelist_value!(dconin, "nn",          string(ffs["nn_low"]))
-    replace_namelist_value!(dconin, "delta_mlow",  string(get(ffs, "delta_mlow", 0)))
+    replace_namelist_value!(dconin, "nn", string(ffs["nn_low"]))
+    replace_namelist_value!(dconin, "delta_mlow", string(get(ffs, "delta_mlow", 0)))
     replace_namelist_value!(dconin, "delta_mhigh", string(get(ffs, "delta_mhigh", 0)))
-    replace_namelist_value!(dconin, "qlow",        string(ffs["qlow"]))
-    replace_namelist_value!(dconin, "qhigh",       string(ffs["qhigh"]))
+    replace_namelist_value!(dconin, "qlow", string(ffs["qlow"]))
+    replace_namelist_value!(dconin, "qhigh", string(ffs["qhigh"]))
     replace_namelist_value!(dconin, "singfac_min", string(ffs["singfac_min"]))
     # Julia set_psilim_via_dmlim defaults true (sas_flag) with dmlim 0.2.
     replace_namelist_value!(dconin, "sas_flag", "t")
-    replace_namelist_value!(dconin, "dmlim",    "0.2")
+    replace_namelist_value!(dconin, "dmlim", "0.2")
 
     # pentrc.in — bounce harmonics + species; defaults mirror KineticForcesControl.
     pentin = joinpath(workdir, "pentrc.in")
-    replace_namelist_value!(pentin, "nl",     string(get(kf, "nl", 1)))
+    replace_namelist_value!(pentin, "nl", string(get(kf, "nl", 1)))
     replace_namelist_value!(pentin, "nutype", "\"" * string(get(kf, "nutype", "harmonic")) * "\"")
     replace_namelist_value!(pentin, "f0type", "\"" * string(get(kf, "f0type", "maxwellian")) * "\"")
-    replace_namelist_value!(pentin, "nufac",  string(get(kf, "nufac", 1)))
+    replace_namelist_value!(pentin, "nufac", string(get(kf, "nufac", 1)))
     replace_namelist_value!(pentin, "kinetic_file", "\"kinetic.txt\"")
 
     # kinetic.txt — Fortran readtable wants a title line then numeric rows; the
diff --git a/benchmarks/benchmark_threads.jl b/benchmarks/benchmark_threads.jl
index 96e37236a..1abd8a3d4 100644
--- a/benchmarks/benchmark_threads.jl
+++ b/benchmarks/benchmark_threads.jl
@@ -21,8 +21,8 @@ function run_ffs(ex; integrator)
     intr.wall_settings = GeneralizedPerturbedEquilibrium.Vacuum.WallShapeSettings(;
         (Symbol(k) => v for (k, v) in inputs["Wall"])...)
     GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_lim!(intr, ctrl, equil)
-    intr.nlow = ctrl.nn_low;
-    intr.nhigh = ctrl.nn_high;
+    intr.nlow = ctrl.nn_low
+    intr.nhigh = ctrl.nn_high
     intr.npert = 1
     GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_find!(intr, equil)
     intr.mlow = min(intr.nlow * equil.params.qmin, 0) - 4 - ctrl.delta_mlow
diff --git a/benchmarks/compare_gal_vs_el.jl b/benchmarks/compare_gal_vs_el.jl
index 98c8e82ef..5b695fb0e 100644
--- a/benchmarks/compare_gal_vs_el.jl
+++ b/benchmarks/compare_gal_vs_el.jl
@@ -43,14 +43,14 @@ xiE = reduce(hcat, (u1[:, :, ip] * cEL for ip in 1:size(u1, 3)))   # (mpert, nE)
 psiGk = psiG
 xiG = reduce(hcat, (gxi[:, :, ip] * w for ip in eachindex(psiG)))    # (mpert, nGk)
 
-ms = mlow .+ (0:mpert-1)
+ms = mlow .+ (0:(mpert-1))
 peak = [maximum(abs, @view xiE[i, :]) for i in 1:mpert]
 order = sortperm(peak; rev=true)
 ndom = min(5, mpert)
 
 # quantitative bulk agreement on the dominant harmonic (linear-interp EL onto gal grid, off rationals/edge)
-lininterp(xq, x, y) = (j = clamp(searchsortedlast(x, xq), 1, length(x) - 1);
-t = (xq - x[j]) / (x[j+1] - x[j]); y[j] * (1 - t) + y[j+1] * t)
+lininterp(xq, x, y) = (j=clamp(searchsortedlast(x, xq), 1, length(x) - 1);
+    t=(xq - x[j]) / (x[j+1] - x[j]); y[j] * (1 - t) + y[j+1] * t)
 idom = order[1]
 inbulk(p) = 0.1 <= p <= 0.92 && all(abs(p - ps) > 8e-3 for ps in sing_psi)
 sel = [ip for ip in eachindex(psiGk) if inbulk(psiGk[ip])]
diff --git a/benchmarks/equil_method_comparison.jl b/benchmarks/equil_method_comparison.jl
index 450423d6a..151dadd72 100644
--- a/benchmarks/equil_method_comparison.jl
+++ b/benchmarks/equil_method_comparison.jl
@@ -21,7 +21,7 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
 using TOML, Printf, Statistics
 
 example_path = length(ARGS) > 0 ? ARGS[1] : joinpath(@__DIR__, "../examples/DIIID-like_ideal_example")
-config_path  = joinpath(example_path, "gpec.toml")
+config_path = joinpath(example_path, "gpec.toml")
 psihigh_override = length(ARGS) > 1 ? parse(Float64, ARGS[2]) : nothing
 
 println("=" ^ 65)
@@ -58,10 +58,10 @@ for method in methods
         success = false
     end
     results[method] = Dict(
-        "success"  => success,
-        "pe"       => pe,
-        "runtime"  => (t1 + t2) / 2.0,
-        "config"   => cfg
+        "success" => success,
+        "pe" => pe,
+        "runtime" => (t1 + t2) / 2.0,
+        "config" => cfg
     )
     success && @printf("  Runtime (avg 2 warm): %.3f s\n", (t1 + t2) / 2.0)
 end
@@ -105,7 +105,7 @@ for method in methods
     results[method]["success"] || continue
     Δq = abs.([q_vals[method][i] - efit_q_interp(psi_nodes[i]) for i in 1:length(psi_nodes)])
     @printf("  |q_%s - q_efit| (ψ<0.95): max=%.2e  rms=%.2e\n",
-        method, maximum(Δq[mask_mid]), sqrt(mean(Δq[mask_mid].^2)))
+        method, maximum(Δq[mask_mid]), sqrt(mean(Δq[mask_mid] .^ 2)))
 end
 
 # ─── Roundtrip error ─────────────────────────────────────────────────────────
@@ -123,15 +123,15 @@ for method in methods
     psio = pe.psio
     psi_xs = pe.rzphi_xs
     psi_ys = pe.rzphi_ys
-    mpsi   = length(psi_xs) - 1
+    mpsi = length(psi_xs) - 1
     mtheta = length(psi_ys) - 1
 
     errors = Float64[]
-    for ipsi in 1:5:mpsi+1
+    for ipsi in 1:5:(mpsi+1)
         ψ_target = psi_xs[ipsi]
-        for itheta in 1:8:mtheta+1
+        for itheta in 1:8:(mtheta+1)
             θ = psi_ys[itheta]
-            r2  = pe.rzphi_rsquared((ψ_target, θ))
+            r2 = pe.rzphi_rsquared((ψ_target, θ))
             off = pe.rzphi_offset((ψ_target, θ))
             rfac = sqrt(max(r2, 0.0))
             η = 2π * (θ + off)
diff --git a/benchmarks/equil_numerical_params.jl b/benchmarks/equil_numerical_params.jl
index f80f0f64c..f37376745 100644
--- a/benchmarks/equil_numerical_params.jl
+++ b/benchmarks/equil_numerical_params.jl
@@ -21,26 +21,26 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
 using TOML, Printf, Statistics
 
 example_path = length(ARGS) > 0 ? ARGS[1] : joinpath(@__DIR__, "../examples/DIIID-like_ideal_example")
-config_path  = joinpath(example_path, "gpec.toml")
+config_path = joinpath(example_path, "gpec.toml")
 
 function make_config(path, eq_type, mpsi, mtheta)
     raw = TOML.parsefile(path)
     raw["Equilibrium"]["eq_type"] = eq_type
-    raw["Equilibrium"]["mpsi"]    = mpsi
-    raw["Equilibrium"]["mtheta"]  = mtheta
+    raw["Equilibrium"]["mpsi"] = mpsi
+    raw["Equilibrium"]["mtheta"] = mtheta
     return Equilibrium.EquilibriumConfig(raw["Equilibrium"], dirname(path))
 end
 
 function roundtrip_error(pe, raw_profile)
     psi_xs = pe.rzphi_xs
-    psio   = pe.psio
+    psio = pe.psio
     mtheta = length(pe.rzphi_ys) - 1
     errors = Float64[]
     for ipsi in 1:4:length(psi_xs)
         ψ = psi_xs[ipsi]
-        for itheta in 1:8:mtheta+1
+        for itheta in 1:8:(mtheta+1)
             θ = pe.rzphi_ys[itheta]
-            r2  = pe.rzphi_rsquared((ψ, θ))
+            r2 = pe.rzphi_rsquared((ψ, θ))
             off = pe.rzphi_offset((ψ, θ))
             rfac = sqrt(max(r2, 0.0))
             η = 2π * (θ + off)
diff --git a/benchmarks/equil_psihigh_scan.jl b/benchmarks/equil_psihigh_scan.jl
index 56f6e9ec6..99788b281 100644
--- a/benchmarks/equil_psihigh_scan.jl
+++ b/benchmarks/equil_psihigh_scan.jl
@@ -29,7 +29,7 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
 using TOML, Printf, Statistics, HDF5
 
 example_path = length(ARGS) > 0 ? ARGS[1] : joinpath(@__DIR__, "../examples/DIIID-like_ideal_example")
-config_path  = joinpath(example_path, "gpec.toml")
+config_path = joinpath(example_path, "gpec.toml")
 
 psihigh_values = [0.980, 0.985, 0.990, 0.993, 0.995, 0.996, 0.997, 0.998, 0.999, 0.9995, 0.9999, 1.0]
 methods = ["efit", "efit_arclength", "efit_by_inversion"]
@@ -121,9 +121,9 @@ for method in methods
             for ipsi in 1:length(psi_xs)
                 psi_xs[ipsi] < 0.90 && continue
                 ψ = psi_xs[ipsi]
-                for itheta in 1:8:mtheta+1
+                for itheta in 1:8:(mtheta+1)
                     θ = pe.rzphi_ys[itheta]
-                    r2  = pe.rzphi_rsquared((ψ, θ))
+                    r2 = pe.rzphi_rsquared((ψ, θ))
                     off = pe.rzphi_offset((ψ, θ))
                     rfac = sqrt(max(r2, 0.0))
                     η = 2π * (θ + off)
@@ -161,13 +161,16 @@ for method in methods
             isnan(q_at_psihigh) ? -1.0 : q_at_psihigh,
             et1_str)
 
-        push!(rows, (
-            method=method, psihigh=psihigh, success=success, runtime=runtime,
-            roundtrip_max_edge=roundtrip_max_edge,
-            q_mono_violations_edge=q_mono_violations_edge,
-            q_at_psihigh=q_at_psihigh, q_edge_slope=q_edge_slope,
-            et1=et1, error_msg=err_msg
-        ))
+        push!(
+            rows,
+            (
+                method=method, psihigh=psihigh, success=success, runtime=runtime,
+                roundtrip_max_edge=roundtrip_max_edge,
+                q_mono_violations_edge=q_mono_violations_edge,
+                q_at_psihigh=q_at_psihigh, q_edge_slope=q_edge_slope,
+                et1=et1, error_msg=err_msg
+            )
+        )
     end
 end
 
@@ -198,9 +201,11 @@ println("et[1] vs psihigh (free-boundary stability eigenvalue):")
 println("  (positive = stable, negative = unstable)")
 @printf("  %-22s  %s\n", "psihigh", join([@sprintf("%-22s", m) for m in methods]))
 for psihigh in psihigh_values
-    vals = [let r = findfirst(x -> x.method == m && x.psihigh == psihigh, rows)
-                r === nothing || isnan(rows[r].et1) ? "      -" : @sprintf("%+.4f", rows[r].et1)
-            end for m in methods]
+    vals = [
+        let r = findfirst(x -> x.method == m && x.psihigh == psihigh, rows)
+            r === nothing || isnan(rows[r].et1) ? "      -" : @sprintf("%+.4f", rows[r].et1)
+        end for m in methods
+    ]
     @printf("  %-22.4f  %s\n", psihigh, join([@sprintf("%-22s", v) for v in vals]))
 end
 println()
diff --git a/benchmarks/equil_psilow_scan.jl b/benchmarks/equil_psilow_scan.jl
index ff5902b7b..1129d5ee1 100644
--- a/benchmarks/equil_psilow_scan.jl
+++ b/benchmarks/equil_psilow_scan.jl
@@ -19,7 +19,7 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
 using TOML, Printf, Statistics
 
 example_path = length(ARGS) > 0 ? ARGS[1] : joinpath(@__DIR__, "../examples/DIIID-like_ideal_example")
-config_path  = joinpath(example_path, "gpec.toml")
+config_path = joinpath(example_path, "gpec.toml")
 
 psilow_values = [1e-1, 5e-2, 1e-2, 5e-3, 1e-3, 5e-4, 1e-4]
 methods = ["efit", "efit_arclength", "efit_by_inversion"]
@@ -82,7 +82,7 @@ for method in methods
             raw_profile = Equilibrium.read_efit(cfg)
             psi_xs = pe.rzphi_xs
             mtheta = length(pe.rzphi_ys) - 1
-            psio   = pe.psio
+            psio = pe.psio
 
             # q0 extrapolated to axis (linear from innermost two grid points)
             q1 = pe.profiles.q_spline.y[1]
@@ -94,9 +94,9 @@ for method in methods
             for ipsi in 1:length(psi_xs)
                 psi_xs[ipsi] > 0.10 && break
                 ψ = psi_xs[ipsi]
-                for itheta in 1:8:mtheta+1
+                for itheta in 1:8:(mtheta+1)
                     θ = pe.rzphi_ys[itheta]
-                    r2  = pe.rzphi_rsquared((ψ, θ))
+                    r2 = pe.rzphi_rsquared((ψ, θ))
                     off = pe.rzphi_offset((ψ, θ))
                     rfac = sqrt(max(r2, 0.0))
                     η = 2π * (θ + off)
diff --git a/benchmarks/equil_spline_comparison.jl b/benchmarks/equil_spline_comparison.jl
index 4cf5337e2..a0ea0bdc0 100644
--- a/benchmarks/equil_spline_comparison.jl
+++ b/benchmarks/equil_spline_comparison.jl
@@ -27,9 +27,9 @@ using TOML, Printf, Statistics, Plots
 
 # ─── CLI arguments ─────────────────────────────────────────────────────────────
 example_path = length(ARGS) > 0 ? ARGS[1] :
-    joinpath(@__DIR__, "../examples/DIIID-like_ideal_example")
+               joinpath(@__DIR__, "../examples/DIIID-like_ideal_example")
 psihigh_arg = length(ARGS) > 1 ? parse(Float64, ARGS[2]) : 0.997
-config_path  = joinpath(example_path, "gpec.toml")
+config_path = joinpath(example_path, "gpec.toml")
 
 println("=" ^ 70)
 println("Equilibrium Spline Comparison: efit / efit_arclength / efit_by_inversion")
@@ -46,38 +46,38 @@ println("Output   : $outdir\n")
 # ─── Config factory ────────────────────────────────────────────────────────────
 function make_config(path::String, eq_type::String, psihigh::Float64)
     raw = TOML.parsefile(path)
-    raw["Equilibrium"]["eq_type"]  = eq_type
+    raw["Equilibrium"]["eq_type"] = eq_type
     raw["Equilibrium"]["psihigh"] = psihigh
     return Equilibrium.EquilibriumConfig(raw["Equilibrium"], dirname(path))
 end
 
 # ─── Load all three equilibria ─────────────────────────────────────────────────
 # efit is the reference; efit_arclength and efit_by_inversion are compared to it.
-ref_method     = "efit"
-compare_methods  = ["efit_arclength", "efit_by_inversion"]
-all_methods      = vcat(ref_method, compare_methods)
+ref_method = "efit"
+compare_methods = ["efit_arclength", "efit_by_inversion"]
+all_methods = vcat(ref_method, compare_methods)
 
 method_color = Dict(
-    "efit"             => :blue,
-    "efit_arclength"   => :darkorange,
-    "efit_by_inversion" => :red,
+    "efit" => :blue,
+    "efit_arclength" => :darkorange,
+    "efit_by_inversion" => :red
 )
 method_style = Dict(
-    "efit"             => :solid,
-    "efit_arclength"   => :dash,
-    "efit_by_inversion" => :dot,
+    "efit" => :solid,
+    "efit_arclength" => :dash,
+    "efit_by_inversion" => :dot
 )
 method_label = Dict(
-    "efit"             => "efit",
-    "efit_arclength"   => "efit_arclength",
-    "efit_by_inversion" => "efit_by_inv",
+    "efit" => "efit",
+    "efit_arclength" => "efit_arclength",
+    "efit_by_inversion" => "efit_by_inv"
 )
 diff_color = Dict(
-    "efit_arclength"   => :darkorange,
-    "efit_by_inversion" => :red,
+    "efit_arclength" => :darkorange,
+    "efit_by_inversion" => :red
 )
 
-pes = Dict{String, Any}()
+pes = Dict{String,Any}()
 for m in all_methods
     println("--- Running: $m ---")
     cfg = make_config(config_path, m, psihigh_arg)
@@ -94,22 +94,26 @@ isempty(failed) || println("Skipping failed methods in comparisons: $(join(faile
 
 haskey(pes, ref_method) || error("Reference method '$ref_method' failed — cannot continue.")
 pe_ref = pes[ref_method]
-all_methods            = filter(m -> haskey(pes, m), all_methods)
+all_methods = filter(m -> haskey(pes, m), all_methods)
 compare_methods_active = filter(m -> haskey(pes, m), compare_methods)
 
 # ─── Helpers ───────────────────────────────────────────────────────────────────
-"Convert (ψ, θ) straight-field-line coordinates → (R, Z) physical coordinates."
+"""
+Convert (ψ, θ) straight-field-line coordinates → (R, Z) physical coordinates.
+"""
 function psi_theta_to_RZ(pe, psi, theta)
-    r2   = pe.rzphi_rsquared((psi, theta))
-    off  = pe.rzphi_offset((psi, theta))
+    r2 = pe.rzphi_rsquared((psi, theta))
+    off = pe.rzphi_offset((psi, theta))
     rfac = sqrt(max(r2, 0.0))
-    η    = 2π * (theta + off)
-    R    = pe.ro + rfac * cos(η)
-    Z    = pe.zo + rfac * sin(η)
+    η = 2π * (theta + off)
+    R = pe.ro + rfac * cos(η)
+    Z = pe.zo + rfac * sin(η)
     return R, Z
 end
 
-"Compute the full (R, Z) trace of each flux surface in psi_vals."
+"""
+Compute the full (R, Z) trace of each flux surface in psi_vals.
+"""
 function flux_surface_RZ(pe, psi_vals, theta_range)
     R_all = [Float64[] for _ in 1:length(psi_vals)]
     Z_all = [Float64[] for _ in 1:length(psi_vals)]
@@ -130,7 +134,7 @@ end
 psi_lo = pe_ref.rzphi_xs[1]
 psi_hi = pe_ref.rzphi_xs[end]
 mpsi_eval = 8 * (length(pe_ref.rzphi_xs) - 1)
-psi_full = psi_lo .+ (psi_hi - psi_lo) .* sin.(range(0.0, 1.0; length=mpsi_eval+1) .* (π/2)).^2
+psi_full = psi_lo .+ (psi_hi - psi_lo) .* sin.(range(0.0, 1.0; length=mpsi_eval+1) .* (π/2)) .^ 2
 
 mask_core = psi_full .< 0.10
 mask_edge = psi_full .> 0.98
@@ -148,16 +152,16 @@ println("1. 1D Profile Comparisons")
 println("=" ^ 70)
 
 profile_specs = [
-    ("F  (2π·R·Bₜ)",  pe -> pe.profiles.F_spline),
-    ("μ₀·P",          pe -> pe.profiles.P_spline),
-    ("dV/dψ",         pe -> pe.profiles.dVdpsi_spline),
-    ("q",             pe -> pe.profiles.q_spline),
+    ("F  (2π·R·Bₜ)", pe -> pe.profiles.F_spline),
+    ("μ₀·P", pe -> pe.profiles.P_spline),
+    ("dV/dψ", pe -> pe.profiles.dVdpsi_spline),
+    ("q", pe -> pe.profiles.q_spline)
 ]
 profile_fnames = ["profile_F", "profile_P", "profile_dVdpsi", "profile_q"]
 
 for (idx, (pname, spl_getter)) in enumerate(profile_specs)
     spl_ref = spl_getter(pe_ref)
-    y_ref   = [spl_ref(ψ) for ψ in psi_full]
+    y_ref = [spl_ref(ψ) for ψ in psi_full]
 
     p_full = plot(psi_full, y_ref; lw=2, color=method_color[ref_method],
         ls=method_style[ref_method], label=method_label[ref_method],
@@ -187,8 +191,8 @@ for (idx, (pname, spl_getter)) in enumerate(profile_specs)
 
     for m in compare_methods_active
         spl_m = spl_getter(pes[m])
-        y_m   = [spl_m(ψ) for ψ in psi_full]
-        Δy    = y_ref .- y_m
+        y_m = [spl_m(ψ) for ψ in psi_full]
+        Δy = y_ref .- y_m
 
         plot!(p_full, psi_full, y_m; lw=1.5, color=method_color[m], ls=method_style[m],
             label=method_label[m])
@@ -227,66 +231,66 @@ z_global_grid = Float64[]
 r_zoom_grid_vis = Float64[]
 z_zoom_grid_vis = Float64[]
 if haskey(pes, "efit_by_inversion")
-let
-    global r_global_grid, z_global_grid, r_zoom_grid_vis, z_zoom_grid_vis
-    cfg_inv   = make_config(config_path, "efit_by_inversion", psihigh_arg)
-    raw_inv   = Equilibrium.read_efit(cfg_inv)
-    ro_g, zo_g = pes["efit_by_inversion"].ro, pes["efit_by_inversion"].zo
-    psio_g    = raw_inv.psio
-    psilow_g  = cfg_inv.psilow
-    topology_g = Equilibrium.classify_topology(raw_inv, psio_g)
-
-    ψ_RR = abs(raw_inv.psi_in((ro_g, zo_g); deriv=DerivOp(2, 0)))
-    ψ_ZZ = abs(raw_inv.psi_in((ro_g, zo_g); deriv=DerivOp(0, 2)))
-    a_low_g = min(sqrt(2 * psilow_g * psio_g / ψ_RR), sqrt(2 * psilow_g * psio_g / ψ_ZZ))
-
-    nw_g = length(raw_inv.psi_in_xs)
-    nh_g = length(raw_inv.psi_in_ys)
-    β_r_g, β_z_g = 2.0, 2.0
-    refine_g = 5
-
-    nr_g = max(4, round(Int, refine_g * nw_g))
-    nz_g = max(4, round(Int, refine_g * nh_g))
-    r_g  = Equilibrium.make_stretched_r_grid(raw_inv.rmin, raw_inv.rmax, ro_g, nr_g, β_r_g)
-    z_g  = Equilibrium.make_stretched_z_grid(raw_inv.zmin, raw_inv.zmax, zo_g, nz_g, topology_g, β_z_g)
-
-    iro_g = clamp(searchsortedfirst(r_g, ro_g), 2, length(r_g))
-    izo_g = clamp(searchsortedfirst(z_g,  zo_g), 2, length(z_g))
-    dR_ax = r_g[iro_g] - r_g[iro_g - 1]
-    dZ_ax = z_g[izo_g] - z_g[izo_g - 1]
-    sc_r  = max(1, ceil(Int, dR_ax / (0.2 * a_low_g)))
-    sc_z  = max(1, ceil(Int, dZ_ax / (0.2 * a_low_g)))
-    if sc_r > 1
-        nr_g = (nr_g - 1) * sc_r + 1
-        r_g  = Equilibrium.make_stretched_r_grid(raw_inv.rmin, raw_inv.rmax, ro_g, nr_g, β_r_g)
+    let
+        global r_global_grid, z_global_grid, r_zoom_grid_vis, z_zoom_grid_vis
+        cfg_inv = make_config(config_path, "efit_by_inversion", psihigh_arg)
+        raw_inv = Equilibrium.read_efit(cfg_inv)
+        ro_g, zo_g = pes["efit_by_inversion"].ro, pes["efit_by_inversion"].zo
+        psio_g = raw_inv.psio
+        psilow_g = cfg_inv.psilow
+        topology_g = Equilibrium.classify_topology(raw_inv, psio_g)
+
+        ψ_RR = abs(raw_inv.psi_in((ro_g, zo_g); deriv=DerivOp(2, 0)))
+        ψ_ZZ = abs(raw_inv.psi_in((ro_g, zo_g); deriv=DerivOp(0, 2)))
+        a_low_g = min(sqrt(2 * psilow_g * psio_g / ψ_RR), sqrt(2 * psilow_g * psio_g / ψ_ZZ))
+
+        nw_g = length(raw_inv.psi_in_xs)
+        nh_g = length(raw_inv.psi_in_ys)
+        β_r_g, β_z_g = 2.0, 2.0
+        refine_g = 5
+
+        nr_g = max(4, round(Int, refine_g * nw_g))
+        nz_g = max(4, round(Int, refine_g * nh_g))
+        r_g = Equilibrium.make_stretched_r_grid(raw_inv.rmin, raw_inv.rmax, ro_g, nr_g, β_r_g)
+        z_g = Equilibrium.make_stretched_z_grid(raw_inv.zmin, raw_inv.zmax, zo_g, nz_g, topology_g, β_z_g)
+
         iro_g = clamp(searchsortedfirst(r_g, ro_g), 2, length(r_g))
-        dR_ax = r_g[iro_g] - r_g[iro_g - 1]
-    end
-    if sc_z > 1
-        nz_g = (nz_g - 1) * sc_z + 1
-        z_g  = Equilibrium.make_stretched_z_grid(raw_inv.zmin, raw_inv.zmax, zo_g, nz_g, topology_g, β_z_g)
         izo_g = clamp(searchsortedfirst(z_g, zo_g), 2, length(z_g))
-        dZ_ax = z_g[izo_g] - z_g[izo_g - 1]
+        dR_ax = r_g[iro_g] - r_g[iro_g-1]
+        dZ_ax = z_g[izo_g] - z_g[izo_g-1]
+        sc_r = max(1, ceil(Int, dR_ax / (0.2 * a_low_g)))
+        sc_z = max(1, ceil(Int, dZ_ax / (0.2 * a_low_g)))
+        if sc_r > 1
+            nr_g = (nr_g - 1) * sc_r + 1
+            r_g = Equilibrium.make_stretched_r_grid(raw_inv.rmin, raw_inv.rmax, ro_g, nr_g, β_r_g)
+            iro_g = clamp(searchsortedfirst(r_g, ro_g), 2, length(r_g))
+            dR_ax = r_g[iro_g] - r_g[iro_g-1]
+        end
+        if sc_z > 1
+            nz_g = (nz_g - 1) * sc_z + 1
+            z_g = Equilibrium.make_stretched_z_grid(raw_inv.zmin, raw_inv.zmax, zo_g, nz_g, topology_g, β_z_g)
+            izo_g = clamp(searchsortedfirst(z_g, zo_g), 2, length(z_g))
+            dZ_ax = z_g[izo_g] - z_g[izo_g-1]
+        end
+        r_global_grid = r_g
+        z_global_grid = z_g
+
+        d_max_g = max(dR_ax, dZ_ax)
+        threshold_g = (10 * d_max_g)^2 * max(ψ_RR, ψ_ZZ) / (2 * psio_g)
+        psi_zoom_max = 9 * threshold_g
+        a_zoom_r = sqrt(2 * psi_zoom_max * psio_g / ψ_RR) * 1.2
+        a_zoom_z = sqrt(2 * psi_zoom_max * psio_g / ψ_ZZ) * 1.2
+        sinh_β = sinh(β_r_g)
+        nr_z = max(200, ceil(Int, 8 * β_r_g * a_zoom_r * 10 / (sinh_β * a_low_g)))
+        nz_z = max(200, ceil(Int, 8 * β_r_g * a_zoom_z * 10 / (sinh_β * a_low_g)))
+        r_zoom_grid_vis = Equilibrium.make_stretched_r_grid(
+            max(raw_inv.rmin, ro_g - a_zoom_r), min(raw_inv.rmax, ro_g + a_zoom_r),
+            ro_g, nr_z, β_r_g)
+        z_zoom_grid_vis = Equilibrium.make_stretched_r_grid(
+            max(raw_inv.zmin, zo_g - a_zoom_z), min(raw_inv.zmax, zo_g + a_zoom_z),
+            zo_g, nz_z, β_r_g)
+        println("  Grid vis: global $(nr_g)×$(nz_g), zoom $(nr_z)×$(nz_z)")
     end
-    r_global_grid = r_g
-    z_global_grid = z_g
-
-    d_max_g      = max(dR_ax, dZ_ax)
-    threshold_g  = (10 * d_max_g)^2 * max(ψ_RR, ψ_ZZ) / (2 * psio_g)
-    psi_zoom_max = 9 * threshold_g
-    a_zoom_r = sqrt(2 * psi_zoom_max * psio_g / ψ_RR) * 1.2
-    a_zoom_z = sqrt(2 * psi_zoom_max * psio_g / ψ_ZZ) * 1.2
-    sinh_β   = sinh(β_r_g)
-    nr_z = max(200, ceil(Int, 8 * β_r_g * a_zoom_r * 10 / (sinh_β * a_low_g)))
-    nz_z = max(200, ceil(Int, 8 * β_r_g * a_zoom_z * 10 / (sinh_β * a_low_g)))
-    r_zoom_grid_vis = Equilibrium.make_stretched_r_grid(
-        max(raw_inv.rmin, ro_g - a_zoom_r), min(raw_inv.rmax, ro_g + a_zoom_r),
-        ro_g, nr_z, β_r_g)
-    z_zoom_grid_vis = Equilibrium.make_stretched_r_grid(
-        max(raw_inv.zmin, zo_g - a_zoom_z), min(raw_inv.zmax, zo_g + a_zoom_z),
-        zo_g, nz_z, β_r_g)
-    println("  Grid vis: global $(nr_g)×$(nz_g), zoom $(nr_z)×$(nz_z)")
-end
 end  # haskey(pes, "efit_by_inversion")
 
 # ═══════════════════════════════════════════════════════════════════════════════
@@ -296,7 +300,7 @@ println("\n" * "=" ^ 70)
 println("2. Flux Surface Contour Overlays")
 println("=" ^ 70)
 
-psi_contours  = collect(range(psi_lo, psi_hi; length=20))
+psi_contours = collect(range(psi_lo, psi_hi; length=20))
 theta_contour = range(0.0, 1.0; length=256)
 
 R_fs = Dict(m => flux_surface_RZ(pes[m], psi_contours, theta_contour) for m in all_methods)
@@ -305,7 +309,7 @@ p_ctr_full = plot(; aspect_ratio=:equal, xlabel="R [m]", ylabel="Z [m]",
     title="Flux surfaces: all methods  (psihigh=$psihigh_arg)")
 p_ctr_core = plot(; aspect_ratio=:equal, xlabel="R [m]", ylabel="Z [m]",
     title="Deep core zoom (innermost 4 surfaces)")
-p_ctr_xpt  = plot(; aspect_ratio=:equal, xlabel="R [m]", ylabel="Z [m]",
+p_ctr_xpt = plot(; aspect_ratio=:equal, xlabel="R [m]", ylabel="Z [m]",
     title="Far edge / x-point zoom (outermost 3 surfaces)")
 
 for m in all_methods
@@ -322,7 +326,7 @@ for m in all_methods
             ls=method_style[m], lw=1.5, label=lbl)
     end
     n_outer = length(psi_contours)
-    for k in (n_outer - 2):n_outer
+    for k in (n_outer-2):n_outer
         lbl = k == n_outer - 2 ? method_label[m] : ""
         plot!(p_ctr_xpt, Rs[k], Zs[k]; color=method_color[m],
             ls=method_style[m], lw=1.5, label=lbl)
@@ -332,45 +336,47 @@ end
 # Grid overplots: scatter subsampled grid points on each panel (only if efit_by_inversion ran).
 # Global grid: every 20th R × 12th Z (grey).  Zoom grid: every 3rd R × 3rd Z (darkgrey).
 if !isempty(r_global_grid)
-let
-    step_rg, step_zg = 20, 12
-    Rg = [r_global_grid[ir] for ir in 1:step_rg:length(r_global_grid)
-                             for _  in 1:step_zg:length(z_global_grid)]
-    Zg = [z_global_grid[iz] for _  in 1:step_rg:length(r_global_grid)
-                             for iz in 1:step_zg:length(z_global_grid)]
-    scatter!(p_ctr_full, Rg, Zg; ms=0.8, color=:grey, alpha=0.25,
-        markerstrokewidth=0, label="global grid")
-
-    step_rz, step_zz = 3, 3
-    Rz = [r_zoom_grid_vis[ir] for ir in 1:step_rz:length(r_zoom_grid_vis)
-                               for _  in 1:step_zz:length(z_zoom_grid_vis)]
-    Zz = [z_zoom_grid_vis[iz] for _  in 1:step_rz:length(r_zoom_grid_vis)
-                               for iz in 1:step_zz:length(z_zoom_grid_vis)]
-    scatter!(p_ctr_full, Rz, Zz; ms=0.8, color=:darkgrey, alpha=0.4,
-        markerstrokewidth=0, label="zoom grid")
-
-    # Core panel: show both grids at full density within the core zoom region
-    scatter!(p_ctr_core, Rg, Zg; ms=1.2, color=:grey, alpha=0.3,
-        markerstrokewidth=0, label="global grid")
-    scatter!(p_ctr_core, Rz, Zz; ms=1.2, color=:darkgrey, alpha=0.5,
-        markerstrokewidth=0, label="zoom grid")
-
-    # X-point panel: global grid only (zoom doesn't extend there)
-    scatter!(p_ctr_xpt, Rg, Zg; ms=1.2, color=:grey, alpha=0.3,
-        markerstrokewidth=0, label="global grid")
-end
+    let
+        step_rg, step_zg = 20, 12
+        Rg = [r_global_grid[ir] for ir in 1:step_rg:length(r_global_grid)
+              for _ in 1:step_zg:length(z_global_grid)]
+        Zg = [z_global_grid[iz] for _ in 1:step_rg:length(r_global_grid)
+              for iz in 1:step_zg:length(z_global_grid)]
+        scatter!(p_ctr_full, Rg, Zg; ms=0.8, color=:grey, alpha=0.25,
+            markerstrokewidth=0, label="global grid")
+
+        step_rz, step_zz = 3, 3
+        Rz = [r_zoom_grid_vis[ir] for ir in 1:step_rz:length(r_zoom_grid_vis)
+              for _ in 1:step_zz:length(z_zoom_grid_vis)]
+        Zz = [z_zoom_grid_vis[iz] for _ in 1:step_rz:length(r_zoom_grid_vis)
+              for iz in 1:step_zz:length(z_zoom_grid_vis)]
+        scatter!(p_ctr_full, Rz, Zz; ms=0.8, color=:darkgrey, alpha=0.4,
+            markerstrokewidth=0, label="zoom grid")
+
+        # Core panel: show both grids at full density within the core zoom region
+        scatter!(p_ctr_core, Rg, Zg; ms=1.2, color=:grey, alpha=0.3,
+            markerstrokewidth=0, label="global grid")
+        scatter!(p_ctr_core, Rz, Zz; ms=1.2, color=:darkgrey, alpha=0.5,
+            markerstrokewidth=0, label="zoom grid")
+
+        # X-point panel: global grid only (zoom doesn't extend there)
+        scatter!(p_ctr_xpt, Rg, Zg; ms=1.2, color=:grey, alpha=0.3,
+            markerstrokewidth=0, label="global grid")
+    end
 end  # !isempty(r_global_grid)
 
 # Set zoom limits for core and x-point panels using the reference method
 Rc, Zc = R_fs[ref_method]
 n_core = 4
-all_R_c = vcat(Rc[1:n_core]...); all_Z_c = vcat(Zc[1:n_core]...)
+all_R_c = vcat(Rc[1:n_core]...);
+all_Z_c = vcat(Zc[1:n_core]...)
 pad = 0.03
 xlims!(p_ctr_core, minimum(all_R_c) - pad, maximum(all_R_c) + pad)
 ylims!(p_ctr_core, minimum(all_Z_c) - pad, maximum(all_Z_c) + pad)
 
 n_outer = length(psi_contours)
-all_R_e = vcat(Rc[(n_outer-2):n_outer]...); all_Z_e = vcat(Zc[(n_outer-2):n_outer]...)
+all_R_e = vcat(Rc[(n_outer-2):n_outer]...);
+all_Z_e = vcat(Zc[(n_outer-2):n_outer]...)
 xpt_idx = argmin(all_Z_e)
 xlims!(p_ctr_xpt, all_R_e[xpt_idx] - 0.20, all_R_e[xpt_idx] + 0.20)
 ylims!(p_ctr_xpt, all_Z_e[xpt_idx] - 0.05, all_Z_e[xpt_idx] + 0.40)
@@ -388,7 +394,7 @@ p_tht_full = plot(; aspect_ratio=:equal, xlabel="R [m]", ylabel="Z [m]",
     title="θ = const lines: all methods  (psihigh=$psihigh_arg)")
 p_tht_core = plot(; aspect_ratio=:equal, xlabel="R [m]", ylabel="Z [m]",
     title="Deep core zoom")
-p_tht_xpt  = plot(; aspect_ratio=:equal, xlabel="R [m]", ylabel="Z [m]",
+p_tht_xpt = plot(; aspect_ratio=:equal, xlabel="R [m]", ylabel="Z [m]",
     title="Far edge / x-point zoom")
 
 for m in all_methods
@@ -402,14 +408,14 @@ for m in all_methods
         Zs = [psi_theta_to_RZ(pe, ψ, θ)[2] for ψ in psi_dense]
         plot!(p_tht_full, Rs, Zs; color=method_color[m], ls=method_style[m], lw=0.9, alpha=0.7, label=lbl)
         plot!(p_tht_core, Rs, Zs; color=method_color[m], ls=method_style[m], lw=1.5, label=lbl)
-        plot!(p_tht_xpt,  Rs, Zs; color=method_color[m], ls=method_style[m], lw=1.5, label=lbl)
+        plot!(p_tht_xpt, Rs, Zs; color=method_color[m], ls=method_style[m], lw=1.5, label=lbl)
     end
     # Grid dots at every (ψ_i, θ_j) intersection — by construction on the lines above
     Rg = [psi_theta_to_RZ(pe, ψ, θ)[1] for ψ in pe.rzphi_xs for θ in θ_sub]
     Zg = [psi_theta_to_RZ(pe, ψ, θ)[2] for ψ in pe.rzphi_xs for θ in θ_sub]
     scatter!(p_tht_full, Rg, Zg; ms=1.5, color=method_color[m], alpha=0.5, markerstrokewidth=0, label="")
     scatter!(p_tht_core, Rg, Zg; ms=2.0, color=method_color[m], alpha=0.6, markerstrokewidth=0, label="")
-    scatter!(p_tht_xpt,  Rg, Zg; ms=2.0, color=method_color[m], alpha=0.6, markerstrokewidth=0, label="")
+    scatter!(p_tht_xpt, Rg, Zg; ms=2.0, color=method_color[m], alpha=0.6, markerstrokewidth=0, label="")
 end
 
 xlims!(p_tht_core, minimum(all_R_c) - pad, maximum(all_R_c) + pad)
@@ -430,16 +436,16 @@ println("3. 2D rzphi Geometric Spline Profiles at Select θ Values")
 println("=" ^ 70)
 
 rzphi_specs = [
-    ("r²=(R-R₀)²+(Z-Z₀)²",  pe -> ((ψ, θ) -> pe.rzphi_rsquared((ψ, θ)))),
+    ("r²=(R-R₀)²+(Z-Z₀)²", pe -> ((ψ, θ) -> pe.rzphi_rsquared((ψ, θ)))),
     ("angle offset  η/2π−θ", pe -> ((ψ, θ) -> pe.rzphi_offset((ψ, θ)))),
-    ("ν  (toroidal shift)",  pe -> ((ψ, θ) -> pe.rzphi_nu((ψ, θ)))),
-    ("Jacobian",             pe -> ((ψ, θ) -> pe.rzphi_jac((ψ, θ)))),
+    ("ν  (toroidal shift)", pe -> ((ψ, θ) -> pe.rzphi_nu((ψ, θ)))),
+    ("Jacobian", pe -> ((ψ, θ) -> pe.rzphi_jac((ψ, θ))))
 ]
 rzphi_fnames = ["rzphi_rsquared", "rzphi_angle_offset", "rzphi_nu", "rzphi_jacobian"]
 
 for (sidx, (sname, fn_getter)) in enumerate(rzphi_specs)
-    fn_ref  = fn_getter(pe_ref)
-    yd_all  = [[fn_ref(ψ, θ) for ψ in psi_full] for θ in theta_select]
+    fn_ref = fn_getter(pe_ref)
+    yd_all = [[fn_ref(ψ, θ) for ψ in psi_full] for θ in theta_select]
 
     p_full = plot(; xlabel="ψ", ylabel=sname, legend=:best, xlims=(0, 1),
         title="$sname — full domain  (psihigh=$psihigh_arg)")
@@ -454,20 +460,25 @@ for (sidx, (sname, fn_getter)) in enumerate(rzphi_specs)
         plot!(p_full, psi_full, yd; color=tc, lw=2, label="efit θ=$(θ)")
         plot!(p_core, psi_full[mask_core], yd[mask_core]; color=tc, lw=2, label="efit θ=$(θ)")
         plot!(p_edge, t_edge_full, yd[mask_edge]; color=tc, lw=2, label="efit θ=$(θ)")
-        xs = pe_ref.rzphi_xs; ys = [fn_ref(ψ, θ) for ψ in xs]
+        xs = pe_ref.rzphi_xs
+        ys = [fn_ref(ψ, θ) for ψ in xs]
         scatter!(p_full, xs, ys; ms=3, markerstrokewidth=0, color=tc, label="")
-        let mask = xs .< 0.10; scatter!(p_core, xs[mask], ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="") end
-        let mask = xs .> 0.98; scatter!(p_edge, -log.(1.0 .- xs[mask]), ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="") end
+        let mask = xs .< 0.10
+            scatter!(p_core, xs[mask], ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="")
+        end
+        let mask = xs .> 0.98
+            scatter!(p_edge, -log.(1.0 .- xs[mask]), ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="")
+        end
     end
 
     println("  $sname:")
     for m in compare_methods_active
-        fn_m   = fn_getter(pes[m])
+        fn_m = fn_getter(pes[m])
         yi_all = [[fn_m(ψ, θ) for ψ in psi_full] for θ in theta_select]
         for (tidx, θ) in enumerate(theta_select)
             tc = theta_colors[tidx]
             yi = yi_all[tidx]
-            Δ  = yd_all[tidx] .- yi
+            Δ = yd_all[tidx] .- yi
             plot!(p_full, psi_full, yi; color=tc, lw=1.2, ls=method_style[m],
                 label="$(method_label[m]) θ=$(θ)")
             plot!(p_core, psi_full[mask_core], yi[mask_core]; color=tc, lw=1.2,
@@ -476,10 +487,15 @@ for (sidx, (sname, fn_getter)) in enumerate(rzphi_specs)
                 ls=method_style[m], label="$(method_label[m]) θ=$(θ)")
             plot!(p_diff, psi_full, Δ; color=tc, lw=1.2, ls=method_style[m],
                 label="(efit−$(method_label[m])) θ=$(θ)")
-            xs = pes[m].rzphi_xs; ys = [fn_m(ψ, θ) for ψ in xs]
+            xs = pes[m].rzphi_xs
+            ys = [fn_m(ψ, θ) for ψ in xs]
             scatter!(p_full, xs, ys; ms=3, markerstrokewidth=0, color=tc, label="")
-            let mask = xs .< 0.10; scatter!(p_core, xs[mask], ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="") end
-            let mask = xs .> 0.98; scatter!(p_edge, -log.(1.0 .- xs[mask]), ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="") end
+            let mask = xs .< 0.10
+                scatter!(p_core, xs[mask], ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="")
+            end
+            let mask = xs .> 0.98
+                scatter!(p_edge, -log.(1.0 .- xs[mask]), ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="")
+            end
 
             Δc = any(mask_core) ? Δ[mask_core] : [0.0]
             Δe = any(mask_edge) ? Δ[mask_edge] : [0.0]
@@ -501,15 +517,15 @@ println("4. Physics (eqfun) Spline Profiles at Select θ Values")
 println("=" ^ 70)
 
 eqfun_specs = [
-    ("|B| (total field [T])",          pe -> ((ψ, θ) -> pe.eqfun_B((ψ, θ)))),
+    ("|B| (total field [T])", pe -> ((ψ, θ) -> pe.eqfun_B((ψ, θ)))),
     ("metric1  (e₁·e₂+q·e₃·e₁)/JB²", pe -> ((ψ, θ) -> pe.eqfun_metric1((ψ, θ)))),
-    ("metric2  (e₂·e₃+q·e₃²)/JB²",   pe -> ((ψ, θ) -> pe.eqfun_metric2((ψ, θ)))),
+    ("metric2  (e₂·e₃+q·e₃²)/JB²", pe -> ((ψ, θ) -> pe.eqfun_metric2((ψ, θ))))
 ]
 eqfun_fnames = ["eqfun_Bmag", "eqfun_metric1", "eqfun_metric2"]
 
 for (eidx, (ename, fn_getter)) in enumerate(eqfun_specs)
-    fn_ref  = fn_getter(pe_ref)
-    yd_all  = [[fn_ref(ψ, θ) for ψ in psi_full] for θ in theta_select]
+    fn_ref = fn_getter(pe_ref)
+    yd_all = [[fn_ref(ψ, θ) for ψ in psi_full] for θ in theta_select]
 
     p_full = plot(; xlabel="ψ", ylabel=ename, legend=:best, xlims=(0, 1),
         title="$ename — full domain  (psihigh=$psihigh_arg)")
@@ -524,20 +540,25 @@ for (eidx, (ename, fn_getter)) in enumerate(eqfun_specs)
         plot!(p_full, psi_full, yd; color=tc, lw=2, label="efit θ=$(θ)")
         plot!(p_core, psi_full[mask_core], yd[mask_core]; color=tc, lw=2, label="efit θ=$(θ)")
         plot!(p_edge, t_edge_full, yd[mask_edge]; color=tc, lw=2, label="efit θ=$(θ)")
-        xs = pe_ref.rzphi_xs; ys = [fn_ref(ψ, θ) for ψ in xs]
+        xs = pe_ref.rzphi_xs
+        ys = [fn_ref(ψ, θ) for ψ in xs]
         scatter!(p_full, xs, ys; ms=3, markerstrokewidth=0, color=tc, label="")
-        let mask = xs .< 0.10; scatter!(p_core, xs[mask], ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="") end
-        let mask = xs .> 0.98; scatter!(p_edge, -log.(1.0 .- xs[mask]), ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="") end
+        let mask = xs .< 0.10
+            scatter!(p_core, xs[mask], ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="")
+        end
+        let mask = xs .> 0.98
+            scatter!(p_edge, -log.(1.0 .- xs[mask]), ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="")
+        end
     end
 
     println("  $ename:")
     for m in compare_methods_active
-        fn_m   = fn_getter(pes[m])
+        fn_m = fn_getter(pes[m])
         yi_all = [[fn_m(ψ, θ) for ψ in psi_full] for θ in theta_select]
         for (tidx, θ) in enumerate(theta_select)
             tc = theta_colors[tidx]
             yi = yi_all[tidx]
-            Δ  = yd_all[tidx] .- yi
+            Δ = yd_all[tidx] .- yi
             plot!(p_full, psi_full, yi; color=tc, lw=1.2, ls=method_style[m],
                 label="$(method_label[m]) θ=$(θ)")
             plot!(p_core, psi_full[mask_core], yi[mask_core]; color=tc, lw=1.2,
@@ -546,10 +567,15 @@ for (eidx, (ename, fn_getter)) in enumerate(eqfun_specs)
                 ls=method_style[m], label="$(method_label[m]) θ=$(θ)")
             plot!(p_diff, psi_full, Δ; color=tc, lw=1.2, ls=method_style[m],
                 label="(efit−$(method_label[m])) θ=$(θ)")
-            xs = pes[m].rzphi_xs; ys = [fn_m(ψ, θ) for ψ in xs]
+            xs = pes[m].rzphi_xs
+            ys = [fn_m(ψ, θ) for ψ in xs]
             scatter!(p_full, xs, ys; ms=3, markerstrokewidth=0, color=tc, label="")
-            let mask = xs .< 0.10; scatter!(p_core, xs[mask], ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="") end
-            let mask = xs .> 0.98; scatter!(p_edge, -log.(1.0 .- xs[mask]), ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="") end
+            let mask = xs .< 0.10
+                scatter!(p_core, xs[mask], ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="")
+            end
+            let mask = xs .> 0.98
+                scatter!(p_edge, -log.(1.0 .- xs[mask]), ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="")
+            end
 
             Δc = any(mask_core) ? Δ[mask_core] : [0.0]
             Δe = any(mask_edge) ? Δ[mask_edge] : [0.0]
@@ -580,13 +606,13 @@ function row_int(label, vals)
     @printf("  %-22s  %s\n", label, join([@sprintf("%18d", v) for v in vals]))
 end
 
-row("ro [m]",       [pes[m].ro    for m in all_methods])
-row("zo [m]",       [pes[m].zo    for m in all_methods])
-row("psio [Wb/rad]",[pes[m].psio  for m in all_methods])
-row("psilow",       [pes[m].rzphi_xs[1]   for m in all_methods])
-row("psihigh",      [pes[m].rzphi_xs[end] for m in all_methods])
-row("q(psilow)",    [pes[m].profiles.q_spline(pes[m].rzphi_xs[1])   for m in all_methods])
-row("q(psihigh)",   [pes[m].profiles.q_spline(pes[m].rzphi_xs[end]) for m in all_methods])
+row("ro [m]", [pes[m].ro for m in all_methods])
+row("zo [m]", [pes[m].zo for m in all_methods])
+row("psio [Wb/rad]", [pes[m].psio for m in all_methods])
+row("psilow", [pes[m].rzphi_xs[1] for m in all_methods])
+row("psihigh", [pes[m].rzphi_xs[end] for m in all_methods])
+row("q(psilow)", [pes[m].profiles.q_spline(pes[m].rzphi_xs[1]) for m in all_methods])
+row("q(psihigh)", [pes[m].profiles.q_spline(pes[m].rzphi_xs[end]) for m in all_methods])
 
 q_profiles = Dict(m => [pes[m].profiles.q_spline(ψ) for ψ in psi_full] for m in all_methods)
 row_int("q non-mono (edge)",
diff --git a/benchmarks/plot_xi_eigenmode.jl b/benchmarks/plot_xi_eigenmode.jl
index 78e26ee82..1d35a834e 100644
--- a/benchmarks/plot_xi_eigenmode.jl
+++ b/benchmarks/plot_xi_eigenmode.jl
@@ -39,7 +39,7 @@ for ip in 1:nstep
     @views mul!(xi[:, ip], u1[:, :, ip], c)
 end
 
-ms = mlow .+ (0:mpert-1)
+ms = mlow .+ (0:(mpert-1))
 peak = [maximum(abs, @view xi[i, :]) for i in 1:mpert]
 order = sortperm(peak; rev=true)       # dominant harmonics first
 
diff --git a/benchmarks/verify_gal_match.jl b/benchmarks/verify_gal_match.jl
index 51dcdd868..28ad6f2c0 100644
--- a/benchmarks/verify_gal_match.jl
+++ b/benchmarks/verify_gal_match.jl
@@ -19,7 +19,12 @@ xi, dxi, cout, cin, deltar, eig, resid, sing_psi = h5open(h5path) do f
 end
 # HDF5 stores ComplexF64 as a compound (re,im); convert if needed
 to_c(a) = eltype(a) <: Complex ? a : map(x -> ComplexF64(x.re, x.im), a)
-xi = to_c(xi); dxi = to_c(dxi); cout = to_c(cout); cin = to_c(cin); deltar = to_c(deltar); eig = to_c(eig)
+xi = to_c(xi);
+dxi = to_c(dxi);
+cout = to_c(cout);
+cin = to_c(cin);
+deltar = to_c(deltar);
+eig = to_c(eig)
 
 mpert, mcoil, ngrid = size(xi)
 msing = size(deltar, 1)
diff --git a/docs/make.jl b/docs/make.jl
index 92b605efc..2a971d4a4 100644
--- a/docs/make.jl
+++ b/docs/make.jl
@@ -40,9 +40,9 @@ makedocs(;
             "Tearing" => "inner_layer.md",
             "Analysis" => "analysis.md",
             "Utilities" => "utilities.md"
-       ],
+        ],
         "Citations" => "citations.md",
-        "Developer Notes" => "developer_notes.md",
+        "Developer Notes" => "developer_notes.md"
     ],
     checkdocs=:exports
 )
diff --git a/docs/src/forcing_terms.md b/docs/src/forcing_terms.md
index ba2f7d752..e88c11596 100644
--- a/docs/src/forcing_terms.md
+++ b/docs/src/forcing_terms.md
@@ -60,7 +60,7 @@ amplitudes directly — no conversion is applied.
 
 Required datasets:
 - `n`: integer array of toroidal mode numbers
-- `m`: integer array of poloidal mode numbers  
+- `m`: integer array of poloidal mode numbers
 - `amplitude_real`: float array of real parts
 - `amplitude_imag`: float array of imaginary parts (optional)
 
diff --git a/examples/DIIID-like_SLAYER_example/gpec.toml b/examples/DIIID-like_SLAYER_example/gpec.toml
index 487d41f9b..d5dfe09c3 100644
--- a/examples/DIIID-like_SLAYER_example/gpec.toml
+++ b/examples/DIIID-like_SLAYER_example/gpec.toml
@@ -86,3 +86,12 @@ Q_re_range = [-2.0, 2.0]       # Scan box in the normalized Q plane, Re(Q) axis
 Q_im_range = [-0.5, 3.0]       # Scan box in the normalized Q plane, Im(Q) axis
 nre        = 41                # Grid resolution along the Re(Q) axis
 nim        = 31                # Grid resolution along the Im(Q) axis
+
+[CriticalResonantField]
+# CriticalResonantField used to find the critical resonant field sufficent for tearing onset at each rational surface.
+enabled = true # Run CriticalResonantField analysis
+inner_model = "slayer_fitzpatrick" # Inner-layer Δ(Q) model: "slayer_fitzpatrick", "ggj_shooting", or "ggj_galerkin"
+Qmin = -10 # Minimum rotation scanned
+Qmax = 10 # Maximum rotation scanned
+n = 200 # Number of rotation points scanned
+profile_file = "../DIIID-like_ideal_example/TkMkr_D3Dlike_Hmode_kinetic.h5" # Kinetic-profile file (relative to the run dir), required when SLAYER is enabled
diff --git a/examples/DIIID-like_ideal_example/analyze_example.jl b/examples/DIIID-like_ideal_example/analyze_example.jl
index 715e3ec76..dae831848 100644
--- a/examples/DIIID-like_ideal_example/analyze_example.jl
+++ b/examples/DIIID-like_ideal_example/analyze_example.jl
@@ -41,7 +41,7 @@ function symmetric_clims(z)
 end
 
 geqdsk_cases = [
-    "TkMkr_D3Dlike_Hmode.geqdsk",
+    "TkMkr_D3Dlike_Hmode.geqdsk"
 ]
 
 base_toml = TOML.parsefile(joinpath(@__DIR__, "gpec.toml"))
diff --git a/examples/DIIID-like_ideal_example_IMAS/run_imas_example.jl b/examples/DIIID-like_ideal_example_IMAS/run_imas_example.jl
index c4fe1637f..0e416e317 100644
--- a/examples/DIIID-like_ideal_example_IMAS/run_imas_example.jl
+++ b/examples/DIIID-like_ideal_example_IMAS/run_imas_example.jl
@@ -57,8 +57,8 @@ try
     config_imas = merge(SHARED_CONFIG, Dict("Equilibrium" =>
         merge(EQ_COMMON, Dict("eq_type" => "imas", "eq_filename" => "from_dd", "imas_cocos" => 11))))
     open(joinpath(tmpdir_imas, "gpec.toml"), "w") do io
-        ;
-        TOML.print(io, config_imas);
+
+        TOML.print(io, config_imas)
     end
     result_imas = GPEC.main([tmpdir_imas]; dd=dd)
     global et_imas = real(result_imas.ffs.free_boundary.et[1])
@@ -76,8 +76,8 @@ try
     config_gfile = merge(SHARED_CONFIG, Dict("Equilibrium" =>
         merge(EQ_COMMON, Dict("eq_type" => "efit", "eq_filename" => GEQDSK))))
     open(joinpath(tmpdir_gfile, "gpec.toml"), "w") do io
-        ;
-        TOML.print(io, config_gfile);
+
+        TOML.print(io, config_gfile)
     end
     result_gfile = GPEC.main([tmpdir_gfile])
     global et_gfile = real(result_gfile.ffs.free_boundary.et[1])
diff --git a/examples/LAR_beta_scan/run_scan.jl b/examples/LAR_beta_scan/run_scan.jl
index 6249ff30d..f6105a2ae 100644
--- a/examples/LAR_beta_scan/run_scan.jl
+++ b/examples/LAR_beta_scan/run_scan.jl
@@ -30,11 +30,11 @@ using Printf
 # is approximately uniform over most of the range and smoothly tightens as
 # the pole is approached, giving an even visual cadence without wasting
 # points on the flat-slope region far from the pole.
-function _warped_grid(x_start::Float64, x_end::Float64, N::Int; p::Float64 = 2.0)
-    return [x_start + (x_end - x_start) * (1 - (1 - i / (N - 1))^p) for i in 0:N-1]
+function _warped_grid(x_start::Float64, x_end::Float64, N::Int; p::Float64=2.0)
+    return [x_start + (x_end - x_start) * (1 - (1 - i / (N - 1))^p) for i in 0:(N-1)]
 end
 
-const PC_FULL = _warped_grid(0.001, 0.1735, 40; p = 2.0)
+const PC_FULL = _warped_grid(0.001, 0.1735, 40; p=2.0)
 
 const PC_TEST = [0.001, 0.10, 0.17]
 
@@ -58,7 +58,9 @@ function run_single(pc::Float64)
         config = deepcopy(GPEC_BASE)
         config["TJ_ANALYTIC_INPUT"]["pc"] = pc
         config["ForceFreeStates"]["HDF5_filename"] = joinpath(run_dir, "gpec.h5")
-        open(joinpath(run_dir, "gpec.toml"), "w") do io; TOML.print(io, config); end
+        open(joinpath(run_dir, "gpec.toml"), "w") do io
+            TOML.print(io, config)
+        end
 
         GeneralizedPerturbedEquilibrium.main([run_dir])
         return extract_results(joinpath(run_dir, "gpec.h5"))
@@ -73,24 +75,32 @@ end
 function extract_results(h5_path::String)
     h5open(h5_path, "r") do f
         fbs = "ForceFreeStates/FreeBoundaryStability"
-        ep = read(f, "$fbs/eigenmode_plasma_energies"); ev = read(f, "$fbs/eigenmode_vacuum_energies"); et = read(f, "$fbs/eigenmode_energies")
+        ep = read(f, "$fbs/eigenmode_plasma_energies")
+        ev = read(f, "$fbs/eigenmode_vacuum_energies")
+        et = read(f, "$fbs/eigenmode_energies")
         msing = read(f, "SingularSurfaces/rational_count")
         m_sing = read(f, "SingularSurfaces/rational_m")
         dp_mat = haskey(f, "SingularSurfaces/Delta_prime_matrix") ? read(f, "SingularSurfaces/Delta_prime_matrix") : nothing
         qlim = haskey(f, "Info/qlim") ? read(f, "Info/qlim") : read(f, "Equilibrium/q_max")
-        q0 = read(f, "Equilibrium/q_axis"); qmax = read(f, "Equilibrium/q_max")
+        q0 = read(f, "Equilibrium/q_axis")
+        qmax = read(f, "Equilibrium/q_max")
 
-        dp_21 = NaN + NaN*im; dp_31 = NaN + NaN*im
+        dp_21 = NaN + NaN*im
+        dp_31 = NaN + NaN*im
         if dp_mat !== nothing && msing > 0
             for s in 1:min(msing, size(dp_mat, 1))
                 m_val = size(m_sing, 1) == msing ? m_sing[s, 1] : m_sing[1, s]
-                if m_val == 2; dp_21 = dp_mat[s, s]; end
-                if m_val == 3; dp_31 = dp_mat[s, s]; end
+                if m_val == 2
+                    dp_21 = dp_mat[s, s]
+                end
+                if m_val == 3
+                    dp_31 = dp_mat[s, s]
+                end
             end
         end
         return (dp_21=dp_21, dp_31=dp_31,
-                dW_plasma=real(ep[1]), dW_vacuum=real(ev[1]), dW_total=real(et[1]),
-                q0=q0, qmax=qmax, qlim=qlim, msing=msing, dp_matrix=dp_mat)
+            dW_plasma=real(ep[1]), dW_vacuum=real(ev[1]), dW_total=real(et[1]),
+            q0=q0, qmax=qmax, qlim=qlim, msing=msing, dp_matrix=dp_mat)
     end
 end
 
@@ -117,11 +127,20 @@ function main()
                 haskey(f, gname) && delete_object(f, gname)
                 g = create_group(f, gname)
                 g["pressure_factor"] = pc
-                g["dp_21_real"] = real(result.dp_21); g["dp_21_imag"] = imag(result.dp_21)
-                g["dp_31_real"] = real(result.dp_31); g["dp_31_imag"] = imag(result.dp_31)
-                g["dW_plasma"] = result.dW_plasma; g["dW_vacuum"] = result.dW_vacuum; g["dW_total"] = result.dW_total
-                g["q0"] = result.q0; g["qmax"] = result.qmax; g["qlim"] = result.qlim; g["msing"] = result.msing
-                if result.dp_matrix !== nothing; g["dp_matrix"] = result.dp_matrix; end
+                g["dp_21_real"] = real(result.dp_21)
+                g["dp_21_imag"] = imag(result.dp_21)
+                g["dp_31_real"] = real(result.dp_31)
+                g["dp_31_imag"] = imag(result.dp_31)
+                g["dW_plasma"] = result.dW_plasma
+                g["dW_vacuum"] = result.dW_vacuum
+                g["dW_total"] = result.dW_total
+                g["q0"] = result.q0
+                g["qmax"] = result.qmax
+                g["qlim"] = result.qlim
+                g["msing"] = result.msing
+                if result.dp_matrix !== nothing
+                    g["dp_matrix"] = result.dp_matrix
+                end
             end
             @printf("  dp21=%+.4f%+.4fi  dp31=%+.4f%+.4fi  dW_t=%+.6f  qa=%.3f\n",
                 real(result.dp_21), imag(result.dp_21), real(result.dp_31), imag(result.dp_31),
diff --git a/examples/LAR_epsilon_scan/run_scan.jl b/examples/LAR_epsilon_scan/run_scan.jl
index e3327ab95..f487332f0 100644
--- a/examples/LAR_epsilon_scan/run_scan.jl
+++ b/examples/LAR_epsilon_scan/run_scan.jl
@@ -30,11 +30,11 @@ using Printf
 # spacing tightens smoothly as the pole is approached — the flat low-ε
 # region is covered with even cadence, and more points land in the final
 # few percent where Δ' rises by orders of magnitude.
-function _warped_grid(x_start::Float64, x_end::Float64, N::Int; p::Float64 = 2.0)
-    return [x_start + (x_end - x_start) * (1 - (1 - i / (N - 1))^p) for i in 0:N-1]
+function _warped_grid(x_start::Float64, x_end::Float64, N::Int; p::Float64=2.0)
+    return [x_start + (x_end - x_start) * (1 - (1 - i / (N - 1))^p) for i in 0:(N-1)]
 end
 
-const EPSILONS_FULL = _warped_grid(0.125, 0.660, 56; p = 2.0)
+const EPSILONS_FULL = _warped_grid(0.125, 0.660, 56; p=2.0)
 
 const EPSILONS_TEST = [0.2495, 0.4072, 0.5510]
 
@@ -65,7 +65,9 @@ function run_single(epsilon::Float64)
         config["TJ_ANALYTIC_INPUT"]["lar_r0"] = GPEC_BASE["TJ_ANALYTIC_INPUT"]["lar_a"] / epsilon
         config["Equilibrium"]["eq_type"] = "tj_analytic_direct"
         config["ForceFreeStates"]["HDF5_filename"] = joinpath(run_dir, "gpec.h5")
-        open(joinpath(run_dir, "gpec.toml"), "w") do io; TOML.print(io, config); end
+        open(joinpath(run_dir, "gpec.toml"), "w") do io
+            TOML.print(io, config)
+        end
 
         GeneralizedPerturbedEquilibrium.main([run_dir])
         return extract_results(joinpath(run_dir, "gpec.h5"))
@@ -80,24 +82,32 @@ end
 function extract_results(h5_path::String)
     h5open(h5_path, "r") do f
         fbs = "ForceFreeStates/FreeBoundaryStability"
-        ep = read(f, "$fbs/eigenmode_plasma_energies"); ev = read(f, "$fbs/eigenmode_vacuum_energies"); et = read(f, "$fbs/eigenmode_energies")
+        ep = read(f, "$fbs/eigenmode_plasma_energies")
+        ev = read(f, "$fbs/eigenmode_vacuum_energies")
+        et = read(f, "$fbs/eigenmode_energies")
         msing = read(f, "SingularSurfaces/rational_count")
         m_sing = read(f, "SingularSurfaces/rational_m")
         dp_mat = haskey(f, "SingularSurfaces/Delta_prime_matrix") ? read(f, "SingularSurfaces/Delta_prime_matrix") : nothing
         qlim = haskey(f, "Info/qlim") ? read(f, "Info/qlim") : read(f, "Equilibrium/q_max")
-        q0 = read(f, "Equilibrium/q_axis"); qmax = read(f, "Equilibrium/q_max")
+        q0 = read(f, "Equilibrium/q_axis")
+        qmax = read(f, "Equilibrium/q_max")
 
-        dp_21 = NaN + NaN*im; dp_31 = NaN + NaN*im
+        dp_21 = NaN + NaN*im
+        dp_31 = NaN + NaN*im
         if dp_mat !== nothing && msing > 0
             for s in 1:min(msing, size(dp_mat, 1))
                 m_val = size(m_sing, 1) == msing ? m_sing[s, 1] : m_sing[1, s]
-                if m_val == 2; dp_21 = dp_mat[s, s]; end
-                if m_val == 3; dp_31 = dp_mat[s, s]; end
+                if m_val == 2
+                    dp_21 = dp_mat[s, s]
+                end
+                if m_val == 3
+                    dp_31 = dp_mat[s, s]
+                end
             end
         end
         return (dp_21=dp_21, dp_31=dp_31,
-                dW_plasma=real(ep[1]), dW_vacuum=real(ev[1]), dW_total=real(et[1]),
-                q0=q0, qmax=qmax, qlim=qlim, msing=msing, dp_matrix=dp_mat)
+            dW_plasma=real(ep[1]), dW_vacuum=real(ev[1]), dW_total=real(et[1]),
+            q0=q0, qmax=qmax, qlim=qlim, msing=msing, dp_matrix=dp_mat)
     end
 end
 
@@ -125,11 +135,20 @@ function main()
                 haskey(f, gname) && delete_object(f, gname)
                 g = create_group(f, gname)
                 g["epsilon"] = eps
-                g["dp_21_real"] = real(result.dp_21); g["dp_21_imag"] = imag(result.dp_21)
-                g["dp_31_real"] = real(result.dp_31); g["dp_31_imag"] = imag(result.dp_31)
-                g["dW_plasma"] = result.dW_plasma; g["dW_vacuum"] = result.dW_vacuum; g["dW_total"] = result.dW_total
-                g["q0"] = result.q0; g["qmax"] = result.qmax; g["qlim"] = result.qlim; g["msing"] = result.msing
-                if result.dp_matrix !== nothing; g["dp_matrix"] = result.dp_matrix; end
+                g["dp_21_real"] = real(result.dp_21)
+                g["dp_21_imag"] = imag(result.dp_21)
+                g["dp_31_real"] = real(result.dp_31)
+                g["dp_31_imag"] = imag(result.dp_31)
+                g["dW_plasma"] = result.dW_plasma
+                g["dW_vacuum"] = result.dW_vacuum
+                g["dW_total"] = result.dW_total
+                g["q0"] = result.q0
+                g["qmax"] = result.qmax
+                g["qlim"] = result.qlim
+                g["msing"] = result.msing
+                if result.dp_matrix !== nothing
+                    g["dp_matrix"] = result.dp_matrix
+                end
             end
             @printf("  dp21=%+.4f%+.4fi  dp31=%+.4f%+.4fi  dW_t=%+.6f  qa=%.3f\n",
                 real(result.dp_21), imag(result.dp_21), real(result.dp_31), imag(result.dp_31),
diff --git a/examples/Solovev_ideal_example/analyze_example.jl b/examples/Solovev_ideal_example/analyze_example.jl
index 4c5a8eb7c..f3d6f0b99 100644
--- a/examples/Solovev_ideal_example/analyze_example.jl
+++ b/examples/Solovev_ideal_example/analyze_example.jl
@@ -9,8 +9,11 @@ h5path = joinpath(@__DIR__, "gpec.h5")
 # Summary plots
 p_eq = Analysis.Equilibrium.plot_equilibrium_summary(h5path)
 p_ffs = Analysis.ForceFreeStates.plot_ffs_summary(h5path)
-p_pe  = Analysis.PerturbedEquilibrium.plot_perturbed_equilibrium_summary(h5path)
+p_pe = Analysis.PerturbedEquilibrium.plot_perturbed_equilibrium_summary(h5path)
 
-display(p_eq);  Plots.savefig(p_eq,  joinpath(@__DIR__, "equilibrium_summary.png"))
-display(p_ffs); Plots.savefig(p_ffs, joinpath(@__DIR__, "ffs_summary.png"))
-display(p_pe);  Plots.savefig(p_pe,  joinpath(@__DIR__, "pe_summary.png"))
\ No newline at end of file
+display(p_eq);
+Plots.savefig(p_eq, joinpath(@__DIR__, "equilibrium_summary.png"))
+display(p_ffs);
+Plots.savefig(p_ffs, joinpath(@__DIR__, "ffs_summary.png"))
+display(p_pe);
+Plots.savefig(p_pe, joinpath(@__DIR__, "pe_summary.png"))
diff --git a/examples/Solovev_ideal_example_multi_n/analyze_example.jl b/examples/Solovev_ideal_example_multi_n/analyze_example.jl
index 3a1e46134..068dd2a0d 100644
--- a/examples/Solovev_ideal_example_multi_n/analyze_example.jl
+++ b/examples/Solovev_ideal_example_multi_n/analyze_example.jl
@@ -9,11 +9,14 @@ h5path = joinpath(@__DIR__, "gpec.h5")
 # Summary plots
 p_eq = Analysis.Equilibrium.plot_equilibrium_summary(h5path)
 p_ffs = Analysis.ForceFreeStates.plot_ffs_summary(h5path)
-p_pe  = Analysis.PerturbedEquilibrium.plot_perturbed_equilibrium_summary(h5path)
+p_pe = Analysis.PerturbedEquilibrium.plot_perturbed_equilibrium_summary(h5path)
 
-display(p_eq);  Plots.savefig(p_eq,  joinpath(@__DIR__, "equilibrium_summary.png"))
-display(p_ffs); Plots.savefig(p_ffs, joinpath(@__DIR__, "ffs_summary.png"))
-display(p_pe);  Plots.savefig(p_pe,  joinpath(@__DIR__, "pe_summary.png"))
+display(p_eq);
+Plots.savefig(p_eq, joinpath(@__DIR__, "equilibrium_summary.png"))
+display(p_ffs);
+Plots.savefig(p_ffs, joinpath(@__DIR__, "ffs_summary.png"))
+display(p_pe);
+Plots.savefig(p_pe, joinpath(@__DIR__, "pe_summary.png"))
 
 # Analyze the single-n runs
 h5path_n1 = joinpath(@__DIR__, "single_n_1", "euler_n1.h5")
@@ -21,5 +24,7 @@ h5path_n2 = joinpath(@__DIR__, "single_n_2", "euler_n2.h5")
 p_n1 = Analysis.ForceFreeStates.plot_ffs_summary(h5path_n1)
 p_n2 = Analysis.ForceFreeStates.plot_ffs_summary(h5path_n2)
 
-display(p_n1); Plots.savefig(p_n1, joinpath(@__DIR__, "single_n_1", "ffs_summary.png"))
-display(p_n2); Plots.savefig(p_n2, joinpath(@__DIR__, "single_n_2", "ffs_summary.png"))
+display(p_n1);
+Plots.savefig(p_n1, joinpath(@__DIR__, "single_n_1", "ffs_summary.png"))
+display(p_n2);
+Plots.savefig(p_n2, joinpath(@__DIR__, "single_n_2", "ffs_summary.png"))
diff --git a/regression-harness/src/database.jl b/regression-harness/src/database.jl
index c9a06b303..c7f043bc2 100644
--- a/regression-harness/src/database.jl
+++ b/regression-harness/src/database.jl
@@ -50,7 +50,9 @@ added by a later schema migration (NULL on every pre-existing row) need both cas
 """
 _column(x, default) = (x === nothing || x === missing) ? default : x
 
-"""Materialize SQLite query results as a Vector of NamedTuples."""
+"""
+Materialize SQLite query results as a Vector of NamedTuples.
+"""
 function query_rows(db::SQLite.DB, sql::String, params=())
     result = DBInterface.execute(db, sql, params)
     ct = Tables.columntable(result)
@@ -70,7 +72,9 @@ const ENV_COLUMNS = [
     ("pinned", "INTEGER")
 ]
 
-"""Add any `runs` columns missing from a database created by an earlier harness version."""
+"""
+Add any `runs` columns missing from a database created by an earlier harness version.
+"""
 function migrate_schema!(db::SQLite.DB)
     existing = Set(String[])
     for row in query_rows(db, "PRAGMA table_info(runs)")
@@ -107,10 +111,10 @@ environment. Rows predating fingerprinting hold NULL and therefore never match 
 entries most likely to be misleading are exactly the ones that get re-run.
 """
 function is_cached(db::SQLite.DB, commit_hash::String, case_name::String;
-                   expected_key::Union{String,Nothing}=nothing)::Bool
+    expected_key::Union{String,Nothing}=nothing)::Bool
     if expected_key === nothing
         rows = query_rows(db, "SELECT id FROM runs WHERE commit_hash = ? AND case_name = ? AND success = 1",
-                          (commit_hash, case_name))
+            (commit_hash, case_name))
         return !isempty(rows)
     end
     rows = query_rows(db,
@@ -125,7 +129,7 @@ fingerprinting. Used to explain *why* a cached result was rejected.
 """
 function cached_env_key(db::SQLite.DB, commit_hash::String, case_name::String)::Union{String,Nothing}
     rows = query_rows(db, "SELECT env_key FROM runs WHERE commit_hash = ? AND case_name = ?",
-                      (commit_hash, case_name))
+        (commit_hash, case_name))
     isempty(rows) && return nothing
     key = _column(first(rows).env_key, nothing)
     key === nothing && return nothing
@@ -135,15 +139,15 @@ end
 function delete_cached(db::SQLite.DB, commit_hash::String, case_name::String)
     # ON DELETE CASCADE handles quantities cleanup automatically
     DBInterface.execute(db, "DELETE FROM runs WHERE commit_hash = ? AND case_name = ?",
-                        (commit_hash, case_name))
+        (commit_hash, case_name))
 end
 
 function store_run(db::SQLite.DB, commit_hash::AbstractString, commit_short::AbstractString,
-                   commit_date::AbstractString, commit_msg::AbstractString,
-                   case_name::AbstractString, runtime_s::Float64,
-                   extracted::Vector{ExtractedQuantity};
-                   success::Bool=true, error_msg::AbstractString="",
-                   fingerprint::EnvFingerprint=UNKNOWN_ENV)
+    commit_date::AbstractString, commit_msg::AbstractString,
+    case_name::AbstractString, runtime_s::Float64,
+    extracted::Vector{ExtractedQuantity};
+    success::Bool=true, error_msg::AbstractString="",
+    fingerprint::EnvFingerprint=UNKNOWN_ENV)
     ran_at = Dates.format(Dates.now(), "yyyy-mm-ddTHH:MM:SS")
 
     SQLite.transaction(db) do
@@ -155,10 +159,10 @@ function store_run(db::SQLite.DB, commit_hash::AbstractString, commit_short::Abs
                 env_key, julia_version, os_arch, manifest_sha, nthreads, blas_threads, pinned)
                VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
             (String(commit_hash), String(commit_short), String(commit_date), String(commit_msg),
-             String(case_name), ran_at, runtime_s, success ? 1 : 0, String(error_msg),
-             env_key(fingerprint), fingerprint.julia_version, fingerprint.os_arch,
-             fingerprint.manifest_sha, fingerprint.nthreads, fingerprint.blas_threads,
-             fingerprint.pinned ? 1 : 0))
+                String(case_name), ran_at, runtime_s, success ? 1 : 0, String(error_msg),
+                env_key(fingerprint), fingerprint.julia_version, fingerprint.os_arch,
+                fingerprint.manifest_sha, fingerprint.nthreads, fingerprint.blas_threads,
+                fingerprint.pinned ? 1 : 0))
 
         run_id = SQLite.last_insert_rowid(db)
 
@@ -168,14 +172,14 @@ function store_run(db::SQLite.DB, commit_hash::AbstractString, commit_short::Abs
                    (run_id, qty_name, qty_label, value_real, value_int, value_text, value_type, noise_threshold)
                    VALUES (?, ?, ?, ?, ?, ?, ?, ?)""",
                 (run_id, eq.name, eq.label, eq.value_real, eq.value_int, eq.value_text,
-                 eq.value_type, eq.noise_threshold))
+                    eq.value_type, eq.noise_threshold))
         end
     end
 end
 
 function store_failed_run(db::SQLite.DB, commit_hash::AbstractString, commit_short::AbstractString,
-                          commit_date::AbstractString, commit_msg::AbstractString,
-                          case_name::AbstractString, error_msg::AbstractString)
+    commit_date::AbstractString, commit_msg::AbstractString,
+    case_name::AbstractString, error_msg::AbstractString)
     ran_at = Dates.format(Dates.now(), "yyyy-mm-ddTHH:MM:SS")
     delete_cached(db, String(commit_hash), String(case_name))
     DBInterface.execute(db,
@@ -183,14 +187,14 @@ function store_failed_run(db::SQLite.DB, commit_hash::AbstractString, commit_sho
            (commit_hash, commit_short, commit_date, commit_msg, case_name, ran_at, runtime_s, success, error_msg)
            VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)""",
         (String(commit_hash), String(commit_short), String(commit_date), String(commit_msg),
-         String(case_name), ran_at, 0.0, 0, String(error_msg)))
+            String(case_name), ran_at, 0.0, 0, String(error_msg)))
 end
 
 """
 Get all quantities for a (commit, case) pair. Returns Dict{qty_name => NamedTuple}.
 """
 function get_quantities(db::SQLite.DB, commit_hash::String, case_name::String)
-    results = Dict{String, NamedTuple}()
+    results = Dict{String,NamedTuple}()
     rows = query_rows(db,
         """SELECT q.qty_name, q.qty_label, q.value_real, q.value_int, q.value_text,
                   q.value_type, q.noise_threshold
@@ -202,12 +206,12 @@ function get_quantities(db::SQLite.DB, commit_hash::String, case_name::String)
     for row in rows
         name = something(row.qty_name, "")
         results[name] = (
-            label = something(row.qty_label, name),
-            value_real = row.value_real,
-            value_int = row.value_int,
-            value_text = row.value_text,
-            value_type = something(row.value_type, "missing"),
-            noise_threshold = something(row.noise_threshold, 0.0),
+            label=something(row.qty_label, name),
+            value_real=row.value_real,
+            value_int=row.value_int,
+            value_text=row.value_text,
+            value_type=something(row.value_type, "missing"),
+            noise_threshold=something(row.noise_threshold, 0.0)
         )
     end
     return results
@@ -233,13 +237,13 @@ function get_run_info(db::SQLite.DB, commit_hash::String, case_name::String)
         _column(row.pinned, 0) == 1
     )
     return (
-        commit_short = something(row.commit_short, ""),
-        commit_date = something(row.commit_date, ""),
-        commit_msg = something(row.commit_msg, ""),
-        runtime_s = something(row.runtime_s, 0.0),
-        success = coalesce(row.success, 0) == 1,
-        error_msg = something(row.error_msg, ""),
-        fingerprint = fingerprint,
+        commit_short=something(row.commit_short, ""),
+        commit_date=something(row.commit_date, ""),
+        commit_msg=something(row.commit_msg, ""),
+        runtime_s=something(row.runtime_s, 0.0),
+        success=coalesce(row.success, 0) == 1,
+        error_msg=something(row.error_msg, ""),
+        fingerprint=fingerprint
     )
 end
 
diff --git a/regression-harness/src/env.jl b/regression-harness/src/env.jl
index 20718c4cb..a7db6d339 100644
--- a/regression-harness/src/env.jl
+++ b/regression-harness/src/env.jl
@@ -49,7 +49,9 @@ end
 
 env_key(fp::EnvFingerprint) = env_key(fp.julia_version, fp.os_arch, fp.pinned ? fp.manifest_sha : "unpinned")
 
-"""SHA-256 of a file, or "" when it does not exist."""
+"""
+SHA-256 of a file, or "" when it does not exist.
+"""
 function file_sha256(path::AbstractString)::String
     isfile(path) || return ""
     return bytes2hex(SHA.sha256(read(path)))
@@ -108,7 +110,9 @@ function read_runinfo(path::String, pinned::Bool)
     return (something(runtime_s, NaN), fp)
 end
 
-"""One-line human-readable summary of an environment, for report headers."""
+"""
+One-line human-readable summary of an environment, for report headers.
+"""
 function describe_env(fp::EnvFingerprint)::String
     isempty(fp.julia_version) && return "environment unknown (cached before fingerprinting)"
     mani = isempty(fp.manifest_sha) ? "no Manifest" : "manifest " * fp.manifest_sha[1:min(8, end)]
diff --git a/regression-harness/src/reporter.jl b/regression-harness/src/reporter.jl
index 4fdecfbe3..2fef2b990 100644
--- a/regression-harness/src/reporter.jl
+++ b/regression-harness/src/reporter.jl
@@ -233,7 +233,7 @@ function report_two_ref_comparison(db::SQLite.DB, case_spec::CaseSpec,
     println("Summary: ", join(parts, ", "))
     println()
     return (n_ok=n_ok, n_changed=n_changed, n_missing=n_missing,
-            n_failed=count(identity, (failed1, failed2)))
+        n_failed=count(identity, (failed1, failed2)))
 end
 
 """
@@ -366,7 +366,7 @@ function report_multi_ref(db::SQLite.DB, case_spec::CaseSpec,
         end
     end
     if length(refs) >= 2
-        last_two = filter(!isnothing, run_infos[(end - 1):end])
+        last_two = filter(!isnothing, run_infos[(end-1):end])
         length(last_two) == 2 && _warn_env_difference(last_two[1].fingerprint, last_two[2].fingerprint)
     end
     println("-"^total_w)
@@ -387,7 +387,7 @@ function report_multi_ref(db::SQLite.DB, case_spec::CaseSpec,
     end
     println()
     return (n_ok=n_ok, n_changed=n_changed, n_missing=n_missing,
-            n_failed=count(identity, failed_mask))
+        n_failed=count(identity, failed_mask))
 end
 
 """
diff --git a/regression-harness/src/types.jl b/regression-harness/src/types.jl
index 05c7159ce..bfce92ed7 100644
--- a/regression-harness/src/types.jl
+++ b/regression-harness/src/types.jl
@@ -19,10 +19,11 @@ end
 Specification for a test case: what to run and what to extract.
 
 `kind` selects the runner backend:
+
   - "gpec_run"  (default) — run GPEC end-to-end on `example_dir`, extract from `gpec.h5`
   - "computed"  — run a self-contained Julia computation that writes a small h5
-                  (no `example_dir` required); used for analytic/reference cases
-                  like the GGJ inner-layer benchmark.
+    (no `example_dir` required); used for analytic/reference cases
+    like the GGJ inner-layer benchmark.
 """
 struct CaseSpec
     name::String
diff --git a/regression-harness/src/utils.jl b/regression-harness/src/utils.jl
index 01afbd40a..d1110f8ef 100644
--- a/regression-harness/src/utils.jl
+++ b/regression-harness/src/utils.jl
@@ -130,7 +130,7 @@ newest. Without it, two refs are compared across two different package sets and
 differences surface as physics regressions.
 """
 function create_worktree(commit_hash::String, repo_root::String;
-                         pin_manifest_from::Union{String,Nothing}=nothing)::String
+    pin_manifest_from::Union{String,Nothing}=nothing)::String
     short = commit_hash[1:min(8, length(commit_hash))]
     worktree_path = tempname() * "_gpec_$(short)"
     try
diff --git a/src/Analysis/Equilibrium.jl b/src/Analysis/Equilibrium.jl
index 6dbfede40..51b10f851 100644
--- a/src/Analysis/Equilibrium.jl
+++ b/src/Analysis/Equilibrium.jl
@@ -219,7 +219,7 @@ function plot_flux_surfaces(h5path; n_psi=11, n_theta=18, save_path=nothing)
     for s in 1:msing
         idx = argmin(abs.(xs_rz .- psi_sing[s]))
         q_label = abs(q_sing[s] - round(q_sing[s])) < 0.05 ?
-            "q=$(round(Int, q_sing[s]))" : "q=$(round(q_sing[s], digits=2))"
+                  "q=$(round(Int, q_sing[s]))" : "q=$(round(q_sing[s], digits=2))"
         plot!(p, [R_grid[idx, :]; R_grid[idx, 1]], [Z_grid[idx, :]; Z_grid[idx, 1]];
             color=:red, linewidth=1.5,
             label=s == 1 ? "Rational surface" : "")
@@ -368,23 +368,26 @@ function plot_equilibrium_summary(h5path; save_path=nothing)
 
     title_str = "q0=$(round(q0,digits=2))  q95=$(round(q95,digits=2))  βₜ=$(round(betat,digits=3))  βₙ=$(round(betan,digits=3))  κ=$(round(kappa,digits=2))  li1=$(round(li1,digits=3))"
 
-    p_rz   = plot_flux_surfaces(h5path)
-    p_q    = plot_qprofile(h5path; show_singular=true)
+    p_rz = plot_flux_surfaces(h5path)
+    p_q = plot_qprofile(h5path; show_singular=true)
     p_pres = plot_pressure_profile(h5path)
-    p_f    = plot_f_profile(h5path)
-    p_gse  = plot_gse_by_theta(h5path)  # includes integrated overplot; nothing if absent
+    p_f = plot_f_profile(h5path)
+    p_gse = plot_gse_by_theta(h5path)  # includes integrated overplot; nothing if absent
 
     # Suppress x-axis labels/ticks on all but the bottom profile panel — they share the
     # same ψ_N axis and labeling every panel wastes vertical space.
     hide_xaxis!(p) = plot!(p; xlabel="", xformatter=_->"", bottom_margin=1Plots.mm)
 
     if isnothing(p_gse)
-        hide_xaxis!(p_q); hide_xaxis!(p_pres)
+        hide_xaxis!(p_q)
+        hide_xaxis!(p_pres)
         l = @layout [a{0.38w} [b; c; d]]
         p = plot(p_rz, p_q, p_pres, p_f; layout=l, size=(1300, 750),
             plot_title=title_str, plot_titlefontsize=10, top_margin=8Plots.mm)
     else
-        hide_xaxis!(p_q); hide_xaxis!(p_pres); hide_xaxis!(p_f)
+        hide_xaxis!(p_q)
+        hide_xaxis!(p_pres)
+        hide_xaxis!(p_f)
         l = @layout [a{0.38w} [b; c; d; e]]
         p = plot(p_rz, p_q, p_pres, p_f, p_gse; layout=l, size=(1300, 1000),
             plot_title=title_str, plot_titlefontsize=10, top_margin=8Plots.mm)
diff --git a/src/Analysis/PerturbedEquilibrium.jl b/src/Analysis/PerturbedEquilibrium.jl
index 33f8bdc0f..7c1ea2d92 100644
--- a/src/Analysis/PerturbedEquilibrium.jl
+++ b/src/Analysis/PerturbedEquilibrium.jl
@@ -45,10 +45,10 @@ function plot_resonant_area_weighted_field_amplitude(h5path; save_path=nothing)
         return plot(; title="No resonant area-weighted field data — run with perturbed equilibrium enabled", legend=false)
 
     resonant_area_weighted_field, rational_psi, rational_q, rational_n = h5open(h5path, "r") do fid
-        read(fid[base * "resonant_area_weighted_field"]),
-        read(fid[base * "rational_psi"]),
-        read(fid[base * "rational_q"]),
-        read(fid[base * "rational_n"])
+        read(fid[base*"resonant_area_weighted_field"]),
+        read(fid[base*"rational_psi"]),
+        read(fid[base*"rational_q"]),
+        read(fid[base*"rational_n"])
     end
 
     p = plot(; xlabel="Norm. Poloidal Flux", ylabel="|b^r| [T]",
@@ -96,9 +96,9 @@ function plot_island_widths(h5path; save_path=nothing)
         return plot(; title="No island width data — run with perturbed equilibrium enabled", legend=false)
 
     island_hw, rational_psi, rational_q = h5open(h5path, "r") do fid
-        read(fid[base * "island_half_width"]),
-        read(fid[base * "rational_psi"]),
-        read(fid[base * "rational_q"])
+        read(fid[base*"island_half_width"]),
+        read(fid[base*"rational_psi"]),
+        read(fid[base*"rational_q"])
     end
 
     p = scatter(
@@ -150,9 +150,9 @@ function plot_chirikov_parameter(h5path; save_path=nothing)
         return plot(; title="No Chirikov data — run with perturbed equilibrium enabled", legend=false)
 
     chirikov, rational_psi, rational_q = h5open(h5path, "r") do fid
-        read(fid[base * "chirikov_parameter"]),
-        read(fid[base * "rational_psi"]),
-        read(fid[base * "rational_q"])
+        read(fid[base*"chirikov_parameter"]),
+        read(fid[base*"rational_psi"]),
+        read(fid[base*"rational_q"])
     end
 
     colors = [k > 1.0 ? :red : :steelblue for k in chirikov]
@@ -212,10 +212,10 @@ function plot_driven_delta_prime(h5path; save_path=nothing)
         return plot(; title="No PE Δ' data — run with perturbed equilibrium enabled", legend=false)
 
     delta_prime, rational_psi, rational_q, rational_n = h5open(h5path, "r") do fid
-        read(fid[base * "Delta_prime"]),
-        read(fid[base * "rational_psi"]),
-        read(fid[base * "rational_q"]),
-        read(fid[base * "rational_n"])
+        read(fid[base*"Delta_prime"]),
+        read(fid[base*"rational_psi"]),
+        read(fid[base*"rational_q"]),
+        read(fid[base*"rational_n"])
     end
 
     p = plot(; xlabel="Norm. Poloidal Flux", ylabel="Re(Δ')",
@@ -298,10 +298,10 @@ function _plot_resonant_current(h5path)
         return plot(; title="No resonant current data", legend=false)
 
     resonant_current, rational_psi, rational_q, rational_n = h5open(h5path, "r") do fid
-        read(fid[base * "resonant_current"]),
-        read(fid[base * "rational_psi"]),
-        read(fid[base * "rational_q"]),
-        read(fid[base * "rational_n"])
+        read(fid[base*"resonant_current"]),
+        read(fid[base*"rational_psi"]),
+        read(fid[base*"rational_q"]),
+        read(fid[base*"rational_n"])
     end
 
     p = plot(; xlabel="Norm. Poloidal Flux", ylabel="|I_res|",
@@ -352,10 +352,10 @@ A `Plots.jl` plot object.
 """
 function plot_mode_spectrogram(h5path; component=:xi_psi, save_path=nothing)
     comp_map = Dict(
-        :xi_psi  => "xi_psi",
-        :b_psi   => "b_psi_area_weighted",  # area-normalized b^ψ
+        :xi_psi => "xi_psi",
+        :b_psi => "b_psi_area_weighted",  # area-normalized b^ψ
         :b_theta => "b_theta",
-        :b_zeta  => "b_zeta",
+        :b_zeta => "b_zeta"
     )
     haskey(comp_map, component) ||
         error("component must be one of :xi_psi, :b_psi, :b_theta, :b_zeta")
@@ -439,9 +439,9 @@ Three-panel composite summary of perturbed equilibrium results:
 A `Plots.jl` plot object.
 """
 function plot_perturbed_equilibrium_summary(h5path; save_path=nothing)
-    p_islands  = plot_resonant_area_weighted_field_amplitude(h5path)
-    p_bpsi     = _plot_bpsi_edge_spectrum(h5path)
-    p_spectro  = plot_mode_spectrogram(h5path; component=:xi_psi)
+    p_islands = plot_resonant_area_weighted_field_amplitude(h5path)
+    p_bpsi = _plot_bpsi_edge_spectrum(h5path)
+    p_spectro = plot_mode_spectrogram(h5path; component=:xi_psi)
 
     l = @layout [grid(1, 2){0.35h}; b]
     p = plot(p_islands, p_bpsi, p_spectro; layout=l, size=(1100, 1100))
@@ -457,11 +457,11 @@ function _plot_bpsi_edge_spectrum(h5path)
         return plot(; title="No b_psi data — run with perturbed equilibrium enabled", legend=false)
 
     data, mlow, mhigh = h5open(h5path, "r") do fid
-        read(fid[base * "b_psi_area_weighted"]),
+        read(fid[base*"b_psi_area_weighted"]),
         read(fid["Info/mlow"]), read(fid["Info/mhigh"])
     end
 
-    mpert  = mhigh - mlow + 1
+    mpert = mhigh - mlow + 1
     m_vals = mlow:mhigh
     bpsi_edge = abs.(data[end, 1:mpert])
 
diff --git a/src/Analysis/PerturbedEquilibriumModes.jl b/src/Analysis/PerturbedEquilibriumModes.jl
index 58aacdaf9..b63ac97e2 100644
--- a/src/Analysis/PerturbedEquilibriumModes.jl
+++ b/src/Analysis/PerturbedEquilibriumModes.jl
@@ -20,33 +20,37 @@ Reads all required metadata (mlow, nlow, mpert, npert) and spline data (ν) from
 the HDF5 file.
 
 # Arguments
-- `h5_file::String`: Path to gpec.h5 output file
-- `variable::String`: HDF5 dataset path, e.g. `"PerturbedEquilibrium/Response/xi_R"`
+
+  - `h5_file::String`: Path to gpec.h5 output file
+  - `variable::String`: HDF5 dataset path, e.g. `"PerturbedEquilibrium/Response/xi_R"`
 
 # Keyword arguments
-- `mtheta::Int`: theta grid resolution (default: `max(2*(|mlow|+mpert), 512)`)
-- `keep_sfl_phi::Bool`: if `true` (default), output in SFL toroidal angle;
-  if `false`, apply `exp(i*n*ν(ψ,θ))` to convert to machine toroidal angle
-  and conjugate if `helicity > 0` (matches Fortran `gpout_xbrzphifun`)
+
+  - `mtheta::Int`: theta grid resolution (default: `max(2*(|mlow|+mpert), 512)`)
+  - `keep_sfl_phi::Bool`: if `true` (default), output in SFL toroidal angle;
+    if `false`, apply `exp(i*n*ν(ψ,θ))` to convert to machine toroidal angle
+    and conjugate if `helicity > 0` (matches Fortran `gpout_xbrzphifun`)
 
 # Returns
-- `theta_data::Array{ComplexF64,3}`: `[npsi × mtheta × npert]`
-- `theta_grid::Vector{Float64}`: `[mtheta]` SFL theta ∈ [0, 1)
-- `n_vals::Vector{Int}`: `[npert]` toroidal mode numbers
+
+  - `theta_data::Array{ComplexF64,3}`: `[npsi × mtheta × npert]`
+  - `theta_grid::Vector{Float64}`: `[mtheta]` SFL theta ∈ [0, 1)
+  - `n_vals::Vector{Int}`: `[npert]` toroidal mode numbers
 
 !!! note
+
     When used on the cylindrical components `xi_R`, `xi_Z`, `xi_phi`, `b_R`, `b_Z`,
     `b_phi` these are currently in beta and show up to ~20% discrepancies vs Fortran.
 """
 function modes_to_theta(h5_file::String, variable::String;
-                        mtheta::Union{Int,Nothing}=nothing,
-                        keep_sfl_phi::Bool=true)
+    mtheta::Union{Int,Nothing}=nothing,
+    keep_sfl_phi::Bool=true)
     h5open(h5_file, "r") do f
         modes = read(f, variable)  # (npsi, numpert_total)
         npsi, numpert_total = size(modes)
 
-        mlow  = read(f, "Info/mlow")
-        nlow  = read(f, "Info/nlow")
+        mlow = read(f, "Info/mlow")
+        nlow = read(f, "Info/nlow")
         mpert = read(f, "Info/mpert")
         npert = read(f, "Info/npert")
         @assert numpert_total == mpert * npert "Expected numpert_total=$(mpert*npert), got $numpert_total"
@@ -58,7 +62,7 @@ function modes_to_theta(h5_file::String, variable::String;
 
         theta_data = zeros(ComplexF64, npsi, mth, npert)
         for k in 1:npert
-            col_range = (k-1)*mpert+1 : k*mpert
+            col_range = ((k-1)*mpert+1):(k*mpert)
             for ipsi in 1:npsi
                 theta_data[ipsi, :, k] .= inverse(ft, view(modes, ipsi, col_range))
             end
@@ -68,7 +72,7 @@ function modes_to_theta(h5_file::String, variable::String;
             # Reconstruct ν spline from stored grid + nodal values (FastInterpolations v0.4 API)
             rzphi_xs = read(f, "Equilibrium/Geometry/psi")
             rzphi_ys = read(f, "Equilibrium/Geometry/theta")
-            nu_vals  = read(f, "Equilibrium/Geometry/nu")
+            nu_vals = read(f, "Equilibrium/Geometry/nu")
             nu_spline = cubic_interp(
                 (rzphi_xs, rzphi_ys), nu_vals;
                 bc=(CubicFit(), PeriodicBC()),
@@ -77,8 +81,8 @@ function modes_to_theta(h5_file::String, variable::String;
 
             psi_grid = read(f, "ForceFreeStates/Solutions/ForwardIntegration/psi")
 
-            bt_sign  = haskey(f, "Equilibrium/B_T_sign") ? read(f, "Equilibrium/B_T_sign") : 1
-            crnt     = haskey(f, "Equilibrium/I_p")     ? read(f, "Equilibrium/I_p")    : 1.0
+            bt_sign = haskey(f, "Equilibrium/B_T_sign") ? read(f, "Equilibrium/B_T_sign") : 1
+            crnt = haskey(f, "Equilibrium/I_p") ? read(f, "Equilibrium/I_p") : 1.0
             helicity = bt_sign * Int(sign(crnt))
 
             hint = (Ref(1), Ref(1))
@@ -110,18 +114,21 @@ Extend theta-space data to a `(θ, φ)` grid via toroidal inverse DFT.
     f(θ, φ) = Σₙ fₙ(θ) exp(i·n·φ)
 
 # Arguments
-- `theta_data::Array{ComplexF64,3}`: `[npsi × mtheta × npert]` from `modes_to_theta`
-- `n_vals::Vector{Int}`: toroidal mode numbers
+
+  - `theta_data::Array{ComplexF64,3}`: `[npsi × mtheta × npert]` from `modes_to_theta`
+  - `n_vals::Vector{Int}`: toroidal mode numbers
 
 # Keyword arguments
-- `nphi::Int`: toroidal grid points (default: `max(4*maximum(abs.(n_vals)), 64)`)
+
+  - `nphi::Int`: toroidal grid points (default: `max(4*maximum(abs.(n_vals)), 64)`)
 
 # Returns
-- `full_data::Array{ComplexF64,3}`: `[npsi × mtheta × nphi]`
-- `phi_grid::Vector{Float64}`: `[nphi]` in radians ∈ [0, 2π)
+
+  - `full_data::Array{ComplexF64,3}`: `[npsi × mtheta × nphi]`
+  - `phi_grid::Vector{Float64}`: `[nphi]` in radians ∈ [0, 2π)
 """
 function theta_to_thetaphi(theta_data::Array{ComplexF64,3}, n_vals::Vector{Int};
-                           nphi::Union{Int,Nothing}=nothing)
+    nphi::Union{Int,Nothing}=nothing)
     npsi, mth, npert = size(theta_data)
     np = isnothing(nphi) ? max(4 * maximum(abs.(n_vals)), 64) : nphi
     phi_grid = [(j - 1) * 2π / np for j in 1:np]
diff --git a/src/Equilibrium/AnalyticEquilibrium.jl b/src/Equilibrium/AnalyticEquilibrium.jl
index 72a16a05c..7ed653867 100644
--- a/src/Equilibrium/AnalyticEquilibrium.jl
+++ b/src/Equilibrium/AnalyticEquilibrium.jl
@@ -243,7 +243,7 @@ function tj_analytic_f1(x::Float64, nu::Float64, qc::Float64)
     if x < 0.1
         x2 = x * x
         return x2 * (1 - (nu-1)*x2/2 + (nu-1)*(nu-2)*x2*x2/6 -
-                      (nu-1)*(nu-2)*(nu-3)*x2*x2*x2/24) / qc
+                     (nu-1)*(nu-2)*(nu-3)*x2*x2*x2/24) / qc
     else
         return (1 - (1 - x*x)^nu) / (nu * qc)
     end
@@ -259,10 +259,10 @@ parameterization.
 function tj_analytic_f1p(x::Float64, nu::Float64, qc::Float64)
     if x < 0.1
         x2 = x * x
-        return 2*x * (1 - (nu-1)*x2 + (nu-1)*(nu-2)*x2*x2/2 -
-                       (nu-1)*(nu-2)*(nu-3)*x2*x2*x2/6) / qc
+        return 2 * x * (1 - (nu-1)*x2 + (nu-1)*(nu-2)*x2*x2/2 -
+                        (nu-1)*(nu-2)*(nu-3)*x2*x2*x2/6) / qc
     else
-        return 2*x * (1 - x*x)^(nu-1) / qc
+        return 2 * x * (1 - x*x)^(nu-1) / qc
     end
 end
 
@@ -273,10 +273,11 @@ GPEC adaptation of the analytic shape ODE used in R. Fitzpatrick's TJ code
 `tj_analytic_run_direct` call so both pipelines share identical numerics.
 
 Fields:
+
   - physical: a, R0, qc, mu, pc, B0
   - derived:  epsa2 = (a/R0)²
   - near-axis BC constants: rmin, x0 = rmin, r0 = rmin·a, f1c = 1/qc,
-                             p2ppc = d²p₂/dx²|_0 = −2·μ·pc
+    p2ppc = d²p₂/dx²|_0 = −2·μ·pc
 """
 struct TJAnalyticShapeParams
     a::Float64
@@ -293,15 +294,15 @@ struct TJAnalyticShapeParams
     p2ppc::Float64
 end
 
-function TJAnalyticShapeParams(tj::TJAnalyticConfig; rmin::Float64 = 1e-4)
+function TJAnalyticShapeParams(tj::TJAnalyticConfig; rmin::Float64=1e-4)
     a, R0 = tj.lar_a, tj.lar_r0
-    mu    = max(tj.mu, 1.001)
+    mu = max(tj.mu, 1.001)
     return TJAnalyticShapeParams(
         a, R0, tj.qc, mu, tj.pc, tj.B0,
         (a / R0)^2,
         rmin, rmin, rmin * a,
         1.0 / tj.qc,
-        -2.0 * mu * tj.pc,
+        -2.0 * mu * tj.pc
     )
 end
 
@@ -315,9 +316,9 @@ The params argument carries TJAnalyticShapeParams fields plus the current `nu`.
 """
 function tj_analytic_shape_rhs!(dy, y, params, r)
     (; a, B0, qc, mu, pc, epsa2, nu) = params
-    x    = r / a
+    x = r / a
     xfac = max(1 - x^2, 0.0)
-    f1   = tj_analytic_f1(x, nu, qc)
+    f1 = tj_analytic_f1(x, nu, qc)
     f1px = tj_analytic_f1p(x, nu, qc)
     p2px = -2 * mu * pc * x * xfac^(mu - 1)
 
@@ -340,16 +341,19 @@ function tj_analytic_shape_rhs!(dy, y, params, r)
     # f₃'(x) for Hₙ = Vₙ = 0 (n ≥ 2 harmonics rescaled to zero, as in the
     # TJ-analytic benchmark configuration of Fitzpatrick's TJ code).
     g2, f3 = y[2], y[5]
-    f3p_x = -f3 * f1px / f1 -
-             f1 * (3 * x^2 / 2 - 2 * x * H1p + H1p^2) / x +
-             f1px * (g2 - 3 * x^2 / 4 + H1 + 3 * H1p^2 / 2) +
-             x^2 * p2px * (g2 + x^2 / 2 - 3 * x * H1p - 2 * H1) / f1
+    f3p_x =
+        -f3 * f1px / f1 -
+        f1 * (3 * x^2 / 2 - 2 * x * H1p + H1p^2) / x +
+        f1px * (g2 - 3 * x^2 / 4 + H1 + 3 * H1p^2 / 2) +
+        x^2 * p2px * (g2 + x^2 / 2 - 3 * x * H1p - 2 * H1) / f1
     dy[5] = f3p_x / a
     return nothing
 end
 
-"""Initial conditions at x = x0, matching the TJ-analytic model's near-axis
-expansion (cf. R. Fitzpatrick's TJ code, https://github.com/rfitzp/TJ)."""
+"""
+Initial conditions at x = x0, matching the TJ-analytic model's near-axis
+expansion (cf. R. Fitzpatrick's TJ code, https://github.com/rfitzp/TJ).
+"""
 function tj_analytic_shape_initial(p::TJAnalyticShapeParams, nu::Float64)
     f1_0 = tj_analytic_f1(p.x0, nu, p.qc)
     y0 = zeros(5)
@@ -368,14 +372,14 @@ downstream Hₙ / ψ splines sit on uniform nodes); leave it `nothing` for
 the default adaptive save pattern used by `tj_analytic_run`.
 """
 function tj_analytic_shape_solve(p::TJAnalyticShapeParams, nu::Float64;
-                        reltol::Float64 = 1e-7, abstol::Float64 = 1e-8,
-                        saveat = nothing)
-    rhs_params = (; p.a, p.B0, p.qc, p.mu, p.pc, p.epsa2, nu = nu)
+    reltol::Float64=1e-7, abstol::Float64=1e-8,
+    saveat=nothing)
+    rhs_params = (; p.a, p.B0, p.qc, p.mu, p.pc, p.epsa2, nu=nu)
     prob = ODEProblem(tj_analytic_shape_rhs!, tj_analytic_shape_initial(p, nu), (p.r0, p.a), rhs_params)
     if saveat === nothing
-        return solve(prob, Vern9(); reltol, abstol, maxiters = 10000, dense = false)
+        return solve(prob, Vern9(); reltol, abstol, maxiters=10000, dense=false)
     else
-        return solve(prob, Vern9(); reltol, abstol, maxiters = 10000, saveat = saveat)
+        return solve(prob, Vern9(); reltol, abstol, maxiters=10000, saveat=saveat)
     end
 end
 
@@ -389,9 +393,9 @@ O(εa²) correction relative to the lowest-order guess ν = qa/qc, which
 matters for the TJ-analytic benchmark at large ε.  Falls back to the
 lowest-order ν if the bracket search diverges.
 """
-function tj_analytic_find_nu(p::TJAnalyticShapeParams, qa_target::Float64; reltol::Float64 = 1e-7)
+function tj_analytic_find_nu(p::TJAnalyticShapeParams, qa_target::Float64; reltol::Float64=1e-7)
     function q2_edge(nu::Float64)
-        sol   = tj_analytic_shape_solve(p, nu; reltol)
+        sol = tj_analytic_shape_solve(p, nu; reltol)
         g2end = sol.u[end][2]
         f3end = sol.u[end][5]
         f1end = tj_analytic_f1(1.0, nu, p.qc)
@@ -400,7 +404,7 @@ function tj_analytic_find_nu(p::TJAnalyticShapeParams, qa_target::Float64; relto
     nu_guess = qa_target / p.qc
     return try
         find_zero(nu -> q2_edge(nu) - qa_target, (0.5 * nu_guess, 2 * nu_guess);
-                  atol = 1e-8, rtol = 1e-10)
+            atol=1e-8, rtol=1e-10)
     catch err
         @warn "ν root-find failed for TJ-analytic equilibrium; falling back to lowest-order ν = qa/qc" error = err
         nu_guess
@@ -443,16 +447,16 @@ included; they are zero in the TJ-analytic benchmark scans.
 Reference: R. Fitzpatrick, TJ code, https://github.com/rfitzp/TJ
 """
 function tj_analytic_run(equil_input::EquilibriumConfig, tj::TJAnalyticConfig)
-    a, R0  = tj.lar_a, tj.lar_r0
+    a, R0 = tj.lar_a, tj.lar_r0
     qc, mu = tj.qc, max(tj.mu, 1.001)
     pc, B0 = tj.pc, tj.B0
     ma, mtau = tj.ma, tj.mtau
     p = TJAnalyticShapeParams(tj)
-    epsa2     = p.epsa2
-    p00_phys  = B0^2 * epsa2 * pc          # μ₀P = B₀²·εa²·p₂ at axis
+    epsa2 = p.epsa2
+    p00_phys = B0^2 * epsa2 * pc          # μ₀P = B₀²·εa²·p₂ at axis
 
-    nu  = tj_analytic_find_nu(p, tj.qa; reltol = equil_input.etol)
-    sol = tj_analytic_shape_solve(p, nu; reltol = equil_input.etol)
+    nu = tj_analytic_find_nu(p, tj.qa; reltol=equil_input.etol)
+    sol = tj_analytic_shape_solve(p, nu; reltol=equil_input.etol)
 
     r_arr = sol.t
     y_mat = reduce(hcat, sol.u)'
@@ -468,7 +472,7 @@ function tj_analytic_run(equil_input::EquilibriumConfig, tj::TJAnalyticConfig)
         xfac = max(1 - x^2, 0.0)
         f1 = tj_analytic_f1(x, nu, qc)
 
-        ψ  = y_mat[i, 1]
+        ψ = y_mat[i, 1]
         g2 = y_mat[i, 2]
         H1 = y_mat[i, 3]
         f3 = y_mat[i, 5]
@@ -507,7 +511,7 @@ function tj_analytic_run(equil_input::EquilibriumConfig, tj::TJAnalyticConfig)
         f = spl(r; hint=hint)
         # f[1]=F, f[2]=P, f[3]=q, f[4]=ψ, f[5]=g₂, f[6]=H₁
 
-        sq_xs[ia]    = f[4] / psio
+        sq_xs[ia] = f[4] / psio
         sq_fs[ia, 1] = f[1]           # F
         sq_fs[ia, 2] = f[2]           # P
         sq_fs[ia, 3] = f[3]           # q
@@ -525,7 +529,7 @@ function tj_analytic_run(equil_input::EquilibriumConfig, tj::TJAnalyticConfig)
         for itau in 1:(mtau+1)
             θ = 2π * (itau - 1) / mtau
             rzphi_fs_nodes[ia, itau, 1] = R0 + Δ + α * r * cos(θ)
-            rzphi_fs_nodes[ia, itau, 2] =          α * r * sin(θ)
+            rzphi_fs_nodes[ia, itau, 2] = α * r * sin(θ)
         end
     end
 
@@ -579,38 +583,38 @@ ODE (g₂, H₁, H₁', f₃), the `GetPSIvac` / `GetHHvac` vacuum extension, an
 EFIT-writer (R, Z) → (r, w) Newton inversion that this routine adapts.
 """
 function tj_analytic_run_direct(equil_input::EquilibriumConfig, tj::TJAnalyticConfig;
-                       nrbox::Int = 257, nzbox::Int = 257, rc::Float64 = 1.2)
-    a, R0  = tj.lar_a, tj.lar_r0
+    nrbox::Int=257, nzbox::Int=257, rc::Float64=1.2)
+    a, R0 = tj.lar_a, tj.lar_r0
     qc, mu = tj.qc, max(tj.mu, 1.001)
     pc, B0 = tj.pc, tj.B0
     p = TJAnalyticShapeParams(tj)
     epsa, epsa2 = p.a / p.R0, p.epsa2
-    p00_phys    = B0^2 * epsa2 * pc
+    p00_phys = B0^2 * epsa2 * pc
 
     # ν root-find (cf. Fitzpatrick TJ's Setnu): q₂(1) = qa_target.
-    nu = tj_analytic_find_nu(p, tj.qa; reltol = equil_input.etol)
+    nu = tj_analytic_find_nu(p, tj.qa; reltol=equil_input.etol)
 
     # Dense saveat so the downstream splines (H₁, g₂, f₃, ψ) are evaluated on
     # a fine uniform r grid rather than the ~30 adaptive Vern9 steps — otherwise
     # the (R, Z) → (r, w) Newton iteration hits spline interpolation artifacts.
-    dense_r = collect(range(p.r0, p.a; length = 1024))
-    sol     = tj_analytic_shape_solve(p, nu; reltol = equil_input.etol,
-                              abstol = 1e-10, saveat = dense_r)
-    r_arr   = sol.t
-    y_mat   = reduce(hcat, sol.u)'
+    dense_r = collect(range(p.r0, p.a; length=1024))
+    sol = tj_analytic_shape_solve(p, nu; reltol=equil_input.etol,
+        abstol=1e-10, saveat=dense_r)
+    r_arr = sol.t
+    y_mat = reduce(hcat, sol.u)'
 
     # Radial splines in the TJ-analytic dimensionless x = r/a on a clean grid for H₁ etc.
     x_nodes = r_arr ./ a
-    ψ_of_r   = cubic_interp(r_arr, y_mat[:, 1]; extrap=ExtendExtrap())
-    H1_of_x  = cubic_interp(x_nodes, y_mat[:, 3]; extrap=ExtendExtrap())
+    ψ_of_r = cubic_interp(r_arr, y_mat[:, 1]; extrap=ExtendExtrap())
+    H1_of_x = cubic_interp(x_nodes, y_mat[:, 3]; extrap=ExtendExtrap())
     H1p_of_x = cubic_interp(x_nodes, y_mat[:, 4]; extrap=ExtendExtrap())
-    g2_of_x  = cubic_interp(x_nodes, y_mat[:, 2]; extrap=ExtendExtrap())
-    f3_of_x  = cubic_interp(x_nodes, y_mat[:, 5]; extrap=ExtendExtrap())
+    g2_of_x = cubic_interp(x_nodes, y_mat[:, 2]; extrap=ExtendExtrap())
+    f3_of_x = cubic_interp(x_nodes, y_mat[:, 5]; extrap=ExtendExtrap())
 
     # Edge values needed by GetPSIvac
-    f1a  = tj_analytic_f1(1.0, nu, qc)
-    f3a  = f3_of_x(1.0)
-    H1a  = H1_of_x(1.0)
+    f1a = tj_analytic_f1(1.0, nu, qc)
+    f3a = f3_of_x(1.0)
+    H1a = H1_of_x(1.0)
     H1ap = H1p_of_x(1.0)
     psio = ψ_of_r(a)   # ψ at r = a (boundary)
 
@@ -644,7 +648,7 @@ function tj_analytic_run_direct(equil_input::EquilibriumConfig, tj::TJAnalyticCo
             return f_R_shift(rc - 1e-8, w) * r^2 / rc^2
         end
         H1 = (r < 1.0) ? H1_of_x(r) : H1_vac(r)
-        L  = r^3 / 8 - r * H1 / 2
+        L = r^3 / 8 - r * H1 / 2
         return epsa2 * H1 + epsa2 * epsa * L * cos(w)
     end
     function f_Z_shift(r::Float64, w::Float64)
@@ -652,7 +656,7 @@ function tj_analytic_run_direct(equil_input::EquilibriumConfig, tj::TJAnalyticCo
             return f_Z_shift(rc - 1e-8, w) * r^2 / rc^2
         end
         H1 = (r < 1.0) ? H1_of_x(r) : H1_vac(r)
-        L  = r^3 / 8 - r * H1 / 2
+        L = r^3 / 8 - r * H1 / 2
         return -epsa2 * epsa * L * sin(w)
     end
 
@@ -699,9 +703,9 @@ function tj_analytic_run_direct(equil_input::EquilibriumConfig, tj::TJAnalyticCo
     # Grid spans R₀ ± rc·a × ±rc·a (where rc is the vacuum-shell radius in
     # units of a), giving a comfortable margin for the separatrix finder.
     r_span = rc * a
-    psi_in_xs = collect(range(R0 - r_span, R0 + r_span; length = nrbox))
-    psi_in_ys = collect(range(-r_span, r_span; length = nzbox))
-    psi_rz    = zeros(Float64, nrbox, nzbox)
+    psi_in_xs = collect(range(R0 - r_span, R0 + r_span; length=nrbox))
+    psi_in_ys = collect(range(-r_span, r_span; length=nzbox))
+    psi_rz = zeros(Float64, nrbox, nzbox)
 
     for i in 1:nrbox, j in 1:nzbox
         R_norm = psi_in_xs[i] / R0
@@ -724,8 +728,10 @@ function tj_analytic_run_direct(equil_input::EquilibriumConfig, tj::TJAnalyticCo
     # 1D profile spline, same layout as read_efit (4 columns).  Use the
     # TJ-analytic q₂ on the radial grid so that the prescribed q is
     # consistent with the ψ(R,Z) we just constructed.
-    psi_norm_grid = range(0.0, 1.0; length = nrbox)
-    F_nodes  = zeros(nrbox); P_nodes = zeros(nrbox); q_nodes = zeros(nrbox)
+    psi_norm_grid = range(0.0, 1.0; length=nrbox)
+    F_nodes = zeros(nrbox)
+    P_nodes = zeros(nrbox)
+    q_nodes = zeros(nrbox)
     for i in 1:nrbox
         ψN = psi_norm_grid[i]
         # Invert ψN = (ψ_plasma(r) - 0) / psio  ⇒  find r such that ψ_plasma(r) = ψN·psio.
@@ -746,7 +752,7 @@ function tj_analytic_run_direct(equil_input::EquilibriumConfig, tj::TJAnalyticCo
         F_nodes[i] = R0 * B0 * (1 + epsa2 * g2_val)
         P_nodes[i] = p00_phys * xfac^mu
         q_nodes[i] = (x > 1e-10) ? x^2 * (1 + epsa2 * g2_val) *
-                                    exp(-epsa2 * f3_val / f1) / f1 : qc
+                                   exp(-epsa2 * f3_val / f1) / f1 : qc
     end
     sq_fs_nodes = hcat(F_nodes, P_nodes, q_nodes, sqrt.(collect(psi_norm_grid)))
     sq_in = cubic_interp(collect(psi_norm_grid), Series(sq_fs_nodes); extrap=ExtendExtrap())
@@ -756,7 +762,7 @@ function tj_analytic_run_direct(equil_input::EquilibriumConfig, tj::TJAnalyticCo
 
     # Analytic: ingest=nothing — replay regenerates from the [TJ_ANALYTIC_INPUT] TOML section.
     return DirectRunInput(equil_input, sq_in, psi_in, psi_in_xs, psi_in_ys,
-                          rmin_grid, rmax_grid, zmin_grid, zmax_grid, psio, 1, nothing)
+        rmin_grid, rmax_grid, zmin_grid, zmax_grid, psio, 1, nothing)
 end
 
 """
diff --git a/src/Equilibrium/DirectEquilibriumArcLength.jl b/src/Equilibrium/DirectEquilibriumArcLength.jl
index 32b93a0ac..f247da7a1 100644
--- a/src/Equilibrium/DirectEquilibriumArcLength.jl
+++ b/src/Equilibrium/DirectEquilibriumArcLength.jl
@@ -64,11 +64,11 @@ end
 Arc-length-parameterized flux surface integration. Drop-in replacement for
 `direct_fieldline_int` with identical return format:
 
-- `y_out[:, 1]`: geometric angle η ∈ 0 to 2π (CCW from outboard midplane)
-- `y_out[:, 2]`: accumulated ∫dl/Bp
-- `y_out[:, 3]`: rfac = √((R−ro)² + (Z−zo)²)
-- `y_out[:, 4]`: accumulated ∫dl/(R²Bp)
-- `y_out[:, 5]`: accumulated ∫jac·dl/Bp
+  - `y_out[:, 1]`: geometric angle η ∈ 0 to 2π (CCW from outboard midplane)
+  - `y_out[:, 2]`: accumulated ∫dl/Bp
+  - `y_out[:, 3]`: rfac = √((R−ro)² + (Z−zo)²)
+  - `y_out[:, 4]`: accumulated ∫dl/(R²Bp)
+  - `y_out[:, 5]`: accumulated ∫jac·dl/Bp
 
 The ODE is terminated by a `ContinuousCallback` that detects the return to the
 outboard midplane (Z = zo, R > ro) after a minimum arc-length guard.
@@ -144,4 +144,3 @@ outboard midplane (Z = zo, R > ro) after a minimum arc-length guard.
     # bfield at the starting point carries F and P for the surface-averaged quantities
     return y_out, bfield
 end
-
diff --git a/src/Equilibrium/Equilibrium.jl b/src/Equilibrium/Equilibrium.jl
index eed157812..6b55898ad 100644
--- a/src/Equilibrium/Equilibrium.jl
+++ b/src/Equilibrium/Equilibrium.jl
@@ -330,10 +330,10 @@ function equilibrium_global_parameters!(pe::PlasmaEquilibrium)
     P_vals = profiles.P_spline.y
     dVdpsi_vals = profiles.dVdpsi_spline.y
 
-    fsi_pdv  = fsi(P_vals .* dVdpsi_vals)         # ∫ p  dV/dψ
-    fsi_dv   = fsi(dVdpsi_vals)                   # ∫ dV/dψ
+    fsi_pdv = fsi(P_vals .* dVdpsi_vals)         # ∫ p  dV/dψ
+    fsi_dv = fsi(dVdpsi_vals)                   # ∫ dV/dψ
     fsi_p2dv = fsi(P_vals .^ 2 .* dVdpsi_vals)    # ∫ p² dV/dψ
-    volume   = fsi_dv                             # same integrand as hs col 2 in Fortran
+    volume = fsi_dv                             # same integrand as hs col 2 in Fortran
 
     # Poloidal-field surface integral hs_bp2(ψ) = ψ₀² ∮dθ |∇ψ|² / (R² J).
     # This is Fortran equil_out.f's hs%fs(:,3) and is the correct integrand for
@@ -343,21 +343,21 @@ function equilibrium_global_parameters!(pe::PlasmaEquilibrium)
     for ipsi in 0:mpsi
         acc = 0.0
         for itheta in 0:mtheta
-            r2       = pe.rzphi_rsquared.nodal_derivs.partials[1, ipsi+1, itheta+1]
-            offset   = pe.rzphi_offset.nodal_derivs.partials[1,    ipsi+1, itheta+1]
-            jac      = pe.rzphi_jac.nodal_derivs.partials[1,       ipsi+1, itheta+1]
-            r2_y     = pe.rzphi_rsquared.nodal_derivs.partials[3, ipsi+1, itheta+1]
-            offset_y = pe.rzphi_offset.nodal_derivs.partials[3,    ipsi+1, itheta+1]
+            r2 = pe.rzphi_rsquared.nodal_derivs.partials[1, ipsi+1, itheta+1]
+            offset = pe.rzphi_offset.nodal_derivs.partials[1, ipsi+1, itheta+1]
+            jac = pe.rzphi_jac.nodal_derivs.partials[1, ipsi+1, itheta+1]
+            r2_y = pe.rzphi_rsquared.nodal_derivs.partials[3, ipsi+1, itheta+1]
+            offset_y = pe.rzphi_offset.nodal_derivs.partials[3, ipsi+1, itheta+1]
 
             jacfac = π / jac
-            rfac   = sqrt(r2)
-            eta    = 2π * (pe.rzphi_ys[itheta+1] + offset)
-            r      = pe.ro + rfac * cos(eta)
-            v21    = jacfac * r2_y / (2π * rfac)
-            v22    = jacfac * (1 + offset_y) * (2 * rfac)
-            v33    = jacfac * 2π * (r / π)
-            dvsq   = (v21^2 + v22^2) * (v33 * jac^2)^2
-            acc   += dvsq / (r^2) / jac
+            rfac = sqrt(r2)
+            eta = 2π * (pe.rzphi_ys[itheta+1] + offset)
+            r = pe.ro + rfac * cos(eta)
+            v21 = jacfac * r2_y / (2π * rfac)
+            v22 = jacfac * (1 + offset_y) * (2 * rfac)
+            v33 = jacfac * 2π * (r / π)
+            dvsq = (v21^2 + v22^2) * (v33 * jac^2)^2
+            acc += dvsq / (r^2) / jac
         end
         # Periodic trapezoidal rule on uniform θ grid reduces to a plain mean
         # because the first and last grid points coincide — matches the int1/int2
@@ -367,15 +367,15 @@ function equilibrium_global_parameters!(pe::PlasmaEquilibrium)
     fsi_bp2 = fsi(hs_bp2)
 
     p0 = P_vals[1] - profiles.P_deriv(profiles.xs[1]; hint=Ref(1)) * profiles.xs[1]  # linear extrapolation
-    betat  = 2 * (fsi_pdv / fsi_dv) / bt0^2
-    betaj  = 2 * sqrt(fsi_p2dv / fsi_dv) / bwall^2
-    betan  = 100 * amean * bt0 * betat / crnt
+    betat = 2 * (fsi_pdv / fsi_dv) / bt0^2
+    betaj = 2 * sqrt(fsi_p2dv / fsi_dv) / bwall^2
+    betan = 100 * amean * bt0 * betat / crnt
     betap1 = 2 * (fsi_pdv / fsi_dv) / bp0^2
     betap2 = 4 * fsi_pdv / ((1e6 * mu0 * crnt)^2 * pe.ro)
     betap3 = 4 * fsi_pdv / ((1e6 * mu0 * crnt)^2 * rmean)
-    li1    = fsi_bp2 / fsi_dv / bp0^2
-    li2    = 2 * fsi_bp2 / ((1e6 * mu0 * crnt)^2 * pe.ro)
-    li3    = 2 * fsi_bp2 / ((1e6 * mu0 * crnt)^2 * rmean)
+    li1 = fsi_bp2 / fsi_dv / bp0^2
+    li2 = 2 * fsi_bp2 / ((1e6 * mu0 * crnt)^2 * pe.ro)
+    li3 = 2 * fsi_bp2 / ((1e6 * mu0 * crnt)^2 * rmean)
 
     pe.params.psi0 = psio
     pe.params.psi_axis = pe.psio
diff --git a/src/Equilibrium/EquilibriumTypes.jl b/src/Equilibrium/EquilibriumTypes.jl
index 344f5a60f..d6d8e16b8 100644
--- a/src/Equilibrium/EquilibriumTypes.jl
+++ b/src/Equilibrium/EquilibriumTypes.jl
@@ -245,7 +245,9 @@ A mutable struct holding parameters for the Large Aspect Ratio (LAR) plasma equi
     zeroth::Bool = false
 end
 
-"Build a `LargeAspectRatioConfig` from a parsed `[LAR_INPUT]` TOML table."
+"""
+Build a `LargeAspectRatioConfig` from a parsed `[LAR_INPUT]` TOML table.
+"""
 function LargeAspectRatioConfig(input_dict::Dict{String,Any})
     return LargeAspectRatioConfig(; symbolize_keys(input_dict)...)
 end
@@ -285,7 +287,9 @@ Reference: R. Fitzpatrick, TJ code, https://github.com/rfitzp/TJ
     zeroth::Bool = false       # If true, suppress Shafranov shift
 end
 
-"Build a `TJAnalyticConfig` from a parsed `[TJ_ANALYTIC_INPUT]` TOML table."
+"""
+Build a `TJAnalyticConfig` from a parsed `[TJ_ANALYTIC_INPUT]` TOML table.
+"""
 function TJAnalyticConfig(input_dict::Dict{String,Any})
     return TJAnalyticConfig(; symbolize_keys(input_dict)...)
 end
@@ -321,7 +325,9 @@ A mutable struct holding parameters for the Solev'ev (SOL) plasma equilibrium mo
     f0fac::Float64 = 1       # scale toroidal field at constant pressure (s*f. beta,q changes. Phi,p,bp constant)
 end
 
-"Build a `SolovevConfig` from a parsed `[SOL_INPUT]` TOML table."
+"""
+Build a `SolovevConfig` from a parsed `[SOL_INPUT]` TOML table.
+"""
 function SolovevConfig(input_dict::Dict{String,Any})
     return SolovevConfig(; symbolize_keys(input_dict)...)
 end
@@ -419,6 +425,7 @@ raw equilibrium data and preparing the initial splines.
      2. `μ₀ * Pressure` — plasma pressure (non-negative) [T²]
      3. `q` — safety factor profile
      4. `√ψ_norm` — square root of normalized flux
+
   - `psi_in`
     2D cubic interpolant on the (R, Z) grid [m].
     The values correspond to the **poloidal flux** adjusted to be zero at the boundary [Wb/rad].
@@ -430,14 +437,23 @@ raw equilibrium data and preparing the initial splines.
 
           * 1D profiles are represented by `CubicInterpolant` or `CubicSeriesInterpolant`
           * 2D flux surfaces by `CubicInterpolantND`
+
   - `psi_in_xs::Vector{Float64}` — R coordinate grid for psi_in [m]
+
   - `psi_in_ys::Vector{Float64}` — Z coordinate grid for psi_in [m]
+
   - `rmin::Float64` — Minimum R-coordinate of the computational grid [m]
+
   - `rmax::Float64` — Maximum R-coordinate of the computational grid [m]
+
   - `zmin::Float64` — Minimum Z-coordinate of the computational grid [m]
+
   - `zmax::Float64` — Maximum Z-coordinate of the computational grid [m]
+
   - `psio::Float64` — Total flux difference `|ψ_axis - ψ_boundary|` [Wb/rad]
+
   - `bt_sign::Int` — Sign of the toroidal field (+1 or -1); read from fpol sign in EFIT g-files
+
   - `ingest::EquilibriumIngest` — captured raw arrays for the `gpec.h5` rerun snapshot
     (a [`DirectIngest`](@ref) for file-based reads, or `nothing` for analytic equilibria)
   - `psihigh_resolved::Float64` — outer flux limit the equilibrium is formed on: `config.psihigh`
@@ -749,7 +765,7 @@ function GeometryProfileSplines(xs::Vector{Float64},
 
     GeometryProfileSplines{typeof(area_spline)}(
         xs, npts, npts - 1,
-        area_spline, avg_r_spline, avg_R_spline,
+        area_spline, avg_r_spline, avg_R_spline
     )
 end
 
@@ -828,7 +844,7 @@ function KineticProfileSplines(xs::Vector{Float64},
         xs, npts, npts - 1,
         ni_spline, ne_spline, Ti_spline, Te_spline,
         omegaE_spline, loglam_spline, nui_spline, nue_spline, zeff_spline,
-        ni_deriv, ne_deriv, Ti_deriv, Te_deriv,
+        ni_deriv, ne_deriv, Ti_deriv, Te_deriv
     )
 end
 
@@ -845,17 +861,21 @@ This object provides a complete representation of the processed plasma equilibri
 
   - `params::EquilibriumParameters`:
     Computed equilibrium parameters and diagnostics.
+
   - `profiles::ProfileSplines`:
     Named 1D profile splines (F, P, dV/dψ, q) on normalized psi grid.
     Access values at grid points via `profiles.F_spline.y[i]`, etc.
     Access derivatives via `profiles.F_deriv.y[i]` or `profiles.F_deriv(psi)`.
+
   - `geometry::GeometryProfileSplines`:
     Named 1D splines for flux-surface-averaged geometry (area, ⟨r⟩, ⟨R⟩),
     populated automatically by `compute_geometry_profiles` during construction.
+
   - **Grid coordinates (shared by all rzphi/eqfun interpolants):**
 
       + `rzphi_xs::Vector{Float64}`: ψ coordinates (length mpsi+1)
       + `rzphi_ys::Vector{Float64}`: θ coordinates (length mtheta+1)
+
   - **Geometric quantities (rzphi, 4 interpolants):**
     2D cubic interpolants for flux-coordinate mapping with periodic BC in theta.
 
@@ -865,6 +885,7 @@ This object provides a complete representation of the processed plasma equilibri
       + `rzphi_offset::CubicInterpolantND`: η/(2π) - θₙₑw (angle offset)
       + `rzphi_nu::CubicInterpolantND`: ν in ϕ = 2πζ + ν(ψ, θ)
       + `rzphi_jac::CubicInterpolantND`: Jacobian
+
   - **Physics quantities (eqfun, 3 interpolants):**
     2D cubic interpolants storing local physics and geometric quantities.
 
@@ -873,9 +894,13 @@ This object provides a complete representation of the processed plasma equilibri
       + `eqfun_B::CubicInterpolantND`: Total magnetic field strength [T]
       + `eqfun_metric1::CubicInterpolantND`: (e₁⋅e₂ + q⋅e₃⋅e₁)/(J⋅B²)
       + `eqfun_metric2::CubicInterpolantND`: (e₂⋅e₃ + q⋅e₃⋅e₃)/(J⋅B²)
+
   - `ro::Float64`: R-coordinate of the magnetic axis [m]
+
   - `zo::Float64`: Z-coordinate of the magnetic axis [m]
+
   - `psio::Float64`: Total flux difference |Ψ_axis - Ψ_boundary| [Weber/radian]
+
   - `ingest::EquilibriumIngest`: raw arrays forwarded from the equilibrium input for the
     `gpec.h5` rerun snapshot — a [`DirectIngest`](@ref)/[`InverseIngest`](@ref) for file-based
     equilibria, or `nothing` for analytic ones (regenerated from their TOML section on replay)
diff --git a/src/Equilibrium/GeometryProfiles.jl b/src/Equilibrium/GeometryProfiles.jl
index a9596c308..9b414cf83 100644
--- a/src/Equilibrium/GeometryProfiles.jl
+++ b/src/Equilibrium/GeometryProfiles.jl
@@ -27,7 +27,7 @@ function compute_geometry_profiles(
     rzphi_rsquared::FastInterpolations.CubicInterpolantND,
     rzphi_offset::FastInterpolations.CubicInterpolantND,
     rzphi_jac::FastInterpolations.CubicInterpolantND,
-    ro::Float64,
+    ro::Float64
 )
     npsi = length(rzphi_xs)
     mthsurf = length(rzphi_ys) - 1     # skip the periodic duplicate at θ = 1
@@ -78,6 +78,6 @@ function compute_geometry_profiles(pe::PlasmaEquilibrium)
     return compute_geometry_profiles(
         pe.rzphi_xs, pe.rzphi_ys,
         pe.rzphi_rsquared, pe.rzphi_offset, pe.rzphi_jac,
-        pe.ro,
+        pe.ro
     )
 end
diff --git a/src/Equilibrium/ReadEquilibrium.jl b/src/Equilibrium/ReadEquilibrium.jl
index 8cc221b7a..068814505 100644
--- a/src/Equilibrium/ReadEquilibrium.jl
+++ b/src/Equilibrium/ReadEquilibrium.jl
@@ -432,15 +432,17 @@ Load an equilibrium from an IMAS data dictionary and return a `DirectRunInput`.
 The `dd.equilibrium.time_slice[]` is used (active time slice). Poloidal flux is
 converted from the IMAS COCOS convention (set by `config.imas_cocos`) to the
 internal COCOS 2 convention:
+
   - `imas_cocos = 11` (default, IMAS standard): divide ψ by 2π
   - `imas_cocos = 2` (GPEC internal): no conversion
 
 ## Arguments
-- `config`: `EquilibriumConfig` with `eq_type = "imas"` and `imas_cocos` set.
-- `dd`: populated `IMASdd.dd` with `dd.equilibrium.time_slice[]` containing:
-  - `global_quantities.psi_axis`, `global_quantities.psi_boundary`
-  - `profiles_1d.psi`, `profiles_1d.f`, `profiles_1d.pressure`, `profiles_1d.q`
-  - `profiles_2d[1].grid.dim1` (R), `profiles_2d[1].grid.dim2` (Z), `profiles_2d[1].psi`
+
+  - `config`: `EquilibriumConfig` with `eq_type = "imas"` and `imas_cocos` set.
+  - `dd`: populated `IMASdd.dd` with `dd.equilibrium.time_slice[]` containing:
+      + `global_quantities.psi_axis`, `global_quantities.psi_boundary`
+      + `profiles_1d.psi`, `profiles_1d.f`, `profiles_1d.pressure`, `profiles_1d.q`
+      + `profiles_2d[1].grid.dim1` (R), `profiles_2d[1].grid.dim2` (Z), `profiles_2d[1].psi`
 """
 function read_imas(config::EquilibriumConfig, dd)
     @info "Processing IMAS equilibrium at global_time = $(dd.global_time) s"
diff --git a/src/ForceFreeStates/EulerLagrange.jl b/src/ForceFreeStates/EulerLagrange.jl
index 88c1d9e4a..3ed691261 100644
--- a/src/ForceFreeStates/EulerLagrange.jl
+++ b/src/ForceFreeStates/EulerLagrange.jl
@@ -37,9 +37,9 @@ end
 # at the interval endpoints. Coefficients are ported from STRIDE's ode_itime cost model
 # (Fortran reference) and unchanged here. Tune only after re-fitting against a per-chunk
 # step-count sweep; touching these affects parallel-chunk load balancing.
-const ODE_COST_AXIS  = (a = 39695.0, b = 212830.0)
-const ODE_COST_RAT   = (a = 17147.0, b = 470710.0)
-const ODE_COST_EDGE  = (a =  1646.0, b =   4683.0)
+const ODE_COST_AXIS = (a=39695.0, b=212830.0)
+const ODE_COST_RAT = (a=17147.0, b=470710.0)
+const ODE_COST_EDGE = (a=1646.0, b=4683.0)
 
 """
     ode_itime_cost(psi1, psi2, intr) -> Float64
@@ -72,7 +72,7 @@ never from `Threads.nthreads()` — so the chunk list, and hence every Riccati o
 identical whatever thread count `julia -t` provides.
 
 Each split finds the equal-cost midpoint ψ_mid via bisection:
-  ode_itime_cost(psi_start, psi_mid) ≈ ode_itime_cost(psi_start, psi_end) / 2
+ode_itime_cost(psi_start, psi_mid) ≈ ode_itime_cost(psi_start, psi_end) / 2
 
 Sub-chunks inherit `needs_crossing=false` and `ising=0`. Only the LAST sub-chunk of
 each original chunk retains `needs_crossing=true` and the original `ising`, so the
@@ -131,10 +131,10 @@ function balance_integration_chunks(chunks::Vector{IntegrationChunk}, ctrl::Forc
         psi_mid = (lo + hi) / 2.0
 
         left = IntegrationChunk(; psi_start=chunk.psi_start, psi_end=psi_mid,
-                                  needs_crossing=false, ising=0, direction=1)
+            needs_crossing=false, ising=0, direction=1)
         right = IntegrationChunk(; psi_start=psi_mid, psi_end=chunk.psi_end,
-                                   needs_crossing=chunk.needs_crossing, ising=chunk.ising,
-                                   direction=chunk.direction)
+            needs_crossing=chunk.needs_crossing, ising=chunk.ising,
+            direction=chunk.direction)
         splice!(result, best_idx, [left, right])
     end
 
@@ -284,20 +284,20 @@ is identified by dominant |U₁| component, giving the physically correct consta
 Frobenius solution and avoiding the spurious logarithmic irregularity.
 """
 function compute_axis_init(ffit::FourFitVars, profiles::Equilibrium.ProfileSplines,
-        intr::ForceFreeStatesInternal, psi_low::Float64)
-    N    = intr.numpert_total
+    intr::ForceFreeStatesInternal, psi_low::Float64)
+    N = intr.numpert_total
     hint = Ref(1)
 
     # Evaluate stability matrices at psi_low
     F_lower = zeros(ComplexF64, N, N)
-    kmat    = zeros(ComplexF64, N, N)
-    gmat    = zeros(ComplexF64, N, N)
+    kmat = zeros(ComplexF64, N, N)
+    gmat = zeros(ComplexF64, N, N)
     ffit.fmats_lower(vec(F_lower), psi_low; hint=hint)
-    ffit.kmats(vec(kmat),          psi_low; hint=hint)
-    ffit.gmats(vec(gmat),          psi_low; hint=hint)
+    ffit.kmats(vec(kmat), psi_low; hint=hint)
+    ffit.gmats(vec(gmat), psi_low; hint=hint)
 
     # singfac[j] = 1 / (m_j − n_j · q) for each mode j
-    q0      = profiles.q_spline(psi_low; hint=hint)
+    q0 = profiles.q_spline(psi_low; hint=hint)
     singfac = vec(1.0 ./ ((intr.mlow:intr.mhigh) .- q0 .* (intr.nlow:intr.nhigh)'))
 
     # F̄⁻¹ = (F_lower · F_lower')⁻¹ via the Cholesky factor
@@ -311,15 +311,15 @@ function compute_axis_init(ffit::FourFitVars, profiles::Equilibrium.ProfileSplin
     for j in 1:N
         sf = singfac[j]
         fi = Finv[j, j]
-        k  = kmat[j, j]
+        k = kmat[j, j]
         kd = conj(k)          # K̄†[j,j]
-        g  = gmat[j, j]
+        g = gmat[j, j]
 
         # 2×2 ODE matrix block for mode j [Glasser 2016 Eq. 22-24, diagonal approximation]
         m11 = -sf * fi * k
-        m12 =  sf^2 * fi
-        m21 =  g - kd * fi * k
-        m22 =  sf * kd * fi
+        m12 = sf^2 * fi
+        m21 = g - kd * fi * k
+        m22 = sf * kd * fi
 
         # Frobenius matrix A₀_j = ψ_low · M_j [Glasser 2016 Eq. 51]
         #! format: off
@@ -346,7 +346,7 @@ function compute_axis_init(ffit::FourFitVars, profiles::Equilibrium.ProfileSplin
         if abs(v2) > Base.sqrt(Base.eps(Float64)) * abs(v1)
             U1_init[j, j] = v1 / v2
         else
-            U1_init[j, j] =  one(ComplexF64)
+            U1_init[j, j] = one(ComplexF64)
             U2_init[j, j] = zero(ComplexF64)
         end
     end
@@ -365,7 +365,7 @@ Formerly `ode_axis_init!`. This now only initializes `psifac`, `ising_start`, an
 Move ising_start logic to chunk_el_integration_bounds?
 """
 function initialize_el_at_axis!(odet::OdeState, ctrl::ForceFreeStatesControl, ffit::FourFitVars,
-        profiles::Equilibrium.ProfileSplines, intr::ForceFreeStatesInternal)
+    profiles::Equilibrium.ProfileSplines, intr::ForceFreeStatesInternal)
 
     # Default psifac to minimum equilibrium psi value
     odet.psifac = profiles.xs[1]
@@ -542,7 +542,7 @@ function chunk_el_integration_bounds(odet::OdeState, ctrl::ForceFreeStatesContro
                 psi_end=psi_end,
                 needs_crossing=true,
                 ising=ising_current,
-                direction = bidirectional ? -1 : 1
+                direction=bidirectional ? -1 : 1
             ))
 
             # After crossing, we jump to the other side of the singular surface
@@ -975,7 +975,7 @@ function transform_u!(odet::OdeState, intr::ForceFreeStatesInternal)
                     temp[ksol, jsol] = odet.fixfac[ksol, jsol, ifix]
                 end
             end
-            mul!(gauss_buffer, view(gauss,:,:,ifix), temp)
+            mul!(gauss_buffer, view(gauss, :, :, ifix), temp)
             gauss[:, :, ifix] .= gauss_buffer
         end
         # Account for zeroed indices at singular surfaces in `ode_ideal_cross`
@@ -992,7 +992,7 @@ function transform_u!(odet::OdeState, intr::ForceFreeStatesInternal)
     # and mfix + 1 is the for the region after the last fixup and before the edge
     transforms[:, :, end] .= identity
     for ifix in odet.ifix:-1:1
-        mul!(view(transforms,:,:,ifix), view(gauss,:,:,ifix), view(transforms,:,:,(ifix+1)))
+        mul!(view(transforms, :, :, ifix), view(gauss, :, :, ifix), view(transforms, :, :, (ifix+1)))
     end
 
     # Now that we have the transform matrices, we can apply them to the solution vectors
diff --git a/src/ForceFreeStates/Galerkin/GalerkinAssembly.jl b/src/ForceFreeStates/Galerkin/GalerkinAssembly.jl
index 3032e6ef7..787305d96 100644
--- a/src/ForceFreeStates/Galerkin/GalerkinAssembly.jl
+++ b/src/ForceFreeStates/Galerkin/GalerkinAssembly.jl
@@ -119,11 +119,12 @@ function gal_gauss_quad!(cell::GalCell, ffit::FourFitVars, profiles, intr::Force
         pb = swap_edge ? (pbt[1], pbt[2], pbt[4], pbt[3]) : pbt
         qb = swap_edge ? (qbt[1], qbt[2], qbt[4], qbt[3]) : qbt
         for ip in 0:np, ipert in 1:N, jp in 0:np, jpert in 1:N
-            cell.mat[ipert, jpert, ip+1, jp+1] += w * (
-                F[ipert, jpert] * qb[ip+1] * qb[jp+1] +
-                K[ipert, jpert] * qb[ip+1] * pb[jp+1] +
-                conj(K[jpert, ipert]) * pb[ip+1] * qb[jp+1] +
-                G[ipert, jpert] * pb[ip+1] * pb[jp+1])
+            cell.mat[ipert, jpert, ip+1, jp+1] +=
+                w * (
+                    F[ipert, jpert] * qb[ip+1] * qb[jp+1] +
+                    K[ipert, jpert] * qb[ip+1] * pb[jp+1] +
+                    conj(K[jpert, ipert]) * pb[ip+1] * qb[jp+1] +
+                    G[ipert, jpert] * pb[ip+1] * pb[jp+1])
         end
     end
     return cell
@@ -345,8 +346,8 @@ function gal_resonant!(cell::GalCell, ising::Int, ffit::FourFitVars, profiles,
     if verbose
         @info "  resonant jsing=$jsing side=$(cell.extra) qerr=$(qerr) res1=$(raw[1]) res2=$(raw[2])"
     end
-    hbig = reshape(@view(raw[3:2+N*(np+1)]), N, np + 1)
-    hsmall = reshape(@view(raw[3+N*(np+1):end]), N, np + 1)
+    hbig = reshape(@view(raw[3:(2+N*(np+1))]), N, np + 1)
+    hsmall = reshape(@view(raw[(3+N*(np+1)):end]), N, np + 1)
 
     # Apply the right-side negation and the gal_make_arrays signs (gal.f gal_make_arrays)
     cell.erhs = -sgn_u * raw[1]
@@ -449,7 +450,7 @@ including its full three-way edge branch (rpec count `ncoil = ws.nsol - 2*msing`
   - free boundary (`wv_edge !== nothing`): add the vacuum block `wvac·psio²` at the edge value DOF
     (gal.f).
   - fixed boundary (else): identity edge (gal.f).
-`wv_edge` is `nothing` for the rpec and fixed cases.
+    `wv_edge` is `nothing` for the rpec and fixed cases.
 """
 function gal_set_boundary!(ws::GalWorkspace, mpert::Int, wv_edge::Union{Nothing,Matrix{ComplexF64}})
     chol = ws.solver == "cholesky"
@@ -474,7 +475,7 @@ function gal_set_boundary!(ws::GalWorkspace, mpert::Int, wv_edge::Union{Nothing,
             cell.mat[idx, idx, 4, 4] = 1
         end
         for ipert in 1:mpert
-            ws.rhs[cell.map[ipert, 4], 2 * msing + ipert] = 1
+            ws.rhs[cell.map[ipert, 4], 2*msing+ipert] = 1
         end
     elseif wv_edge !== nothing
         # free boundary: vacuum block wvac·psio² (gal.f)
diff --git a/src/ForceFreeStates/Galerkin/GalerkinGrid.jl b/src/ForceFreeStates/Galerkin/GalerkinGrid.jl
index 497e26e70..49b369fba 100644
--- a/src/ForceFreeStates/Galerkin/GalerkinGrid.jl
+++ b/src/ForceFreeStates/Galerkin/GalerkinGrid.jl
@@ -20,7 +20,7 @@ function gal_pack(nx::Int, pfac::Float64, side::String)
     elseif side == "right"
         xi = collect(0:2nx) ./ (2nx)
     elseif side == "both"
-        xi = collect(-nx:nx) ./ nx
+        xi = collect((-nx):nx) ./ nx
     else
         error("gal_pack: unrecognized side = $side")
     end
diff --git a/src/ForceFreeStates/Galerkin/GalerkinSolve.jl b/src/ForceFreeStates/Galerkin/GalerkinSolve.jl
index 66dddd893..3b659e2da 100644
--- a/src/ForceFreeStates/Galerkin/GalerkinSolve.jl
+++ b/src/ForceFreeStates/Galerkin/GalerkinSolve.jl
@@ -39,7 +39,9 @@ function gal_make_arrays!(ws::GalWorkspace, ctrl::ForceFreeStatesControl, equil,
     return ws
 end
 
-"""Empty `GalerkinResult` for a domain with no resonant surfaces."""
+"""
+Empty `GalerkinResult` for a domain with no resonant surfaces.
+"""
 function empty_galerkin_result()
     return GalerkinResult(0, Float64[], Float64[], Int[], Int[], Float64[], ComplexF64[], nothing, nothing)
 end
diff --git a/src/ForceFreeStates/Resist.jl b/src/ForceFreeStates/Resist.jl
index 3c436daa2..066d10179 100644
--- a/src/ForceFreeStates/Resist.jl
+++ b/src/ForceFreeStates/Resist.jl
@@ -33,11 +33,13 @@ coefficients E, F, G, H, K, M, the local time scales τ_A (`taua`), τ_R (`taur`
 by total volume), and the surface index `ising`.
 
 # Required keyword arguments
+
   - `eta::Real` — plasma resistivity η at this surface [Ω·m]
   - `rho::Real` — mass density ρ at this surface [kg/m³]
   - `gamma::Real` — ratio of specific heats (enters G; physical thermodynamic value, e.g. 5/3)
 
 # Physics
+
 The six flux-surface averages (Fortran `avg(1:6)`) are
 `⟨B²/|∇ψ|²⟩, ⟨1/|∇ψ|²⟩, ⟨1/B²⟩, ⟨1/(B²|∇ψ|²)⟩, ⟨B²⟩, ⟨|∇ψ|²/B²⟩`, each weighted by `J/V′`
 and integrated over θ ∈ [0,1) — exactly the resist.f integrands. The timescales are
@@ -150,10 +152,10 @@ function resonant_match_rpec(delta_out_raw::AbstractMatrix, delta_coil_raw::Abst
     size(delta_coil_raw, 1) == 2msing || error("delta_coil_raw rows $(size(delta_coil_raw,1)) != 2msing")
 
     if ctrl.gal_ideal_flag   # ideal limit: no inner layer, no reconnection
-        return ResonantMatchResult(zeros(ComplexF64,2msing,ncoil), zeros(ComplexF64,2msing,ncoil),
-            zeros(ComplexF64,msing,2), zeros(ComplexF64,msing), Matrix{ComplexF64}(delta_coil_raw), empty_bpen, 0.0)
+        return ResonantMatchResult(zeros(ComplexF64, 2msing, ncoil), zeros(ComplexF64, 2msing, ncoil),
+            zeros(ComplexF64, msing, 2), zeros(ComplexF64, msing), Matrix{ComplexF64}(delta_coil_raw), empty_bpen, 0.0)
     end
-    for (nm,v) in (("gal_eta",ctrl.gal_eta),("gal_rho",ctrl.gal_rho),("gal_rotation",ctrl.gal_rotation))
+    for (nm, v) in (("gal_eta", ctrl.gal_eta), ("gal_rho", ctrl.gal_rho), ("gal_rotation", ctrl.gal_rotation))
         length(v) == msing || error("$nm length $(length(v)) != msing $msing")
     end
 
@@ -169,37 +171,47 @@ function resonant_match_rpec(delta_out_raw::AbstractMatrix, delta_coil_raw::Abst
         rpec_eig[i] = γ
         inner = InnerLayer.solve_inner_profile(InnerLayer.GGJModel(; solver=:galerkin), params, γ;
             xfac=ctrl.gal_inner_xfac, nx=ctrl.gal_inner_nx, nq=ctrl.gal_inner_nq, cutoff=ctrl.gal_inner_cutoff, kmax=ctrl.gal_inner_kmax)
-        deltar[i,1] = inner.Δ[1]; deltar[i,2] = inner.Δ[2]
+        deltar[i, 1] = inner.Δ[1]
+        deltar[i, 2] = inner.Δ[2]
         scale = -2π * chi1 * im * nn * sings[i].q1 * inner.dψdx   # b_m = −2πi·χ₁·n·q′·dψdx·rescale·Ψ (GalerkinMatch.jl)
-        pen[i,1] = scale * inner.Ψ[1,1] * inner.rescale          # parity 1 (Ψ(0)≠0)
-        pen[i,2] = scale * inner.Ψ[1,2] * inner.rescale          # parity 2 (Ψ(0)=0 ⇒ ~0)
+        pen[i, 1] = scale * inner.Ψ[1, 1] * inner.rescale          # parity 1 (Ψ(0)≠0)
+        pen[i, 2] = scale * inner.Ψ[1, 2] * inner.rescale          # parity 2 (Ψ(0)=0 ⇒ ~0)
     end
 
-    mat  = zeros(ComplexF64, 4msing, 4msing)
+    mat = zeros(ComplexF64, 4msing, 4msing)
     rmat = zeros(ComplexF64, 4msing, ncoil)
-    @views mat[2msing+1:4msing, 1:2msing] .= transpose(delta_out_raw)
-    @views rmat[2msing+1:4msing, :] .= .-delta_coil_raw
+    @views mat[(2msing+1):4msing, 1:2msing] .= transpose(delta_out_raw)
+    @views rmat[(2msing+1):4msing, :] .= .-delta_coil_raw
     for i in 1:msing
-        a=2i-1; b=2i; c=a+2msing; d=b+2msing
-        d1=deltar[i,1]; d2=deltar[i,2]
-        mat[a,a]=1;  mat[b,b]=1
-        mat[a,c]=-1; mat[a,d]=1
-        mat[b,c]=-1; mat[b,d]=-1
-        mat[c,c]=-d1; mat[c,d]=d2
-        mat[d,c]=-d1; mat[d,d]=-d2
+        a=2i-1
+        b=2i
+        c=a+2msing
+        d=b+2msing
+        d1=deltar[i, 1]
+        d2=deltar[i, 2]
+        mat[a, a]=1
+        mat[b, b]=1
+        mat[a, c]=-1
+        mat[a, d]=1
+        mat[b, c]=-1
+        mat[b, d]=-1
+        mat[c, c]=-d1
+        mat[c, d]=d2
+        mat[d, c]=-d1
+        mat[d, d]=-d2
     end
 
     cof = mat \ rmat
     residual = norm(mat*cof - rmat) / max(norm(rmat), 1e-300)
     cout = cof[1:2msing, :]
-    cin  = cof[2msing+1:4msing, :]
-    
+    cin = cof[(2msing+1):4msing, :]
+
     reconnected_flux = delta_coil_raw .+ transpose(delta_out_raw)*cout
     # Inner-layer penetrated (reconnected) resonant field per surface — ONE quantity per surface, read off
     # the inner solution at the layer center (match.f intotsol_b; GalerkinMatch.jl): bpen[i,j] = pen₁(i)·cin[2i,j] + pen₂(i)·cin[2i-1,j].
     bpen = zeros(ComplexF64, msing, ncoil)
     for i in 1:msing, j in 1:ncoil
-        bpen[i,j] = pen[i,1]*cin[2i,j] + pen[i,2]*cin[2i-1,j]
+        bpen[i, j] = pen[i, 1]*cin[2i, j] + pen[i, 2]*cin[2i-1, j]
     end
     return ResonantMatchResult(cout, cin, deltar, rpec_eig, reconnected_flux, bpen, residual)
-end
\ No newline at end of file
+end
diff --git a/src/ForceFreeStates/ResistEval.jl b/src/ForceFreeStates/ResistEval.jl
index 04953b6c0..0f472bb38 100644
--- a/src/ForceFreeStates/ResistEval.jl
+++ b/src/ForceFreeStates/ResistEval.jl
@@ -33,23 +33,23 @@
 Per-singular-surface Glasser-Greene-Johnson geometric coefficients and
 supporting flux-surface averages.
 
-| field       | meaning                                              |
-|-------------|------------------------------------------------------|
-| `E`, `F`    | Glasser interchange parameters (enter `D_I = E+F+H-¼`) |
-| `G`         | Coupling coefficient (curvature × pressure gradient) |
-| `H`         | Pfirsch-Schlüter coefficient                         |
-| `K`         | Glasser parameter                                    |
-| `M`         | Mass factor                                          |
-| `avg_bsq_over_dpsisq` | ⟨B²/|∇ψ|²⟩ — needed for τ_R         |
-| `avg_bsq`   | ⟨B²⟩ — needed for τ_R                                |
-| `avg_B`     | ⟨B⟩ — needed for Lin-Liu-Miller f_t                  |
-| `B_max`, `B_min` | θ-extrema of B on the surface [T]               |
-| `f_trap`    | Lin-Liu & Miller 1995 trapped-particle fraction      |
-| `R_major`   | flux-surface-averaged major radius ⟨R⟩ [m]           |
-| `eps_local` | (R_max − R_min)/2 / R_major — local inverse aspect ratio |
-| `p_local`   | Plasma pressure at this surface [Pa]                 |
-| `p1_local`  | dp/dψ at this surface                                |
-| `v1_local`  | dV/dψ at this surface                                |
+| field                 | meaning                                                  |
+|:--------------------- |:-------------------------------------------------------- |
+| `E`, `F`              | Glasser interchange parameters (enter `D_I = E+F+H-¼`)   |
+| `G`                   | Coupling coefficient (curvature × pressure gradient)     |
+| `H`                   | Pfirsch-Schlüter coefficient                             |
+| `K`                   | Glasser parameter                                        |
+| `M`                   | Mass factor                                              |
+| `avg_bsq_over_dpsisq` | ⟨B²/                                                     |
+| `avg_bsq`             | ⟨B²⟩ — needed for τ_R                                    |
+| `avg_B`               | ⟨B⟩ — needed for Lin-Liu-Miller f_t                      |
+| `B_max`, `B_min`      | θ-extrema of B on the surface [T]                        |
+| `f_trap`              | Lin-Liu & Miller 1995 trapped-particle fraction          |
+| `R_major`             | flux-surface-averaged major radius ⟨R⟩ [m]               |
+| `eps_local`           | (R_max − R_min)/2 / R_major — local inverse aspect ratio |
+| `p_local`             | Plasma pressure at this surface [Pa]                     |
+| `p1_local`            | dp/dψ at this surface                                    |
+| `v1_local`            | dV/dψ at this surface                                    |
 
 `H` here is identical to the `H` reported by `mercier_scan!` and stored
 in `LocalStability/h` — the GGJ routine recomputes it for convenience.
@@ -99,6 +99,7 @@ standard GGJ formulas.
   - `gamma`  — adiabatic index (default 5/3)
 
 !!! note "Contract"
+
     `psifac` must be a genuine interior rational surface (`0 < ψ < 1`) with
     nonzero `q1`, `p1 = dp/dψ`, and `p`. The GGJ combination divides by these
     and by `|∇ψ|²` (which → 0 at the axis), so calling on the magnetic axis,
@@ -107,47 +108,47 @@ standard GGJ formulas.
     rationals.
 """
 function resist_geometry(equil::Equilibrium.PlasmaEquilibrium,
-                          psifac::Real, q1::Real; gamma::Real=5/3)
+    psifac::Real, q1::Real; gamma::Real=5/3)
     profiles = equil.profiles
-    twopi    = 2π
-    chi1     = twopi * equil.psio
-    psi_f    = Float64(psifac)
+    twopi = 2π
+    chi1 = twopi * equil.psio
+    psi_f = Float64(psifac)
 
     # Surface-profile quantities (evaluate via the existing splines)
     twopif = profiles.F_spline(psi_f)
-    p      = profiles.P_spline(psi_f)
-    p1     = profiles.P_deriv(psi_f)
-    v1     = profiles.dVdpsi_spline(psi_f)
-    v2     = profiles.dVdpsi_deriv(psi_f)
-    q      = profiles.q_spline(psi_f)
+    p = profiles.P_spline(psi_f)
+    p1 = profiles.P_deriv(psi_f)
+    v1 = profiles.dVdpsi_spline(psi_f)
+    v2 = profiles.dVdpsi_deriv(psi_f)
+    q = profiles.q_spline(psi_f)
 
     # Build the 6 GGJ θ-integrands plus a 7th (B) for the neoclassical
     # resistivity f_t calculation, and accumulate running extrema of
     # (B, R) for Lin-Liu-Miller f_t and the local ε.
     ntheta = length(equil.rzphi_ys)
-    ff     = zeros(Float64, ntheta, 7)
-    B_max  = -Inf
-    B_min  =  Inf
-    R_max  = -Inf
-    R_min  =  Inf
+    ff = zeros(Float64, ntheta, 7)
+    B_max = -Inf
+    B_min = Inf
+    R_max = -Inf
+    R_min = Inf
     for itheta in 1:ntheta
         theta = equil.rzphi_ys[itheta]
-        f1  = equil.rzphi_rsquared((psi_f, theta))
-        f2  = equil.rzphi_offset((psi_f, theta))
+        f1 = equil.rzphi_rsquared((psi_f, theta))
+        f2 = equil.rzphi_offset((psi_f, theta))
         jac = equil.rzphi_jac((psi_f, theta))
         fy1 = FastInterpolations.deriv_view(equil.rzphi_rsquared, (0, 1))((psi_f, theta))
-        fy2 = FastInterpolations.deriv_view(equil.rzphi_offset,   (0, 1))((psi_f, theta))
-        fy3 = FastInterpolations.deriv_view(equil.rzphi_nu,       (0, 1))((psi_f, theta))
+        fy2 = FastInterpolations.deriv_view(equil.rzphi_offset, (0, 1))((psi_f, theta))
+        fy3 = FastInterpolations.deriv_view(equil.rzphi_nu, (0, 1))((psi_f, theta))
 
         rfac = sqrt(f1)
-        eta  = twopi * (theta + f2)
-        r    = equil.ro + rfac * cos(eta)
+        eta = twopi * (theta + f2)
+        r = equil.ro + rfac * cos(eta)
 
         v21 = fy1 / (2 * rfac * jac)
         v22 = (1 + fy2) * twopi * rfac / jac
         v23 = fy3 * r / jac
         v33 = twopi * r / jac
-        bsq    = chi1^2 * (v21^2 + v22^2 + (v23 + q*v33)^2)
+        bsq = chi1^2 * (v21^2 + v22^2 + (v23 + q*v33)^2)
         dpsisq = (twopi * r)^2 * (v21^2 + v22^2)
 
         B_here = sqrt(bsq)
@@ -180,7 +181,7 @@ function resist_geometry(equil::Equilibrium.PlasmaEquilibrium,
              (twopif * q1 * chi1 / avg[5] - v2)
     F_coef = (p1 * v1 / (q1 * chi1^2))^2 *
              (avg[1] * avg[3] + (twopif / chi1)^2 *
-              (avg[1] * avg[4] - avg[2]^2))
+                                (avg[1] * avg[4] - avg[2]^2))
     H_coef = twopif * p1 * v1 / (q1 * chi1^3) * (avg[2] - avg[1] / avg[5])
     M_coef = avg[1] *
              (avg[6] + (twopif / chi1)^2 * (avg[3] - 1.0 / avg[5]))
@@ -192,7 +193,7 @@ function resist_geometry(equil::Equilibrium.PlasmaEquilibrium,
         E_coef, F_coef, G_coef, H_coef, K_coef, M_coef,
         avg[1], avg[5],
         avg_B, B_max, B_min, f_trap, R_major, eps_local,
-        p, p1, v1,
+        p, p1, v1
     )
 end
 
@@ -204,8 +205,8 @@ Populate `sing.restype` for every `SingType` in `intr.sing` using
 filled.
 """
 function resist_eval_all!(intr::ForceFreeStatesInternal,
-                           equil::Equilibrium.PlasmaEquilibrium;
-                           gamma::Real=5/3)
+    equil::Equilibrium.PlasmaEquilibrium;
+    gamma::Real=5/3)
     for sing in intr.sing
         sing.restype === nothing || continue
         sing.restype = resist_geometry(equil, sing.psifac, sing.q1; gamma=gamma)
diff --git a/src/ForceFreeStates/Riccati.jl b/src/ForceFreeStates/Riccati.jl
index c1710cc12..7f9c8ee3a 100644
--- a/src/ForceFreeStates/Riccati.jl
+++ b/src/ForceFreeStates/Riccati.jl
@@ -97,7 +97,7 @@ This is compatible with downstream code (which uses U₁/U₂ ratio):
 # length chunks; the absolute floor catches short chunks where 5% of the span would be
 # smaller than the typical ODE step.
 const SAVE_NEAR_END_FRAC = 0.05
-const SAVE_NEAR_END_PSI  = 1e-4
+const SAVE_NEAR_END_PSI = 1e-4
 
 """
     assemble_fm_matrix(propagators, idx_range; condition=false) -> Matrix{ComplexF64}
@@ -107,6 +107,7 @@ in order for indices `idx_range`. Returns Φ_end * ... * Φ_start, so that the r
 maps the IC at the start of `idx_range[1]` to the state at the end of `idx_range[end]`.
 
 Each `ChunkPropagator` stores the 2N columns of Φ split into two N×N×2 blocks:
+
 ```
   block_upper_ic[:,:,1:2] ↔ Φ[:,1:N]     (result from IC=(I,0))
   block_lower_ic[:,:,1:2] ↔ Φ[:,N+1:2N]  (result from IC=(0,I))
@@ -124,8 +125,8 @@ means only U₂ ICs are needed. Do NOT use for inter-surface segments where both
 and U₂ components carry physical information.
 """
 function assemble_fm_matrix(propagators::Vector{ChunkPropagator}, idx_range;
-                            condition::Bool=false,
-                            T_init::Union{Nothing,Matrix{ComplexF64}}=nothing)
+    condition::Bool=false,
+    T_init::Union{Nothing,Matrix{ComplexF64}}=nothing)
     # Determine matrix size from T_init if provided (lets us handle empty idx_range and even
     # an empty propagators list, provided T_init carries the dimension). Otherwise fall back
     # to the first propagator that actually exists in idx_range, with a final fallback to
@@ -167,7 +168,7 @@ After conditioning, only the U₂ columns carry meaningful information; the U₁
 """
 function condition_propagator!(Phi::Matrix{ComplexF64}, N::Int)
     # Work on the right half: columns N+1:2N (U₂ initial conditions)
-    cols = view(Phi, :, N+1:2N)
+    cols = view(Phi, :, (N+1):2N)
 
     # Sort columns by norm of the U₁ (upper N) block — largest first
     norms = [norm(view(cols, 1:N, k)) for k in 1:N]
@@ -217,6 +218,7 @@ Compute the inter-surface tearing stability matrix (msing × msing) using the
 STRIDE global BVP formulation [Glasser 2018 Phys. Plasmas 25, 032501, Sec. III.B].
 
 The BVP encodes the full plasma response with unknowns at each surface boundary:
+
 ```
   x_axis      (N):  free IC parameters at the axis  (U₁ = 0 regular solutions)
   x_left[j]  (2N):  state at left inner-layer boundary of surface j
@@ -229,9 +231,11 @@ The BVP encodes the full plasma response with unknowns at each surface boundary:
 
 When `wv` is provided (the vacuum response matrix, singfac-scaled), the edge BC
 follows the Fortran STRIDE convention:
+
 ```
   U₁ = c,  U₂ = -wv·ψ₀²·c
 ```
+
 which is the free-boundary condition `wp + wv = 0` at the edge.
 When `wv` is `nothing`, a conducting wall BC (`U₁ = 0`) is used.
 
@@ -248,9 +252,11 @@ keeps the BVP matrix full-rank and well-conditioned.
 The raw BVP solution is a 2·msing × 2·msing matrix `dp` with left/right
 sub-indices at each surface. The PEST3-convention Δ' matrix is the linear
 combination [Chance, PPPL-2527]:
+
 ```
   deltap(i,j) = dp(2i,2j) - dp(2i,2j-1) - dp(2i-1,2j) + dp(2i-1,2j-1)
 ```
+
 stored in `intr.delta_prime_matrix` (msing × msing).
 
 ## Limitations
@@ -275,13 +281,13 @@ function compute_delta_prime_matrix!(
     intr::ForceFreeStatesInternal,
     propagators::Vector{ChunkPropagator},
     chunks::Vector{IntegrationChunk};
-    wv::Union{Nothing,Matrix{ComplexF64}} = nothing,
-    psio::Float64 = 0.0,
-    debug::Bool = false,
-    S_at_surface_left::Union{Nothing,Vector{Matrix{ComplexF64}}} = nothing,
-    ctrl::Union{Nothing,ForceFreeStatesControl} = nothing,
-    equil::Union{Nothing,Equilibrium.PlasmaEquilibrium} = nothing,
-    ffit::Union{Nothing,FourFitVars} = nothing
+    wv::Union{Nothing,Matrix{ComplexF64}}=nothing,
+    psio::Float64=0.0,
+    debug::Bool=false,
+    S_at_surface_left::Union{Nothing,Vector{Matrix{ComplexF64}}}=nothing,
+    ctrl::Union{Nothing,ForceFreeStatesControl}=nothing,
+    equil::Union{Nothing,Equilibrium.PlasmaEquilibrium}=nothing,
+    ffit::Union{Nothing,FourFitVars}=nothing
 )
     intr.msing == 0 && return
     _has_unsupported_multi_resonance(intr) && return
@@ -301,8 +307,10 @@ function compute_delta_prime_matrix!(
     if !use_S_axis
         for ic in i_crossings
             chunks[ic].direction == 1 ||
-                error("compute_delta_prime_matrix!: FM-axis fallback (use_S_axis=false) requires forward crossing chunks; " *
-                      "chunk $ic has direction=$(chunks[ic].direction). Either provide S_at_surface_left or use bidirectional=false.")
+                error(
+                    "compute_delta_prime_matrix!: FM-axis fallback (use_S_axis=false) requires forward crossing chunks; " *
+                    "chunk $ic has direction=$(chunks[ic].direction). Either provide S_at_surface_left or use bidirectional=false."
+                )
         end
     end
 
@@ -315,15 +323,15 @@ function compute_delta_prime_matrix!(
         _build_asymptotic_basis_matrices(sing, has_ua, N, msing)
 
     debug && _log_bvp_setup(chunks, sing, S_at_surface_left, use_S_axis, has_ua,
-                            Phi_L_mats, Phi_R_mats, Phi_R_halves, ipert_all, wv, psio, N, msing)
+        Phi_L_mats, Phi_R_mats, Phi_R_halves, ipert_all, wv, psio, N, msing)
 
     if use_S_axis
         uShootR, uShootL, uAxis = _build_S_axis_shooting_propagators(
             propagators, chunks, i_crossings, sing, msing, N,
             T_left_mats, T_right_mats, has_ua, ctrl, equil, ffit, intr, debug)
         debug && _log_S_axis_shooting_propagators(uShootR, uShootL, uAxis,
-                                                  S_at_surface_left, T_left_mats,
-                                                  ipert_all, has_ua, msing, N)
+            S_at_surface_left, T_left_mats,
+            ipert_all, has_ua, msing, N)
         M, nMat, col_edge = _assemble_bvp_S_axis(
             uShootR, uShootL, uAxis, ipert_all, msing, N, wv, psio)
     else
@@ -350,13 +358,13 @@ function compute_delta_prime_matrix!(
     # The raw matrix is consumed by `pest3_decompose` to recover (A', B', Γ', Δ') for the full
     # det(D' − D(γ)) = 0 eigenvalue problem; see ForceFreeStatesStructs.jl docstring.
     intr.delta_prime_matrix = deltap
-    intr.delta_prime_raw    = dp_raw_persisted
+    intr.delta_prime_raw = dp_raw_persisted
 end
 
 # Column index helpers for the BVP matrix. j is the 1-based singular-surface index,
 # N is numpert_total. Layout: c_axis(N), c_left[1](2N), c_right[1](2N), ..., c_edge(N).
-_col_left(j::Int, N::Int)  = (N + 4N*(j-1) + 1):(N + 4N*(j-1) + 2N)
-_col_right(j::Int, N::Int) = (N + 4N*(j-1) + 2N + 1):(N + 4N*j)
+_col_left(j::Int, N::Int) = (N+4N*(j-1)+1):(N+4N*(j-1)+2N)
+_col_right(j::Int, N::Int) = (N+4N*(j-1)+2N+1):(N+4N*j)
 
 # Multi-resonance surfaces (one q value satisfying multiple (m,n) tuples in a multi-n run)
 # are not yet handled by the inter-surface BVP. Returns true if any surface has >1 modes;
@@ -395,28 +403,28 @@ end
 # Midpoint splitting halves each inter-surface span's condition number — STRIDE's trick:
 # cond(full) = 10¹⁵ → cond(half) ≈ 10⁷·⁵, an 8-digit accuracy gain.
 function _assemble_segment_propagators(propagators::Vector{ChunkPropagator},
-                                       chunks::Vector{IntegrationChunk},
-                                       i_crossings::Vector{Int}, msing::Int, N::Int,
-                                       use_S_axis::Bool)
+    chunks::Vector{IntegrationChunk},
+    i_crossings::Vector{Int}, msing::Int, N::Int,
+    use_S_axis::Bool)
     Phi_L_mats = [assemble_fm_matrix(propagators, i_crossings[j]:i_crossings[j]) for j in 1:msing]
     Phi_R_mats = Vector{Matrix{ComplexF64}}(undef, msing + 1)
     if !use_S_axis
-        Phi_R_mats[1] = assemble_fm_matrix(propagators, 1:i_crossings[1]-1; condition=true)
+        Phi_R_mats[1] = assemble_fm_matrix(propagators, 1:(i_crossings[1]-1); condition=true)
     end
     for j in 2:msing
-        Phi_R_mats[j] = assemble_fm_matrix(propagators, i_crossings[j-1]+1:i_crossings[j]-1)
+        Phi_R_mats[j] = assemble_fm_matrix(propagators, (i_crossings[j-1]+1):(i_crossings[j]-1))
     end
-    Phi_R_mats[msing+1] = assemble_fm_matrix(propagators, i_crossings[msing]+1:length(chunks))
+    Phi_R_mats[msing+1] = assemble_fm_matrix(propagators, (i_crossings[msing]+1):length(chunks))
 
     Phi_R_halves = Vector{Tuple{Matrix{ComplexF64},Matrix{ComplexF64}}}(undef, msing - 1)
-    for j in 1:msing-1
+    for j in 1:(msing-1)
         chunk_start = i_crossings[j] + 1
-        chunk_end   = i_crossings[j+1] - 1
-        n_chunks    = chunk_end - chunk_start + 1
+        chunk_end = i_crossings[j+1] - 1
+        n_chunks = chunk_end - chunk_start + 1
         if n_chunks >= 2
             i_mid = chunk_start + div(n_chunks, 2) - 1
-            Phi_left_half  = assemble_fm_matrix(propagators, chunk_start:i_mid)
-            Phi_right_half = assemble_fm_matrix(propagators, i_mid+1:chunk_end)
+            Phi_left_half = assemble_fm_matrix(propagators, chunk_start:i_mid)
+            Phi_right_half = assemble_fm_matrix(propagators, (i_mid+1):chunk_end)
             Phi_R_halves[j] = (Phi_left_half, Phi_right_half)
         else
             Phi_R_halves[j] = (Matrix{ComplexF64}(I, 2N, 2N), Phi_R_mats[j+1])
@@ -430,17 +438,17 @@ end
 # N+1:2N = small solutions (z^{+α}, bounded). Fortran STRIDE bakes T into the shooting
 # propagators (uFM_sing_init); we multiply T into the BVP propagator blocks at each surface.
 function _build_asymptotic_basis_matrices(sing::Vector{SingType}, has_ua::Bool, N::Int, msing::Int)
-    T_left_mats  = Vector{Matrix{ComplexF64}}(undef, msing)
+    T_left_mats = Vector{Matrix{ComplexF64}}(undef, msing)
     T_right_mats = Vector{Matrix{ComplexF64}}(undef, msing)
-    T_left_inv   = Vector{Matrix{ComplexF64}}(undef, msing)
-    T_right_inv  = Vector{Matrix{ComplexF64}}(undef, msing)
+    T_left_inv = Vector{Matrix{ComplexF64}}(undef, msing)
+    T_right_inv = Vector{Matrix{ComplexF64}}(undef, msing)
     if has_ua
         for j in 1:msing
             sp = sing[j]
-            T_left_mats[j]  = [sp.ua_left[:,:,1]; sp.ua_left[:,:,2]]
-            T_right_mats[j] = [sp.ua_right[:,:,1]; sp.ua_right[:,:,2]]
-            T_left_inv[j]   = inv(T_left_mats[j])
-            T_right_inv[j]  = inv(T_right_mats[j])
+            T_left_mats[j] = [sp.ua_left[:, :, 1]; sp.ua_left[:, :, 2]]
+            T_right_mats[j] = [sp.ua_right[:, :, 1]; sp.ua_right[:, :, 2]]
+            T_left_inv[j] = inv(T_left_mats[j])
+            T_right_inv[j] = inv(T_right_mats[j])
         end
     end
     return T_left_mats, T_right_mats, T_left_inv, T_right_inv
@@ -471,7 +479,7 @@ function _build_S_axis_shooting_propagators(
         end
         if can_reintegrate && !isempty(shoot_range_R)
             uShootR[j] = integrate_fm_with_ua_ic(chunks, shoot_range_R, sing[j].ua_right,
-                            ctrl, equil, ffit, intr; backward=false, psi_ua=sing[j].psi_ua_right)
+                ctrl, equil, ffit, intr; backward=false, psi_ua=sing[j].psi_ua_right)
         else
             T_init = has_ua ? T_right_mats[j] : nothing
             uShootR[j] = assemble_fm_matrix(propagators, shoot_range_R; T_init=T_init)
@@ -488,7 +496,7 @@ function _build_S_axis_shooting_propagators(
         end
         if can_reintegrate && !isempty(shoot_range_L)
             uShootL[j] = integrate_fm_with_ua_ic(chunks, shoot_range_L, sing[j].ua_left,
-                            ctrl, equil, ffit, intr; backward=true, psi_ua=sing[j].psi_ua_left)
+                ctrl, equil, ffit, intr; backward=true, psi_ua=sing[j].psi_ua_left)
         else
             T_init = has_ua ? T_left_mats[j] : nothing
             uShootL[j] = assemble_fm_matrix(propagators, shoot_range_L; T_init=T_init)
@@ -497,10 +505,10 @@ function _build_S_axis_shooting_propagators(
 
     uAxis, i_axis_mid = _build_conditioned_axis_propagator(propagators, i_crossings, N)
     uShootL[1] = _build_uShootL_first(propagators, chunks, i_crossings, sing,
-                                      T_left_mats, has_ua, can_reintegrate, i_axis_mid,
-                                      ctrl, equil, ffit, intr, N)
+        T_left_mats, has_ua, can_reintegrate, i_axis_mid,
+        ctrl, equil, ffit, intr, N)
     if debug
-        shoot_range_L1 = (i_axis_mid + 1):(i_crossings[1] - 1)
+        shoot_range_L1 = (i_axis_mid+1):(i_crossings[1]-1)
         @info "  Axis propagator: $(i_axis_mid) chunks, cond=$(@sprintf("%.2e", cond(uAxis)))"
         @info "  uShootL[1]: range=$(shoot_range_L1), cond=$(@sprintf("%.2e", cond(uShootL[1])))"
     end
@@ -513,25 +521,25 @@ end
 # chunk+1 to chunk(i_crossings[j]-1). The ψ midpoint is used (not the chunk-index midpoint)
 # because chunks near singularities are packed tighter in ψ — Fortran convention.
 function _midpoint_shoot_range(chunks::Vector{IntegrationChunk}, i_crossings::Vector{Int},
-                               j::Int, msing::Int; side::Symbol)
+    j::Int, msing::Int; side::Symbol)
     if side === :right
-        j == msing && return (i_crossings[msing] + 1):length(chunks)
+        j == msing && return (i_crossings[msing]+1):length(chunks)
         chunk_start = i_crossings[j] + 1
-        chunk_end   = i_crossings[j+1] - 1
+        chunk_end = i_crossings[j+1] - 1
     else  # :left, j >= 2
         chunk_start = i_crossings[j-1] + 1
-        chunk_end   = i_crossings[j] - 1
+        chunk_end = i_crossings[j] - 1
     end
     psi_mid_target = (chunks[chunk_start].psi_start + chunks[chunk_end].psi_end) / 2
     i_mid_inter = chunk_start
-    for ic in chunk_start:chunk_end-1
+    for ic in chunk_start:(chunk_end-1)
         if chunks[ic].psi_end >= psi_mid_target
             i_mid_inter = ic
             break
         end
         i_mid_inter = ic
     end
-    return side === :right ? (chunk_start:i_mid_inter) : ((i_mid_inter + 1):chunk_end)
+    return side === :right ? (chunk_start:i_mid_inter) : ((i_mid_inter+1):chunk_end)
 end
 
 # Build a well-conditioned axis propagator by forward-propagating [0; I] through the
@@ -539,7 +547,7 @@ end
 # midpoint is placed one chunk before the first surface so that uShootL[1] covers only the
 # last chunk, keeping it well-conditioned.
 function _build_conditioned_axis_propagator(propagators::Vector{ChunkPropagator},
-                                            i_crossings::Vector{Int}, N::Int)
+    i_crossings::Vector{Int}, N::Int)
     n_pre_cross = i_crossings[1] - 1
     i_axis_mid = max(1, n_pre_cross - 1)
     uAxis = zeros(ComplexF64, 2N, N)
@@ -549,9 +557,9 @@ function _build_conditioned_axis_propagator(propagators::Vector{ChunkPropagator}
     for ic in 1:i_axis_mid
         prop = propagators[ic]
         upper_old = uAxis[1:N, :]
-        lower_old = uAxis[N+1:2N, :]
-        uAxis[1:N, :]    .= prop.block_upper_ic[:,:,1] * upper_old .+ prop.block_lower_ic[:,:,1] * lower_old
-        uAxis[N+1:2N, :] .= prop.block_upper_ic[:,:,2] * upper_old .+ prop.block_lower_ic[:,:,2] * lower_old
+        lower_old = uAxis[(N+1):2N, :]
+        uAxis[1:N, :] .= prop.block_upper_ic[:, :, 1] * upper_old .+ prop.block_lower_ic[:, :, 1] * lower_old
+        uAxis[(N+1):2N, :] .= prop.block_upper_ic[:, :, 2] * upper_old .+ prop.block_lower_ic[:, :, 2] * lower_old
         Q, _ = qr(uAxis)
         uAxis .= Matrix(Q)[:, 1:N]
     end
@@ -565,18 +573,18 @@ end
 # Falls back to T_left_mats[1] (or identity if no ua) when there's only 1 chunk before the
 # first crossing.
 function _build_uShootL_first(propagators::Vector{ChunkPropagator},
-                              chunks::Vector{IntegrationChunk}, i_crossings::Vector{Int},
-                              sing::Vector{SingType}, T_left_mats::Vector{Matrix{ComplexF64}},
-                              has_ua::Bool, can_reintegrate::Bool, i_axis_mid::Int,
-                              ctrl, equil, ffit, intr::ForceFreeStatesInternal, N::Int)
-    shoot_range_L1 = (i_axis_mid + 1):(i_crossings[1] - 1)
+    chunks::Vector{IntegrationChunk}, i_crossings::Vector{Int},
+    sing::Vector{SingType}, T_left_mats::Vector{Matrix{ComplexF64}},
+    has_ua::Bool, can_reintegrate::Bool, i_axis_mid::Int,
+    ctrl, equil, ffit, intr::ForceFreeStatesInternal, N::Int)
+    shoot_range_L1 = (i_axis_mid+1):(i_crossings[1]-1)
     if can_reintegrate && !isempty(shoot_range_L1)
         return integrate_fm_with_ua_ic(chunks, shoot_range_L1, sing[1].ua_left,
-                                       ctrl, equil, ffit, intr;
-                                       backward=true, psi_ua=sing[1].psi_ua_left)
+            ctrl, equil, ffit, intr;
+            backward=true, psi_ua=sing[1].psi_ua_left)
     elseif !isempty(shoot_range_L1)
         return assemble_fm_matrix(propagators, shoot_range_L1;
-                                  T_init=has_ua ? T_left_mats[1] : nothing)
+            T_init=has_ua ? T_left_mats[1] : nothing)
     else
         return has_ua ? T_left_mats[1] : Matrix{ComplexF64}(I, 2N, 2N)
     end
@@ -587,19 +595,19 @@ end
 # the catastrophically ill-conditioned axis FM. Fortran-matched structure with
 # nMat = (2 + 4·msing)·N. Returns (M, nMat, col_edge).
 function _assemble_bvp_S_axis(uShootR::Vector{Matrix{ComplexF64}},
-                              uShootL::Vector{Matrix{ComplexF64}},
-                              uAxis::Matrix{ComplexF64}, ipert_all::Vector{Int},
-                              msing::Int, N::Int,
-                              wv::Union{Nothing,Matrix{ComplexF64}}, psio::Float64)
+    uShootL::Vector{Matrix{ComplexF64}},
+    uAxis::Matrix{ComplexF64}, ipert_all::Vector{Int},
+    msing::Int, N::Int,
+    wv::Union{Nothing,Matrix{ComplexF64}}, psio::Float64)
     # STRIDE global BVP block structure [Glasser-Kolemen 2018 PoP 25, 032501 Eq. 37].
     nMat = (2 + 4 * msing) * N
     col_axis = 1:N
-    col_edge = (nMat - N + 1):nMat
+    col_edge = (nMat-N+1):nMat
     M = zeros(ComplexF64, nMat, nMat)
 
     # Axis matching: uShootL[1] · c_left[1] = uAxis · c_axis  (2N equations)
     M[1:2N, _col_left(1, N)] .= uShootL[1]
-    M[1:2N, col_axis]        .= -uAxis
+    M[1:2N, col_axis] .= -uAxis
     row_offset = 2N
 
     for j in 1:msing
@@ -608,24 +616,24 @@ function _assemble_bvp_S_axis(uShootR::Vector{Matrix{ComplexF64}},
         for i in 1:2N
             if i != ipert_j && i != ipert_j + N
                 row_offset += 1
-                M[row_offset, _col_left(j, N)[i]]  =  1
+                M[row_offset, _col_left(j, N)[i]] = 1
                 M[row_offset, _col_right(j, N)[i]] = -1
             end
         end
 
-        junc_rows = (row_offset + 1):(row_offset + 2N)
+        junc_rows = (row_offset+1):(row_offset+2N)
         if j < msing
             # Midpoint matching between consecutive surfaces
-            M[junc_rows, _col_right(j, N)]   .= -uShootR[j]
-            M[junc_rows, _col_left(j+1, N)]  .=  uShootL[j+1]
+            M[junc_rows, _col_right(j, N)] .= -uShootR[j]
+            M[junc_rows, _col_left(j+1, N)] .= uShootL[j+1]
         else
             # Edge junction
             M[junc_rows, _col_right(msing, N)] .= uShootR[msing]
             if wv !== nothing
-                M[junc_rows[1:N],     col_edge] .= -I(N)
-                M[junc_rows[N+1:end], col_edge] .= wv .* psio^2
+                M[junc_rows[1:N], col_edge] .= -I(N)
+                M[junc_rows[(N+1):end], col_edge] .= wv .* psio^2
             else
-                M[junc_rows[N+1:end], col_edge] .= -I(N)
+                M[junc_rows[(N+1):end], col_edge] .= -I(N)
             end
         end
         row_offset = last(junc_rows)
@@ -635,7 +643,7 @@ function _assemble_bvp_S_axis(uShootR::Vector{Matrix{ComplexF64}},
     for j in 1:msing
         ipert_j = ipert_all[j]
         row_offset += 1
-        M[row_offset, _col_left(j, N)[ipert_j]]  = 1
+        M[row_offset, _col_left(j, N)[ipert_j]] = 1
         row_offset += 1
         M[row_offset, _col_right(j, N)[ipert_j]] = 1
     end
@@ -670,18 +678,18 @@ end
 # Fallback BVP assembly with FM-based axis BC (used when no Riccati S matrices are available).
 # Uses the conditioned axis propagator Phi_R[1][:,N+1:2N] in place of S-axis matching.
 function _assemble_bvp_FM_axis(Phi_L_mats::Vector{Matrix{ComplexF64}},
-                               Phi_R_mats::Vector{Matrix{ComplexF64}}, ipert_all::Vector{Int},
-                               msing::Int, N::Int,
-                               T_left_inv::Vector{Matrix{ComplexF64}},
-                               T_right_inv::Vector{Matrix{ComplexF64}}, has_ua::Bool,
-                               wv::Union{Nothing,Matrix{ComplexF64}}, psio::Float64)
+    Phi_R_mats::Vector{Matrix{ComplexF64}}, ipert_all::Vector{Int},
+    msing::Int, N::Int,
+    T_left_inv::Vector{Matrix{ComplexF64}},
+    T_right_inv::Vector{Matrix{ComplexF64}}, has_ua::Bool,
+    wv::Union{Nothing,Matrix{ComplexF64}}, psio::Float64)
     nMat = (2 + 4 * msing) * N
     col_axis = 1:N
-    col_edge = (N + 4N*msing + 1):nMat
+    col_edge = (N+4N*msing+1):nMat
     M = zeros(ComplexF64, nMat, nMat)
 
     M[1:2N, (N+1):(N+2N)] .= Phi_L_mats[1]
-    M[1:2N, col_axis]     .= -view(Phi_R_mats[1], :, N+1:2N)
+    M[1:2N, col_axis] .= -view(Phi_R_mats[1], :, (N+1):2N)
 
     row_drive_base = 2N + (4N-2)*msing
     for j in 1:msing
@@ -692,29 +700,29 @@ function _assemble_bvp_FM_axis(Phi_L_mats::Vector{Matrix{ComplexF64}},
         for i in 1:2N
             if i != ipert_j && i != ipert_j + N
                 row_cont += 1
-                M[row_cont, cl[i]] =  1
+                M[row_cont, cl[i]] = 1
                 M[row_cont, cr[i]] = -1
             end
         end
-        junc_rows = (row_cont + 1):(2N + (4N-2)*j)
+        junc_rows = (row_cont+1):(2N+(4N-2)*j)
         if j < msing
-            M[junc_rows, cr]                .=  Phi_R_mats[j+1]
+            M[junc_rows, cr] .= Phi_R_mats[j+1]
             M[junc_rows, _col_left(j+1, N)] .= -Phi_L_mats[j+1]
         else
             M[junc_rows, cr] .= Phi_R_mats[msing+1]
             if wv !== nothing
-                M[junc_rows[1:N],     col_edge] .= -I(N)
-                M[junc_rows[N+1:end], col_edge] .= wv .* psio^2
+                M[junc_rows[1:N], col_edge] .= -I(N)
+                M[junc_rows[(N+1):end], col_edge] .= wv .* psio^2
             else
-                M[junc_rows[N+1:end], col_edge] .= -I(N)
+                M[junc_rows[(N+1):end], col_edge] .= -I(N)
             end
         end
         if has_ua
-            M[row_drive_base + 2j-1, cl] .= T_left_inv[j][ipert_j, :]
-            M[row_drive_base + 2j,   cr] .= T_right_inv[j][ipert_j, :]
+            M[row_drive_base+2j-1, cl] .= T_left_inv[j][ipert_j, :]
+            M[row_drive_base+2j, cr] .= T_right_inv[j][ipert_j, :]
         else
-            M[row_drive_base + 2j-1, cl[ipert_j]] = 1
-            M[row_drive_base + 2j,   cr[ipert_j]] = 1
+            M[row_drive_base+2j-1, cl[ipert_j]] = 1
+            M[row_drive_base+2j, cr[ipert_j]] = 1
         end
     end
     return M, nMat, col_edge
@@ -725,8 +733,8 @@ end
 # combination subtracts dp_raw entries up to ~3×10⁴ larger than the result, and Float64
 # precision lets the imaginary part drift 2–5× on DIIID-class equilibria.
 function _solve_bvp_and_combine_pest3(M::Matrix{ComplexF64}, msing::Int, N::Int, nMat::Int,
-                                      use_S_axis::Bool, ipert_all::Vector{Int}, col_edge,
-                                      ctrl, debug::Bool)
+    use_S_axis::Bool, ipert_all::Vector{Int}, col_edge,
+    ctrl, debug::Bool)
     s2 = 2 * msing
     Tc = (ctrl === nothing || ctrl.extended_precision_bvp) ? Complex{Double64} : ComplexF64
     M_solve = Tc.(M)
@@ -748,12 +756,12 @@ function _solve_bvp_and_combine_pest3(M::Matrix{ComplexF64}, msing::Int, N::Int,
         x = use_lu ? (M_lu \ b) : (M_pinv * b)
 
         debug && _log_bvp_solve(x, b, M_solve, jsing, side, dRow, msing, N,
-                                ipert_all, col_edge, use_S_axis)
+            ipert_all, col_edge, use_S_axis)
 
         for ksing in 1:msing
             ipert_k = ipert_all[ksing]
             dp_raw[dRow, 2ksing-1] = x[_col_left(ksing, N)[ipert_k+N]]
-            dp_raw[dRow, 2ksing]   = x[_col_right(ksing, N)[ipert_k+N]]
+            dp_raw[dRow, 2ksing] = x[_col_right(ksing, N)[ipert_k+N]]
         end
     end
 
@@ -773,7 +781,7 @@ end
 
 # Logging helpers for `compute_delta_prime_matrix!`. Called only when debug=true.
 function _log_bvp_setup(chunks, sing, S_at_surface_left, use_S_axis, has_ua,
-                        Phi_L_mats, Phi_R_mats, Phi_R_halves, ipert_all, wv, psio, N, msing)
+    Phi_L_mats, Phi_R_mats, Phi_R_halves, ipert_all, wv, psio, N, msing)
     @info "Δ' BVP: $(length(chunks)) chunks, $msing surfaces, N=$N"
     @info "Δ' BVP: Axis BC: $(use_S_axis ? "S-based (Riccati)" : "FM-based (conditioned)")"
     @info "Δ' BVP: Asymptotic basis: $(has_ua ? "available" : "NOT available (raw basis driving)")"
@@ -785,8 +793,8 @@ function _log_bvp_setup(chunks, sing, S_at_surface_left, use_S_axis, has_ua,
     if has_ua
         for j in 1:msing
             sp = sing[j]
-            T_l = [sp.ua_left[:,:,1]; sp.ua_left[:,:,2]]
-            T_r = [sp.ua_right[:,:,1]; sp.ua_right[:,:,2]]
+            T_l = [sp.ua_left[:, :, 1]; sp.ua_left[:, :, 2]]
+            T_r = [sp.ua_right[:, :, 1]; sp.ua_right[:, :, 2]]
             @info "  Surface $j: cond(T_left)=$(@sprintf("%.2e", cond(T_l))), cond(T_right)=$(@sprintf("%.2e", cond(T_r)))"
             ipert_j = ipert_all[j]
             @info "  Surface $j ua_left (ipert=$ipert_j, psi_ua_left=$(@sprintf("%.8f", sp.psi_ua_left))):"
@@ -796,7 +804,7 @@ function _log_bvp_setup(chunks, sing, S_at_surface_left, use_S_axis, has_ua,
             @info "    small: ua(1,$(ipert_j+N),1)=$(@sprintf("%16.8e %16.8e", real(sp.ua_left[1,ipert_j+N,1]), imag(sp.ua_left[1,ipert_j+N,1])))"
         end
     end
-    for j in 1:msing-1
+    for j in 1:(msing-1)
         Phi_L_h, Phi_R_h = Phi_R_halves[j]
         @info "  Inter-surface $j→$(j+1): half_L cond=$(@sprintf("%.2e",cond(Phi_L_h))), half_R cond=$(@sprintf("%.2e",cond(Phi_R_h))), full cond=$(@sprintf("%.2e",cond(Phi_R_mats[j+1])))"
     end
@@ -813,7 +821,7 @@ function _log_bvp_setup(chunks, sing, S_at_surface_left, use_S_axis, has_ua,
 end
 
 function _log_S_axis_shooting_propagators(uShootR, uShootL, uAxis, S_at_surface_left,
-                                          T_left_mats, ipert_all, has_ua, msing, N)
+    T_left_mats, ipert_all, has_ua, msing, N)
     @info "  Shooting propagators (S-based axis BC, no axis unknowns):"
     for j in 1:msing
         shoot_R_str = @sprintf("%.2e", cond(uShootR[j]))
@@ -823,7 +831,7 @@ function _log_S_axis_shooting_propagators(uShootR, uShootL, uAxis, S_at_surface_
     S1 = S_at_surface_left[1]
     if has_ua
         T1 = T_left_mats[1]
-        axis_BC = T1[1:N, :] - S1 * T1[N+1:2N, :]
+        axis_BC = T1[1:N, :] - S1 * T1[(N+1):2N, :]
         @info "    S-axis BC matrix: cond=$(@sprintf("%.2e", cond(axis_BC)))"
     end
     for j in 1:msing
@@ -837,7 +845,7 @@ function _log_S_axis_shooting_propagators(uShootR, uShootL, uAxis, S_at_surface_
             @info "    uShootL[$j] col ipert=$ipert_j norm=$(@sprintf("%.2e", col_norms_L[ipert_j])), col ipert+N=$(ipert_j+N) norm=$(@sprintf("%.2e", col_norms_L[ipert_j+N]))"
         end
     end
-    for j in 1:msing-1
+    for j in 1:(msing-1)
         mid_block = hcat(uShootR[j], -uShootL[j+1])
         @info "    Midpoint $j→$(j+1): cond([uShootR[$j] | -uShootL[$(j+1)]]) = $(@sprintf("%.2e", cond(mid_block)))"
         col_norms_Ljp1 = [norm(view(uShootL[j+1], :, k)) for k in 1:2N]
@@ -846,7 +854,7 @@ function _log_S_axis_shooting_propagators(uShootR, uShootL, uAxis, S_at_surface_
 end
 
 function _log_bvp_solve(x, b, M_solve, jsing, side, dRow, msing, N,
-                        ipert_all, col_edge, use_S_axis)
+    ipert_all, col_edge, use_S_axis)
     residual = norm(ComplexF64.(M_solve * x - b))
     side_str = side == 1 ? "left" : "right"
     @info "  BVP solve: jsing=$jsing side=$side_str (dRow=$dRow): ||Mx-b||=$(@sprintf("%.2e", residual)), ||x||=$(@sprintf("%.2e", Float64(norm(x))))"
@@ -854,9 +862,9 @@ function _log_bvp_solve(x, b, M_solve, jsing, side, dRow, msing, N,
         ipert_ks = ipert_all[ks]
         cl = _col_left(ks, N)
         cr = _col_right(ks, N)
-        xl_big   = ComplexF64(x[cl[ipert_ks]])
+        xl_big = ComplexF64(x[cl[ipert_ks]])
         xl_small = ComplexF64(x[cl[ipert_ks+N]])
-        xr_big   = ComplexF64(x[cr[ipert_ks]])
+        xr_big = ComplexF64(x[cr[ipert_ks]])
         xr_small = ComplexF64(x[cr[ipert_ks+N]])
         @info "    surf $ks: x_left[big]=$(@sprintf("%+.4e%+.4ei", real(xl_big), imag(xl_big))), x_left[small]=$(@sprintf("%+.4e%+.4ei", real(xl_small), imag(xl_small)))"
         @info "    surf $ks: x_right[big]=$(@sprintf("%+.4e%+.4ei", real(xr_big), imag(xr_big))), x_right[small]=$(@sprintf("%+.4e%+.4ei", real(xr_small), imag(xr_small)))"
@@ -870,7 +878,7 @@ end
 function _log_bvp_pest3(dp_raw, deltap, s2, msing, Tc)
     @info "Δ' BVP: Full dp_raw matrix ($(s2)×$(s2)) [$(Tc)]:"
     for i in 1:s2
-        row_str = join([@sprintf("%+.6e", Float64(real(dp_raw[i,j]))) for j in 1:s2], "  ")
+        row_str = join([@sprintf("%+.6e", Float64(real(dp_raw[i, j]))) for j in 1:s2], "  ")
         @info "  dp_raw[$i,:] = $row_str"
     end
     @info "Δ' BVP: Raw dp diagonal = $([@sprintf("%.4f%+.4fi", Float64(real(dp_raw[i,i])), Float64(imag(dp_raw[i,i]))) for i in 1:s2])"
@@ -930,8 +938,8 @@ function pest3_decompose(dp_raw::AbstractMatrix)
     for i in 1:m, j in 1:m
         LL = dp_raw[2i-1, 2j-1]
         LR = dp_raw[2i-1, 2j]
-        RL = dp_raw[2i,   2j-1]
-        RR = dp_raw[2i,   2j]
+        RL = dp_raw[2i, 2j-1]
+        RR = dp_raw[2i, 2j]
         Ap[i, j] = RR + RL + LR + LL
         Bp[i, j] = RR - RL + LR - LL
         Gp[i, j] = RR + RL - LR - LL
@@ -944,7 +952,7 @@ end
     riccati_der!(du, u, params, psieval)
 
 Evaluate the explicit dual Riccati ODE right-hand side:
-  dS/dψ = w†·F̄⁻¹·w - S·Ḡ·S,   w = Q - K̄·S
+dS/dψ = w†·F̄⁻¹·w - S·Ḡ·S,   w = Q - K̄·S
 
 where Q = diag(1/(m - n·q)) is the diagonal singular factor matrix.
 The identity slice u[:,:,2] = I does not evolve (du[:,:,2] = 0).
@@ -968,7 +976,7 @@ See: Glasser (2018) Phys. Plasmas 25, 032507 — Eq. 19 (dual Riccati form)
     _, equil, ffit, intr, odet, _ = params
 
     Npert = intr.numpert_total
-    S  = @view u[:, :, 1]
+    S = @view u[:, :, 1]
     dS = @view du[:, :, 1]
     @view(du[:, :, 2]) .= 0  # identity does not evolve
 
@@ -983,9 +991,9 @@ See: Glasser (2018) Phys. Plasmas 25, 032507 — Eq. 19 (dual Riccati form)
     fmat_lower = acquire!(pool, ComplexF64, Npert, Npert)
     kmat = similar!(pool, fmat_lower)
     gmat = similar!(pool, fmat_lower)
-    w    = similar!(pool, fmat_lower)  # w = Q - K̄·S
-    v    = similar!(pool, fmat_lower)  # v = F̄⁻¹·w (then reused for S·Ḡ·S)
-    tmp  = similar!(pool, fmat_lower)  # scratch
+    w = similar!(pool, fmat_lower)  # w = Q - K̄·S
+    v = similar!(pool, fmat_lower)  # v = F̄⁻¹·w (then reused for S·Ḡ·S)
+    tmp = similar!(pool, fmat_lower)  # scratch
 
     # Evaluate F̄ (Cholesky factor), K̄, Ḡ splines at current ψ
     ffit.fmats_lower(vec(fmat_lower), psieval; hint=ffit._hint)
@@ -1076,7 +1084,7 @@ function riccati_integrate_chunk!(
     cb = DiscreteCallback((u, t, integrator) -> true, riccati_integrator_callback!)
     rtol = ctrl.eulerlagrange_tolerance
     prob = ODEProblem(sing_der!, odet.u, (chunk.psi_start, chunk.psi_end),
-                      (ctrl, equil, ffit, intr, odet, chunk))
+        (ctrl, equil, ffit, intr, odet, chunk))
     sol = solve(prob, Vern9(); reltol=rtol, callback=cb, save_everystep=false, save_end=true)
     odet.u .= sol.u[end]
     odet.psifac = sol.t[end]
@@ -1094,8 +1102,8 @@ end
     renormalize_riccati!(odet, intr)
 
 After a singular surface crossing, restore the canonical Riccati storage convention:
-  u[:,:,1] = S_new = U₁_new · U₂_new⁻¹
-  u[:,:,2] = I
+u[:,:,1] = S_new = U₁_new · U₂_new⁻¹
+u[:,:,2] = I
 
 `riccati_cross_ideal_singular_surf!` leaves u[:,:,1] = U₁_new and u[:,:,2] = U₂_new (not I),
 so this step is required before continuing the Riccati integration.
@@ -1119,8 +1127,8 @@ end
     renormalize_riccati_inplace!(u, N)
 
 In-place Riccati renormalization on an arbitrary N×N×2 array:
-  u[:,:,1] = U₁ · U₂⁻¹  (new S)
-  u[:,:,2] = I
+u[:,:,1] = U₁ · U₂⁻¹  (new S)
+u[:,:,2] = I
 
 Used in `riccati_integrator_callback!` to renormalize the integrator's live state
 when column norms grow beyond `ctrl.ucrit`, analogous to Gaussian reduction in the
@@ -1142,14 +1150,14 @@ end
 Cross a singular surface for the Riccati formulation. Replaces `cross_ideal_singular_surf!`
 for the Riccati integration path with two key differences:
 
-1. **No Gaussian reduction**: `cross_ideal_singular_surf!` calls `compute_solution_norms!`
-   which applies Gaussian reduction to (S, I). This divides by pivot elements of S, which
-   can be near-zero (S = 0 at axis and grows slowly), producing NaN/Inf in U₂. For Riccati,
-   S is bounded so Gaussian reduction is unnecessary.
+ 1. **No Gaussian reduction**: `cross_ideal_singular_surf!` calls `compute_solution_norms!`
+    which applies Gaussian reduction to (S, I). This divides by pivot elements of S, which
+    can be near-zero (S = 0 at axis and grows slowly), producing NaN/Inf in U₂. For Riccati,
+    S is bounded so Gaussian reduction is unnecessary.
 
-2. **Direct column zeroing**: Instead of using the GR-sorted `odet.index` to identify the
-   column to zero, we use `ipert_res` directly (the resonant mode index). This is valid since
-   without GR there is no permutation applied to the columns of S.
+ 2. **Direct column zeroing**: Instead of using the GR-sorted `odet.index` to identify the
+    column to zero, we use `ipert_res` directly (the resonant mode index). This is valid since
+    without GR there is no permutation applied to the columns of S.
 
 **Δ' normalization**: This function expects `odet.u` in the bounded (U₁, U₂) form produced by
 `riccati_integrate_chunk!` with `needs_crossing=true` (final renorm skipped). ca_l is computed
@@ -1195,11 +1203,11 @@ Fortran STRIDE's separate vmatl/vmatr (sing_vmat). Alpha is taken from the right
 side and shared with the left.
 """
 function _two_sided_singular_asymptotics(singp::SingType, ctrl::ForceFreeStatesControl,
-                                         equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
-                                         intr::ForceFreeStatesInternal)
+    equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
+    intr::ForceFreeStatesInternal)
     sing_asymp_right = compute_sing_asymptotics(singp, ctrl, equil, ffit, intr; sig=1.0)
-    sing_asymp_left  = compute_sing_asymptotics(singp, ctrl, equil, ffit, intr; sig=-1.0,
-                                                alpha_override=sing_asymp_right.alpha)
+    sing_asymp_left = compute_sing_asymptotics(singp, ctrl, equil, ffit, intr; sig=-1.0,
+        alpha_override=sing_asymp_right.alpha)
     return sing_asymp_left, sing_asymp_right
 end
 
@@ -1219,7 +1227,7 @@ end
 
 # Capture left-side asymptotic data into odet.ca_l and singp.ua_left/psi_ua_left.
 function _capture_left_crossing_data!(odet::OdeState, singp::SingType, sing_asymp_left,
-                                      dpsi::Float64, intr::ForceFreeStatesInternal, ising::Int)
+    dpsi::Float64, intr::ForceFreeStatesInternal, ising::Int)
     ua = sing_get_ua(sing_asymp_left, dpsi)
     singp.ua_left = copy(ua)
     singp.psi_ua_left = odet.psifac
@@ -1231,9 +1239,9 @@ end
 # odet.psifac to the right side. The zeroed columns stay zero through the predictor
 # since du[:, ipert_res, :] = 0 when u[:, ipert_res, :] = 0.
 function _predict_across_singular_surface!(odet::OdeState, ctrl::ForceFreeStatesControl,
-                                           equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
-                                           intr::ForceFreeStatesInternal, ising::Int,
-                                           ipert_res, dpsi::Float64, sing_asymp_right)
+    equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
+    intr::ForceFreeStatesInternal, ising::Int,
+    ipert_res, dpsi::Float64, sing_asymp_right)
     if ctrl.kinetic_factor == 0
         for i in eachindex(sing_asymp_right.r1)
             odet.u[:, ipert_res[i], :] .= 0
@@ -1253,8 +1261,8 @@ end
 # Column ipert_res of [U₁_new; U₂_new] = ua[:, ipert_res+N, :] (the introduced small asymptotic),
 # so ca_r[ipert_res, ipert_res, 2] = 1 regardless of other columns' normalization.
 function _capture_right_crossing_data!(odet::OdeState, singp::SingType, sing_asymp_right,
-                                       dpsi::Float64, intr::ForceFreeStatesInternal, ising::Int,
-                                       ipert_res, ctrl::ForceFreeStatesControl)
+    dpsi::Float64, intr::ForceFreeStatesInternal, ising::Int,
+    ipert_res, ctrl::ForceFreeStatesControl)
     ua = sing_get_ua(sing_asymp_right, dpsi)
     singp.ua_right = copy(ua)
     singp.psi_ua_right = odet.psifac
@@ -1270,9 +1278,9 @@ end
 # STUB: per-surface ca-based Δ' (not physically valid; see SingType.delta_prime docstring).
 # The canonical Δ' is intr.delta_prime_matrix from compute_delta_prime_matrix!.
 function _stash_per_surface_delta_prime_stub!(odet::OdeState, intr::ForceFreeStatesInternal,
-                                              ising::Int, ipert_res, sing_asymp_right,
-                                              equil::Equilibrium.PlasmaEquilibrium,
-                                              ctrl::ForceFreeStatesControl)
+    ising::Int, ipert_res, sing_asymp_right,
+    equil::Equilibrium.PlasmaEquilibrium,
+    ctrl::ForceFreeStatesControl)
     ctrl.kinetic_factor == 0 || return
     denom = (2π)^2 * equil.psio
     n_res = length(sing_asymp_right.r1)
@@ -1323,8 +1331,8 @@ function integrate_propagator_chunk!(
     # naturally. The resulting propagator maps state at psi_end → psi_start, which is
     # well-conditioned because exponentially growing solutions (forward) decay backward.
     tspan = chunk.direction == 1 ?
-        (chunk.psi_start, chunk.psi_end) :
-        (chunk.psi_end,   chunk.psi_start)
+            (chunk.psi_start, chunk.psi_end) :
+            (chunk.psi_end, chunk.psi_start)
     rtol = ctrl.eulerlagrange_tolerance
     params = (ctrl, equil, ffit, intr, odet_proxy, chunk)
 
@@ -1378,12 +1386,12 @@ function integrate_fm_with_ua_ic(
     equil::Equilibrium.PlasmaEquilibrium,
     ffit::FourFitVars,
     intr::ForceFreeStatesInternal;
-    backward::Bool = false,
-    psi_ua::Float64 = NaN
+    backward::Bool=false,
+    psi_ua::Float64=NaN
 )
     N = intr.numpert_total
     psi_start = chunks[first(chunk_range)].psi_start
-    psi_end   = chunks[last(chunk_range)].psi_end
+    psi_end = chunks[last(chunk_range)].psi_end
     # Use stored ua ψ location if provided; otherwise fall back to chunk boundary.
     # The ua is evaluated at the inner-layer boundary (exact ψ from singular crossing),
     # which may differ slightly from the nearest chunk boundary.
@@ -1409,18 +1417,18 @@ function integrate_fm_with_ua_ic(
     odet_proxy.ffit_hint[] = 1
     prob = ODEProblem(sing_der!, u0, tspan, params)
     sol = solve(prob, Vern9(); reltol=rtol, save_everystep=false, save_end=true)
-    result[1:N, 1:N]     .= sol.u[end][:, :, 1]
-    result[N+1:2N, 1:N]  .= sol.u[end][:, :, 2]
+    result[1:N, 1:N] .= sol.u[end][:, :, 1]
+    result[(N+1):2N, 1:N] .= sol.u[end][:, :, 2]
 
     # Batch 2: columns N+1:2N of T (small solutions)
-    u0[:, :, 1] .= ua[:, N+1:2N, 1]
-    u0[:, :, 2] .= ua[:, N+1:2N, 2]
+    u0[:, :, 1] .= ua[:, (N+1):2N, 1]
+    u0[:, :, 2] .= ua[:, (N+1):2N, 2]
     odet_proxy.spline_hint[] = 1
     odet_proxy.ffit_hint[] = 1
     prob = ODEProblem(sing_der!, u0, tspan, params)
     sol = solve(prob, Vern9(); reltol=rtol, save_everystep=false, save_end=true)
-    result[1:N, N+1:2N]     .= sol.u[end][:, :, 1]
-    result[N+1:2N, N+1:2N]  .= sol.u[end][:, :, 2]
+    result[1:N, (N+1):2N] .= sol.u[end][:, :, 1]
+    result[(N+1):2N, (N+1):2N] .= sol.u[end][:, :, 2]
 
     return result
 end
@@ -1432,8 +1440,8 @@ Apply the chunk propagator `prop` to the current state `odet.u` in-place.
 
 The propagator acts as a linear map on the (U₁, U₂) pair:
 
-  U₁_new = block_upper_ic[:,:,1] · U₁_prev + block_lower_ic[:,:,1] · U₂_prev
-  U₂_new = block_upper_ic[:,:,2] · U₁_prev + block_lower_ic[:,:,2] · U₂_prev
+U₁_new = block_upper_ic[:,:,1] · U₁_prev + block_lower_ic[:,:,1] · U₂_prev
+U₂_new = block_upper_ic[:,:,2] · U₁_prev + block_lower_ic[:,:,2] · U₂_prev
 
 This correctly propagates any state (not just the identity), including the
 (S, I) form produced by Riccati-style crossings.
@@ -1488,10 +1496,10 @@ function apply_propagator_inverse!(odet::OdeState, prop::ChunkPropagator)
     # Φ_bwd maps state at psi_end → psi_start (well-conditioned).
     # We want Φ_fwd = Φ_bwd⁻¹ to advance state from psi_start → psi_end.
     # Solving Φ_bwd · x = [U₁_old; U₂_old] gives x = Φ_bwd⁻¹ · [U₁_old; U₂_old].
-    u_old = [odet.u[:,:,1]; odet.u[:,:,2]]   # 2N × N
+    u_old = [odet.u[:, :, 1]; odet.u[:, :, 2]]   # 2N × N
     u_new = Φ \ u_old                         # LU solve, 2N × N
-    odet.u[:,:,1] .= u_new[1:N, :]
-    odet.u[:,:,2] .= u_new[N+1:2N, :]
+    odet.u[:, :, 1] .= u_new[1:N, :]
+    odet.u[:, :, 2] .= u_new[(N+1):2N, :]
 end
 
 """
@@ -1504,33 +1512,34 @@ this is the only branch that produces them.
 Solves the same system as [`forward_eulerlagrange_integration`](@ref), but integrates all bulk
 chunks concurrently using `Threads.@threads`, then re-integrates the outer plasma serially:
 
-1. **Chunk generation**: calls `chunk_el_integration_bounds`, then `balance_integration_chunks`
-   to sub-divide chunks for load balancing. The chunk count depends only on `intr.msing` and
-   `ctrl.nchunks`, never on the thread count, so results are thread-independent.
-2. **Propagator phase**: `integrate_propagator_chunk!` integrates each chunk independently
-   from identity initial conditions (no accumulated state, no normalization/callback).
-   Each thread uses a private `OdeState` proxy for `sing_der!` side effects.
-3. **Serial assembly**: propagators are applied sequentially with `apply_propagator!`.
-   Rational surface crossings use `riccati_cross_ideal_singular_surf!` (no Gaussian
-   reduction).
-4. **Outer plasma re-integration**: after the last rational surface crossing, the outer
-   plasma (from last ψ_s to psilim) is re-integrated using `riccati_integrate_chunk!`.
-   FM propagation in this region is prone to precision loss for high N (exponential growth
-   without renormalization); Riccati integration keeps matrices bounded and provides dense
-   checkpoints for `findmax_dW_edge!`.
+ 1. **Chunk generation**: calls `chunk_el_integration_bounds`, then `balance_integration_chunks`
+    to sub-divide chunks for load balancing. The chunk count depends only on `intr.msing` and
+    `ctrl.nchunks`, never on the thread count, so results are thread-independent.
+ 2. **Propagator phase**: `integrate_propagator_chunk!` integrates each chunk independently
+    from identity initial conditions (no accumulated state, no normalization/callback).
+    Each thread uses a private `OdeState` proxy for `sing_der!` side effects.
+ 3. **Serial assembly**: propagators are applied sequentially with `apply_propagator!`.
+    Rational surface crossings use `riccati_cross_ideal_singular_surf!` (no Gaussian
+    reduction).
+ 4. **Outer plasma re-integration**: after the last rational surface crossing, the outer
+    plasma (from last ψ_s to psilim) is re-integrated using `riccati_integrate_chunk!`.
+    FM propagation in this region is prone to precision loss for high N (exponential growth
+    without renormalization); Riccati integration keeps matrices bounded and provides dense
+    checkpoints for `findmax_dW_edge!`.
 
 Select via `integrator = "riccati"` in `[ForceFreeStates]` of gpec.toml. Requires
 `singfac_min != 0`. Uses whatever threads `julia -t` provides; `ctrl.nchunks` is the only
 tunable.
 
 **Key differences from the forward integrator:**
-- No Gaussian reduction in the propagator BVP phase (crossings use the
-  Riccati-style algorithm, `odet.ifix` stays 0)
-- `transform_u!` is called on the odet but is a no-op (ifix=0)
-- Outer plasma uses serial Riccati integration for numerical stability
-- `odet.u_store` holds chunk-endpoint Riccati states, not dense Euler-Lagrange ξ, and
-  `odet.u_store_el_basis` stays `false`: this integrator never claims the EL basis, so
-  PerturbedEquilibrium and the HDF5 forward-integration ξ datasets require the forward path.
+
+  - No Gaussian reduction in the propagator BVP phase (crossings use the
+    Riccati-style algorithm, `odet.ifix` stays 0)
+  - `transform_u!` is called on the odet but is a no-op (ifix=0)
+  - Outer plasma uses serial Riccati integration for numerical stability
+  - `odet.u_store` holds chunk-endpoint Riccati states, not dense Euler-Lagrange ξ, and
+    `odet.u_store_el_basis` stays `false`: this integrator never claims the EL basis, so
+    PerturbedEquilibrium and the HDF5 forward-integration ξ datasets require the forward path.
 
 **Bidirectional integration for large-N accuracy:**
 The crossing chunk (nearest to each rational surface singL[j]) is integrated *backward*
@@ -1577,9 +1586,9 @@ end
 
 # Build odet and initialize at the magnetic axis. Same path as serial eulerlagrange_integration.
 function _initialize_parallel_odet(ctrl::ForceFreeStatesControl,
-                                   equil::Equilibrium.PlasmaEquilibrium,
-                                   ffit::FourFitVars,
-                                   intr::ForceFreeStatesInternal)
+    equil::Equilibrium.PlasmaEquilibrium,
+    ffit::FourFitVars,
+    intr::ForceFreeStatesInternal)
     odet = OdeState(intr.numpert_total, ctrl.numsteps_init, ctrl.numunorms_init, intr.msing)
     if ctrl.sing_start <= 0
         initialize_el_at_axis!(odet, ctrl, ffit, equil.profiles, intr)
@@ -1598,7 +1607,7 @@ end
 # per-thread proxy OdeStates sized by maxthreadid() (Julia 1.9+ may report threadid
 # values above nthreads() due to the interactive thread pool).
 function _setup_parallel_chunks_and_proxies(odet::OdeState, ctrl::ForceFreeStatesControl,
-                                            intr::ForceFreeStatesInternal)
+    intr::ForceFreeStatesInternal)
     # Bidirectional chunks: crossing chunks are assigned direction=-1 so they are
     # integrated backward. The resulting Φ_bwd is well-conditioned because growing EL
     # solutions decay backward; forward propagation is recovered via LU solve in
@@ -1612,8 +1621,8 @@ function _setup_parallel_chunks_and_proxies(odet::OdeState, ctrl::ForceFreeState
 end
 
 function _log_parallel_start(ctrl::ForceFreeStatesControl, odet::OdeState,
-                             equil::Equilibrium.PlasmaEquilibrium,
-                             chunks::Vector{IntegrationChunk})
+    equil::Equilibrium.PlasmaEquilibrium,
+    chunks::Vector{IntegrationChunk})
     ctrl.verbose || return
     @info "   ψ = $((@sprintf "%.3f" odet.psifac)),  q = $((@sprintf "%.3f" equil.profiles.q_spline(odet.psifac)))"
     @info "   Riccati FM: $(length(chunks)) chunks over $(Threads.nthreads()) thread$(Threads.nthreads() == 1 ? "" : "s")"
@@ -1624,14 +1633,14 @@ end
 # Each chunk is independent (identity IC, no accumulated state), so the result does not
 # depend on how chunks are distributed across threads.
 function _run_parallel_bvp_phase!(propagators::Vector{ChunkPropagator},
-                                  chunks::Vector{IntegrationChunk},
-                                  ctrl::ForceFreeStatesControl,
-                                  equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
-                                  intr::ForceFreeStatesInternal,
-                                  odet_proxies::Vector{OdeState})
+    chunks::Vector{IntegrationChunk},
+    ctrl::ForceFreeStatesControl,
+    equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
+    intr::ForceFreeStatesInternal,
+    odet_proxies::Vector{OdeState})
     Threads.@threads :static for i in eachindex(chunks)
         integrate_propagator_chunk!(propagators[i], chunks[i], ctrl, equil, ffit, intr,
-                                    odet_proxies[Threads.threadid()])
+            odet_proxies[Threads.threadid()])
     end
 end
 
@@ -1643,10 +1652,10 @@ end
 # the well-conditioned Riccati S at each surface's left boundary for use as the Δ' BVP
 # axis BC. Returns (S_at_surface_left, last_crossing_step).
 function _assemble_propagators_serially!(odet::OdeState, propagators::Vector{ChunkPropagator},
-                                         chunks::Vector{IntegrationChunk},
-                                         ctrl::ForceFreeStatesControl,
-                                         equil::Equilibrium.PlasmaEquilibrium,
-                                         ffit::FourFitVars, intr::ForceFreeStatesInternal)
+    chunks::Vector{IntegrationChunk},
+    ctrl::ForceFreeStatesControl,
+    equil::Equilibrium.PlasmaEquilibrium,
+    ffit::FourFitVars, intr::ForceFreeStatesInternal)
     N = intr.numpert_total
     S_at_surface_left = Matrix{ComplexF64}[]
     last_crossing_step = 1
@@ -1693,9 +1702,9 @@ end
 # entry at last_crossing_step holds (U₁_new, U₂_new) from riccati_cross_ideal_singular_surf!
 # before renormalization; we renorm here to (S_new, I) as the Riccati starting state.
 function _reintegrate_outer_plasma!(odet::OdeState, last_crossing_step::Int,
-                                    ctrl::ForceFreeStatesControl,
-                                    equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
-                                    intr::ForceFreeStatesInternal)
+    ctrl::ForceFreeStatesControl,
+    equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
+    intr::ForceFreeStatesInternal)
     N = intr.numpert_total
     odet.u .= odet.u_store[:, :, :, last_crossing_step]
     odet.psifac = odet.psi_store[last_crossing_step]
@@ -1703,7 +1712,7 @@ function _reintegrate_outer_plasma!(odet::OdeState, last_crossing_step::Int,
     odet.step = last_crossing_step + 1
     renormalize_riccati_inplace!(odet.u, N)
     outer_chunk = IntegrationChunk(; psi_start=odet.psifac, psi_end=intr.psilim * (1 - eps),
-                                   needs_crossing=false, ising=0)
+        needs_crossing=false, ising=0)
     riccati_integrate_chunk!(odet, ctrl, equil, ffit, intr, outer_chunk)
     # Post: odet.u is in (S, I) form; odet.step points to next empty slot.
 end
@@ -1717,10 +1726,10 @@ end
 # original psilim — silently shifting the outermost rational's Δ' by tens of percent.
 # Returns the (possibly truncated) chunks and propagators arrays.
 function _handle_edge_dW_scan!(odet::OdeState, chunks::Vector{IntegrationChunk},
-                               propagators::Vector{ChunkPropagator},
-                               ctrl::ForceFreeStatesControl,
-                               equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
-                               intr::ForceFreeStatesInternal)
+    propagators::Vector{ChunkPropagator},
+    ctrl::ForceFreeStatesControl,
+    equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
+    intr::ForceFreeStatesInternal)
     N = intr.numpert_total
     odet.step -= 1
     trim_storage!(odet)
@@ -1754,22 +1763,22 @@ function _handle_edge_dW_scan!(odet::OdeState, chunks::Vector{IntegrationChunk},
     end
     straddling = chunks[last_chunk_idx]
     if straddling.psi_end > peak_psi
-        new_chunk = IntegrationChunk(
-            psi_start = straddling.psi_start,
-            psi_end   = peak_psi,
-            needs_crossing = straddling.needs_crossing,
-            ising     = straddling.ising,
-            direction = straddling.direction,
+        new_chunk = IntegrationChunk(;
+            psi_start=straddling.psi_start,
+            psi_end=peak_psi,
+            needs_crossing=straddling.needs_crossing,
+            ising=straddling.ising,
+            direction=straddling.direction
         )
         chunks[last_chunk_idx] = new_chunk
         odet_proxy = OdeState(N, 1, 1, 0)
         integrate_propagator_chunk!(propagators[last_chunk_idx], new_chunk,
-                                    ctrl, equil, ffit, intr, odet_proxy)
+            ctrl, equil, ffit, intr, odet_proxy)
     end
     n_dropped = 0
     if last_chunk_idx < length(chunks)
         n_dropped = length(chunks) - last_chunk_idx
-        chunks      = chunks[1:last_chunk_idx]
+        chunks = chunks[1:last_chunk_idx]
         propagators = propagators[1:last_chunk_idx]
     end
     if ctrl.verbose
diff --git a/src/ForceFreeStates/Sing.jl b/src/ForceFreeStates/Sing.jl
index 960530f6a..33694477a 100644
--- a/src/ForceFreeStates/Sing.jl
+++ b/src/ForceFreeStates/Sing.jl
@@ -123,9 +123,11 @@ function sing_lim!(intr::ForceFreeStatesInternal, ctrl::ForceFreeStatesControl,
     # strategy. Multi-n runs are not supported — the "outermost rational + dmlim/n" cutoff depends
     # on which n is used — and fall back to qhigh / psihigh truncation with a warning.
     if ctrl.set_psilim_via_dmlim && intr.nlow <= 0
-        error("sing_lim!: set_psilim_via_dmlim = true requires a resolved toroidal range, but got intr.nlow=$(intr.nlow). " *
-              "Assign intr.nlow / intr.nhigh (from ctrl.nn_low / ctrl.nn_high) before calling sing_lim!, " *
-              "or set set_psilim_via_dmlim = false to truncate via qhigh / psihigh instead.")
+        error(
+            "sing_lim!: set_psilim_via_dmlim = true requires a resolved toroidal range, but got intr.nlow=$(intr.nlow). " *
+            "Assign intr.nlow / intr.nhigh (from ctrl.nn_low / ctrl.nn_high) before calling sing_lim!, " *
+            "or set set_psilim_via_dmlim = false to truncate via qhigh / psihigh instead."
+        )
     elseif ctrl.set_psilim_via_dmlim && intr.nlow != intr.nhigh
         @warn "set_psilim_via_dmlim = true is ignored for multi-n runs (nn_low=$(intr.nlow), nn_high=$(intr.nhigh)); falling back to qhigh / psihigh truncation."
     elseif ctrl.set_psilim_via_dmlim
diff --git a/src/ForcingTerms/BiotSavart.jl b/src/ForcingTerms/BiotSavart.jl
index c03ab07c6..cd0bbb79e 100644
--- a/src/ForcingTerms/BiotSavart.jl
+++ b/src/ForcingTerms/BiotSavart.jl
@@ -45,27 +45,30 @@ Build contiguous segment-vector and midpoint arrays for strand `(j,k)` of coil s
 function precompute_segments(cs::CoilSet, j::Int, k::Int, current_nw::Float64)
     nsec = cs.nsec
     nseg = nsec - 1
-    dlx  = Vector{Float64}(undef, nseg)
-    dly  = Vector{Float64}(undef, nseg)
-    dlz  = Vector{Float64}(undef, nseg)
+    dlx = Vector{Float64}(undef, nseg)
+    dly = Vector{Float64}(undef, nseg)
+    dlz = Vector{Float64}(undef, nseg)
     midx = Vector{Float64}(undef, nseg)
     midy = Vector{Float64}(undef, nseg)
     midz = Vector{Float64}(undef, nseg)
 
     @inbounds for l in 1:nseg
-        x1 = cs.x[j, k, l];   x2 = cs.x[j, k, l+1]
-        y1 = cs.y[j, k, l];   y2 = cs.y[j, k, l+1]
-        z1 = cs.z[j, k, l];   z2 = cs.z[j, k, l+1]
-        dlx[l]  = x2 - x1
-        dly[l]  = y2 - y1
-        dlz[l]  = z2 - z1
+        x1 = cs.x[j, k, l]
+        x2 = cs.x[j, k, l+1]
+        y1 = cs.y[j, k, l]
+        y2 = cs.y[j, k, l+1]
+        z1 = cs.z[j, k, l]
+        z2 = cs.z[j, k, l+1]
+        dlx[l] = x2 - x1
+        dly[l] = y2 - y1
+        dlz[l] = z2 - z1
         midx[l] = (x1 + x2) * 0.5
         midy[l] = (y1 + y2) * 0.5
         midz[l] = (z1 + z2) * 0.5
     end
 
     return PrecomputedSegments(dlx, dly, dlz, midx, midy, midz,
-                               MU0_OVER_4PI * current_nw, nseg)
+        MU0_OVER_4PI * current_nw, nseg)
 end
 
 """
@@ -74,15 +77,16 @@ end
 Accumulate the Biot-Savart contribution from one conductor strand onto observation point `i`.
 
 Uses midpoint-rule integration: each segment from point `l` to `l+1` contributes:
-  dB = μ₀/(4π) × current_nw × (dl⃗ × r⃗) / |r|³
+dB = μ₀/(4π) × current_nw × (dl⃗ × r⃗) / |r|³
 where `r⃗` is the displacement from the segment midpoint to the observer.
 
 ## Arguments
-- `Bx`, `By`, `Bz`: pre-allocated output arrays (Cartesian field, Tesla); updated in-place
-- `i`: observation point index
-- `obs_x/y/z`: observer Cartesian coordinates [m]
-- `xs`, `ys`, `zs`: strand point coordinates [nsec], Cartesian [m]
-- `current_nw`: effective current = I × nw [A⋅turns]
+
+  - `Bx`, `By`, `Bz`: pre-allocated output arrays (Cartesian field, Tesla); updated in-place
+  - `i`: observation point index
+  - `obs_x/y/z`: observer Cartesian coordinates [m]
+  - `xs`, `ys`, `zs`: strand point coordinates [nsec], Cartesian [m]
+  - `current_nw`: effective current = I × nw [A⋅turns]
 """
 function accumulate_strand_field!(
     Bx::AbstractVector{Float64},
@@ -98,7 +102,7 @@ function accumulate_strand_field!(
     nsec = length(xs)
     prefactor = MU0_OVER_4PI * current_nw
 
-    @inbounds for l in 1:(nsec - 1)
+    @inbounds for l in 1:(nsec-1)
         # Segment vector dl⃗
         dlx = xs[l+1] - xs[l]
         dly = ys[l+1] - ys[l]
@@ -109,7 +113,7 @@ function accumulate_strand_field!(
         ry = obs_y - (ys[l] + ys[l+1]) * 0.5
         rz = obs_z - (zs[l] + zs[l+1]) * 0.5
 
-        r2  = rx*rx + ry*ry + rz*rz
+        r2 = rx*rx + ry*ry + rz*rz
         r2 < BIOT_SAVART_MIN_DIST_SQ && continue  # avoid singularity (observer on conductor)
         inv_r3 = prefactor / (r2 * sqrt(r2))
 
@@ -146,8 +150,8 @@ cache efficiency.
         r2 = rx*rx + ry*ry + rz*rz
         # Guard: zero contribution if observer is on conductor (avoids Inf/NaN)
         safe_r2 = ifelse(r2 < BIOT_SAVART_MIN_DIST_SQ, one(r2), r2)
-        scale   = ifelse(r2 < BIOT_SAVART_MIN_DIST_SQ, zero(pf), pf)
-        inv_r3  = scale / (safe_r2 * sqrt(safe_r2))
+        scale = ifelse(r2 < BIOT_SAVART_MIN_DIST_SQ, zero(pf), pf)
+        inv_r3 = scale / (safe_r2 * sqrt(safe_r2))
 
         bx_acc += (seg.dly[l]*rz - seg.dlz[l]*ry) * inv_r3
         by_acc += (seg.dlz[l]*rx - seg.dlx[l]*rz) * inv_r3
@@ -172,9 +176,10 @@ Performance: segment vectors and midpoints are pre-computed once outside the
 observation-point loop, then accessed from contiguous arrays in the inner kernel.
 
 ## Arguments
-- `B_R`, `B_phi`, `B_Z`: output field arrays [Tesla], length `nobs`; overwritten
-- `obs_R`, `obs_phi`, `obs_Z`: observation point cylindrical coordinates [m, rad, m]
-- `coil_sets`: conductor geometry and current data
+
+  - `B_R`, `B_phi`, `B_Z`: output field arrays [Tesla], length `nobs`; overwritten
+  - `obs_R`, `obs_phi`, `obs_Z`: observation point cylindrical coordinates [m, rad, m]
+  - `coil_sets`: conductor geometry and current data
 """
 function compute_biot_savart_boundary!(
     B_R::AbstractVector{Float64},
@@ -204,8 +209,8 @@ function compute_biot_savart_boundary!(
     # Pre-compute sincos for cylindrical ↔ Cartesian conversion (avoids redundant trig)
     cos_phi = Vector{Float64}(undef, nobs)
     sin_phi = Vector{Float64}(undef, nobs)
-    obs_x   = Vector{Float64}(undef, nobs)
-    obs_y   = Vector{Float64}(undef, nobs)
+    obs_x = Vector{Float64}(undef, nobs)
+    obs_y = Vector{Float64}(undef, nobs)
 
     @inbounds for i in 1:nobs
         sp, cp = sincos(obs_phi[i])
@@ -218,7 +223,9 @@ function compute_biot_savart_boundary!(
     # Each thread writes exclusively to its own index i — no synchronization needed
     Threads.@threads for i in 1:nobs
         @inbounds begin
-            ox = obs_x[i]; oy = obs_y[i]; oz = obs_Z[i]
+            ox = obs_x[i]
+            oy = obs_y[i]
+            oz = obs_Z[i]
             bx_total = 0.0
             by_total = 0.0
             bz_total = 0.0
@@ -233,9 +240,9 @@ function compute_biot_savart_boundary!(
             # Convert Cartesian → cylindrical in-place
             cp = cos_phi[i]
             sp = sin_phi[i]
-            B_R[i]   =  bx_total * cp + by_total * sp
+            B_R[i] = bx_total * cp + by_total * sp
             B_phi[i] = -bx_total * sp + by_total * cp
-            B_Z[i]   =  bz_total
+            B_Z[i] = bz_total
         end
     end
 end
diff --git a/src/ForcingTerms/CoilGeometry.jl b/src/ForcingTerms/CoilGeometry.jl
index b2d19ab21..477502927 100644
--- a/src/ForcingTerms/CoilGeometry.jl
+++ b/src/ForcingTerms/CoilGeometry.jl
@@ -265,7 +265,7 @@ function read_coil_dat(filepath::String)
             for l in 1:nsec
                 # Skip blank/comment lines between data rows
                 while row <= length(lines) &&
-                    (isempty(strip(lines[row])) || startswith(strip(lines[row]), "#"))
+                      (isempty(strip(lines[row])) || startswith(strip(lines[row]), "#"))
                     row += 1
                 end
                 row > length(lines) && error(
@@ -402,10 +402,12 @@ function make_window_pane_standoff(equil; standoff::Real, poloidal_angle::Real,
     # boundary along the normal is standoff - half*|sin(tilt)| — the tilt tips the legs toward the
     # surface, while tangential displacement leaves the normal clearance unchanged.
     clearance = standoff - half * abs(sin(deg2rad(poloidal_tilt)))
-    clearance > 0 || error("make_window_pane_standoff: coil intersects the plasma boundary " *
-                           "(standoff=$standoff, poloidal_length=$poloidal_length, poloidal_tilt=$poloidal_tilt); " *
-                           "an external coil must lie outside the control surface — increase standoff or reduce " *
-                           "poloidal_length/poloidal_tilt")
+    clearance > 0 || error(
+        "make_window_pane_standoff: coil intersects the plasma boundary " *
+        "(standoff=$standoff, poloidal_length=$poloidal_length, poloidal_tilt=$poloidal_tilt); " *
+        "an external coil must lie outside the control surface — increase standoff or reduce " *
+        "poloidal_length/poloidal_tilt"
+    )
 
     c1 = [Rc - half * uR, Zc - half * uZ]
     c2 = [Rc + half * uR, Zc + half * uZ]
diff --git a/src/ForcingTerms/coil_geometries/jet_ex_mid.dat b/src/ForcingTerms/coil_geometries/jet_ex_mid.dat
index ea2549ad3..639e8ca41 100644
--- a/src/ForcingTerms/coil_geometries/jet_ex_mid.dat
+++ b/src/ForcingTerms/coil_geometries/jet_ex_mid.dat
@@ -1,169 +1,169 @@
-    4    1   42     1.00 
-   5.5000e+00  0.0000e+00   3.0900e+00 
-   5.4795e+00  4.7404e-01   3.0900e+00 
-   5.4183e+00  9.4456e-01   3.0900e+00 
-   5.3167e+00  1.4080e+00   3.0900e+00 
-   5.1756e+00  1.8611e+00   3.0900e+00 
-   4.9959e+00  2.3002e+00   3.0900e+00 
-   4.7791e+00  2.7222e+00   3.0900e+00 
-   4.5266e+00  3.1240e+00   3.0900e+00 
-   4.2405e+00  3.5025e+00   3.0900e+00 
-   3.9229e+00  3.8550e+00   3.0900e+00 
-   3.5760e+00  4.1788e+00   3.0900e+00 
-   3.2025e+00  4.4714e+00   3.0900e+00 
-   2.8052e+00  4.7308e+00   3.0900e+00 
-   2.3870e+00  4.9550e+00   3.0900e+00 
-   1.9511e+00  5.1423e+00   3.0900e+00 
-   1.5006e+00  5.2913e+00   3.0900e+00 
-   1.0390e+00  5.4010e+00   3.0900e+00 
-   5.6960e-01  5.4704e+00   3.0900e+00 
-   9.5988e-02  5.4992e+00   3.0900e+00 
-   9.5988e-02  5.4992e+00   3.0900e+00 
-   9.5988e-02  5.4992e+00   1.5700e+00 
-   9.5988e-02  5.4992e+00   5.0000e-02 
-   9.5988e-02  5.4992e+00  -1.4700e+00 
-   9.5988e-02  5.4992e+00  -2.9900e+00 
-   7.0430e-01  5.4547e+00  -2.9900e+00 
-   1.3039e+00  5.3432e+00  -2.9900e+00 
-   1.8876e+00  5.1660e+00  -2.9900e+00 
-   2.4479e+00  4.9252e+00  -2.9900e+00 
-   2.9782e+00  4.6239e+00  -2.9900e+00 
-   3.4719e+00  4.2657e+00  -2.9900e+00 
-   3.9229e+00  3.8550e+00  -2.9900e+00 
-   4.3256e+00  3.3969e+00  -2.9900e+00 
-   4.6751e+00  2.8971e+00  -2.9900e+00 
-   4.9672e+00  2.3616e+00  -2.9900e+00 
-   5.1981e+00  1.7971e+00  -2.9900e+00 
-   5.3651e+00  1.2105e+00  -2.9900e+00 
-   5.4662e+00  6.0899e-01  -2.9900e+00 
-   5.5000e+00  0.0000e+00  -2.9900e+00 
-   5.5000e+00  0.0000e+00  -1.4700e+00 
-   5.5000e+00  0.0000e+00   5.0000e-02 
-   5.5000e+00  0.0000e+00   1.5700e+00 
-   5.5000e+00  0.0000e+00   3.0900e+00 
-   3.3678e-16  5.5000e+00   3.0900e+00 
-  -4.7404e-01  5.4795e+00   3.0900e+00 
-  -9.4456e-01  5.4183e+00   3.0900e+00 
-  -1.4080e+00  5.3167e+00   3.0900e+00 
-  -1.8611e+00  5.1756e+00   3.0900e+00 
-  -2.3002e+00  4.9959e+00   3.0900e+00 
-  -2.7222e+00  4.7791e+00   3.0900e+00 
-  -3.1240e+00  4.5266e+00   3.0900e+00 
-  -3.5025e+00  4.2405e+00   3.0900e+00 
-  -3.8550e+00  3.9229e+00   3.0900e+00 
-  -4.1788e+00  3.5760e+00   3.0900e+00 
-  -4.4714e+00  3.2025e+00   3.0900e+00 
-  -4.7308e+00  2.8052e+00   3.0900e+00 
-  -4.9550e+00  2.3870e+00   3.0900e+00 
-  -5.1423e+00  1.9511e+00   3.0900e+00 
-  -5.2913e+00  1.5006e+00   3.0900e+00 
-  -5.4010e+00  1.0390e+00   3.0900e+00 
-  -5.4704e+00  5.6960e-01   3.0900e+00 
-  -5.4992e+00  9.5988e-02   3.0900e+00 
-  -5.4992e+00  9.5988e-02   3.0900e+00 
-  -5.4992e+00  9.5988e-02   1.5700e+00 
-  -5.4992e+00  9.5988e-02   5.0000e-02 
-  -5.4992e+00  9.5988e-02  -1.4700e+00 
-  -5.4992e+00  9.5988e-02  -2.9900e+00 
-  -5.4547e+00  7.0430e-01  -2.9900e+00 
-  -5.3432e+00  1.3039e+00  -2.9900e+00 
-  -5.1660e+00  1.8876e+00  -2.9900e+00 
-  -4.9252e+00  2.4479e+00  -2.9900e+00 
-  -4.6239e+00  2.9782e+00  -2.9900e+00 
-  -4.2657e+00  3.4719e+00  -2.9900e+00 
-  -3.8550e+00  3.9229e+00  -2.9900e+00 
-  -3.3969e+00  4.3256e+00  -2.9900e+00 
-  -2.8971e+00  4.6751e+00  -2.9900e+00 
-  -2.3616e+00  4.9672e+00  -2.9900e+00 
-  -1.7971e+00  5.1981e+00  -2.9900e+00 
-  -1.2105e+00  5.3651e+00  -2.9900e+00 
-  -6.0899e-01  5.4662e+00  -2.9900e+00 
-   3.3678e-16  5.5000e+00  -2.9900e+00 
-   3.3678e-16  5.5000e+00  -1.4700e+00 
-   3.3678e-16  5.5000e+00   5.0000e-02 
-   3.3678e-16  5.5000e+00   1.5700e+00 
-   3.3678e-16  5.5000e+00   3.0900e+00 
-  -5.5000e+00  6.7356e-16   3.0900e+00 
-  -5.4795e+00 -4.7404e-01   3.0900e+00 
-  -5.4183e+00 -9.4456e-01   3.0900e+00 
-  -5.3167e+00 -1.4080e+00   3.0900e+00 
-  -5.1756e+00 -1.8611e+00   3.0900e+00 
-  -4.9959e+00 -2.3002e+00   3.0900e+00 
-  -4.7791e+00 -2.7222e+00   3.0900e+00 
-  -4.5266e+00 -3.1240e+00   3.0900e+00 
-  -4.2405e+00 -3.5025e+00   3.0900e+00 
-  -3.9229e+00 -3.8550e+00   3.0900e+00 
-  -3.5760e+00 -4.1788e+00   3.0900e+00 
-  -3.2025e+00 -4.4714e+00   3.0900e+00 
-  -2.8052e+00 -4.7308e+00   3.0900e+00 
-  -2.3870e+00 -4.9550e+00   3.0900e+00 
-  -1.9511e+00 -5.1423e+00   3.0900e+00 
-  -1.5006e+00 -5.2913e+00   3.0900e+00 
-  -1.0390e+00 -5.4010e+00   3.0900e+00 
-  -5.6960e-01 -5.4704e+00   3.0900e+00 
-  -9.5988e-02 -5.4992e+00   3.0900e+00 
-  -9.5988e-02 -5.4992e+00   3.0900e+00 
-  -9.5988e-02 -5.4992e+00   1.5700e+00 
-  -9.5988e-02 -5.4992e+00   5.0000e-02 
-  -9.5988e-02 -5.4992e+00  -1.4700e+00 
-  -9.5988e-02 -5.4992e+00  -2.9900e+00 
-  -7.0430e-01 -5.4547e+00  -2.9900e+00 
-  -1.3039e+00 -5.3432e+00  -2.9900e+00 
-  -1.8876e+00 -5.1660e+00  -2.9900e+00 
-  -2.4479e+00 -4.9252e+00  -2.9900e+00 
-  -2.9782e+00 -4.6239e+00  -2.9900e+00 
-  -3.4719e+00 -4.2657e+00  -2.9900e+00 
-  -3.9229e+00 -3.8550e+00  -2.9900e+00 
-  -4.3256e+00 -3.3969e+00  -2.9900e+00 
-  -4.6751e+00 -2.8971e+00  -2.9900e+00 
-  -4.9672e+00 -2.3616e+00  -2.9900e+00 
-  -5.1981e+00 -1.7971e+00  -2.9900e+00 
-  -5.3651e+00 -1.2105e+00  -2.9900e+00 
-  -5.4662e+00 -6.0899e-01  -2.9900e+00 
-  -5.5000e+00  6.7356e-16  -2.9900e+00 
-  -5.5000e+00  6.7356e-16  -1.4700e+00 
-  -5.5000e+00  6.7356e-16   5.0000e-02 
-  -5.5000e+00  6.7356e-16   1.5700e+00 
-  -5.5000e+00  6.7356e-16   3.0900e+00 
-  -1.0103e-15 -5.5000e+00   3.0900e+00 
-   4.7404e-01 -5.4795e+00   3.0900e+00 
-   9.4456e-01 -5.4183e+00   3.0900e+00 
-   1.4080e+00 -5.3167e+00   3.0900e+00 
-   1.8611e+00 -5.1756e+00   3.0900e+00 
-   2.3002e+00 -4.9959e+00   3.0900e+00 
-   2.7222e+00 -4.7791e+00   3.0900e+00 
-   3.1240e+00 -4.5266e+00   3.0900e+00 
-   3.5025e+00 -4.2405e+00   3.0900e+00 
-   3.8550e+00 -3.9229e+00   3.0900e+00 
-   4.1788e+00 -3.5760e+00   3.0900e+00 
-   4.4714e+00 -3.2025e+00   3.0900e+00 
-   4.7308e+00 -2.8052e+00   3.0900e+00 
-   4.9550e+00 -2.3870e+00   3.0900e+00 
-   5.1423e+00 -1.9511e+00   3.0900e+00 
-   5.2913e+00 -1.5006e+00   3.0900e+00 
-   5.4010e+00 -1.0390e+00   3.0900e+00 
-   5.4704e+00 -5.6960e-01   3.0900e+00 
-   5.4992e+00 -9.5988e-02   3.0900e+00 
-   5.4992e+00 -9.5988e-02   3.0900e+00 
-   5.4992e+00 -9.5988e-02   1.5700e+00 
-   5.4992e+00 -9.5988e-02   5.0000e-02 
-   5.4992e+00 -9.5988e-02  -1.4700e+00 
-   5.4992e+00 -9.5988e-02  -2.9900e+00 
-   5.4547e+00 -7.0430e-01  -2.9900e+00 
-   5.3432e+00 -1.3039e+00  -2.9900e+00 
-   5.1660e+00 -1.8876e+00  -2.9900e+00 
-   4.9252e+00 -2.4479e+00  -2.9900e+00 
-   4.6239e+00 -2.9782e+00  -2.9900e+00 
-   4.2657e+00 -3.4719e+00  -2.9900e+00 
-   3.8550e+00 -3.9229e+00  -2.9900e+00 
-   3.3969e+00 -4.3256e+00  -2.9900e+00 
-   2.8971e+00 -4.6751e+00  -2.9900e+00 
-   2.3616e+00 -4.9672e+00  -2.9900e+00 
-   1.7971e+00 -5.1981e+00  -2.9900e+00 
-   1.2105e+00 -5.3651e+00  -2.9900e+00 
-   6.0899e-01 -5.4662e+00  -2.9900e+00 
-  -1.0103e-15 -5.5000e+00  -2.9900e+00 
-  -1.0103e-15 -5.5000e+00  -1.4700e+00 
-  -1.0103e-15 -5.5000e+00   5.0000e-02 
-  -1.0103e-15 -5.5000e+00   1.5700e+00 
-  -1.0103e-15 -5.5000e+00   3.0900e+00 
+    4    1   42     1.00
+   5.5000e+00  0.0000e+00   3.0900e+00
+   5.4795e+00  4.7404e-01   3.0900e+00
+   5.4183e+00  9.4456e-01   3.0900e+00
+   5.3167e+00  1.4080e+00   3.0900e+00
+   5.1756e+00  1.8611e+00   3.0900e+00
+   4.9959e+00  2.3002e+00   3.0900e+00
+   4.7791e+00  2.7222e+00   3.0900e+00
+   4.5266e+00  3.1240e+00   3.0900e+00
+   4.2405e+00  3.5025e+00   3.0900e+00
+   3.9229e+00  3.8550e+00   3.0900e+00
+   3.5760e+00  4.1788e+00   3.0900e+00
+   3.2025e+00  4.4714e+00   3.0900e+00
+   2.8052e+00  4.7308e+00   3.0900e+00
+   2.3870e+00  4.9550e+00   3.0900e+00
+   1.9511e+00  5.1423e+00   3.0900e+00
+   1.5006e+00  5.2913e+00   3.0900e+00
+   1.0390e+00  5.4010e+00   3.0900e+00
+   5.6960e-01  5.4704e+00   3.0900e+00
+   9.5988e-02  5.4992e+00   3.0900e+00
+   9.5988e-02  5.4992e+00   3.0900e+00
+   9.5988e-02  5.4992e+00   1.5700e+00
+   9.5988e-02  5.4992e+00   5.0000e-02
+   9.5988e-02  5.4992e+00  -1.4700e+00
+   9.5988e-02  5.4992e+00  -2.9900e+00
+   7.0430e-01  5.4547e+00  -2.9900e+00
+   1.3039e+00  5.3432e+00  -2.9900e+00
+   1.8876e+00  5.1660e+00  -2.9900e+00
+   2.4479e+00  4.9252e+00  -2.9900e+00
+   2.9782e+00  4.6239e+00  -2.9900e+00
+   3.4719e+00  4.2657e+00  -2.9900e+00
+   3.9229e+00  3.8550e+00  -2.9900e+00
+   4.3256e+00  3.3969e+00  -2.9900e+00
+   4.6751e+00  2.8971e+00  -2.9900e+00
+   4.9672e+00  2.3616e+00  -2.9900e+00
+   5.1981e+00  1.7971e+00  -2.9900e+00
+   5.3651e+00  1.2105e+00  -2.9900e+00
+   5.4662e+00  6.0899e-01  -2.9900e+00
+   5.5000e+00  0.0000e+00  -2.9900e+00
+   5.5000e+00  0.0000e+00  -1.4700e+00
+   5.5000e+00  0.0000e+00   5.0000e-02
+   5.5000e+00  0.0000e+00   1.5700e+00
+   5.5000e+00  0.0000e+00   3.0900e+00
+   3.3678e-16  5.5000e+00   3.0900e+00
+  -4.7404e-01  5.4795e+00   3.0900e+00
+  -9.4456e-01  5.4183e+00   3.0900e+00
+  -1.4080e+00  5.3167e+00   3.0900e+00
+  -1.8611e+00  5.1756e+00   3.0900e+00
+  -2.3002e+00  4.9959e+00   3.0900e+00
+  -2.7222e+00  4.7791e+00   3.0900e+00
+  -3.1240e+00  4.5266e+00   3.0900e+00
+  -3.5025e+00  4.2405e+00   3.0900e+00
+  -3.8550e+00  3.9229e+00   3.0900e+00
+  -4.1788e+00  3.5760e+00   3.0900e+00
+  -4.4714e+00  3.2025e+00   3.0900e+00
+  -4.7308e+00  2.8052e+00   3.0900e+00
+  -4.9550e+00  2.3870e+00   3.0900e+00
+  -5.1423e+00  1.9511e+00   3.0900e+00
+  -5.2913e+00  1.5006e+00   3.0900e+00
+  -5.4010e+00  1.0390e+00   3.0900e+00
+  -5.4704e+00  5.6960e-01   3.0900e+00
+  -5.4992e+00  9.5988e-02   3.0900e+00
+  -5.4992e+00  9.5988e-02   3.0900e+00
+  -5.4992e+00  9.5988e-02   1.5700e+00
+  -5.4992e+00  9.5988e-02   5.0000e-02
+  -5.4992e+00  9.5988e-02  -1.4700e+00
+  -5.4992e+00  9.5988e-02  -2.9900e+00
+  -5.4547e+00  7.0430e-01  -2.9900e+00
+  -5.3432e+00  1.3039e+00  -2.9900e+00
+  -5.1660e+00  1.8876e+00  -2.9900e+00
+  -4.9252e+00  2.4479e+00  -2.9900e+00
+  -4.6239e+00  2.9782e+00  -2.9900e+00
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+   5.4992e+00 -9.5988e-02   1.5700e+00
+   5.4992e+00 -9.5988e-02   5.0000e-02
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+   5.4547e+00 -7.0430e-01  -2.9900e+00
+   5.3432e+00 -1.3039e+00  -2.9900e+00
+   5.1660e+00 -1.8876e+00  -2.9900e+00
+   4.9252e+00 -2.4479e+00  -2.9900e+00
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+   4.2657e+00 -3.4719e+00  -2.9900e+00
+   3.8550e+00 -3.9229e+00  -2.9900e+00
+   3.3969e+00 -4.3256e+00  -2.9900e+00
+   2.8971e+00 -4.6751e+00  -2.9900e+00
+   2.3616e+00 -4.9672e+00  -2.9900e+00
+   1.7971e+00 -5.1981e+00  -2.9900e+00
+   1.2105e+00 -5.3651e+00  -2.9900e+00
+   6.0899e-01 -5.4662e+00  -2.9900e+00
+  -1.0103e-15 -5.5000e+00  -2.9900e+00
+  -1.0103e-15 -5.5000e+00  -1.4700e+00
+  -1.0103e-15 -5.5000e+00   5.0000e-02
+  -1.0103e-15 -5.5000e+00   1.5700e+00
+  -1.0103e-15 -5.5000e+00   3.0900e+00
diff --git a/src/ForcingTerms/coil_geometries/jtext_l.dat b/src/ForcingTerms/coil_geometries/jtext_l.dat
index b744bedd8..476b55451 100644
--- a/src/ForcingTerms/coil_geometries/jtext_l.dat
+++ b/src/ForcingTerms/coil_geometries/jtext_l.dat
@@ -1,81 +1,81 @@
-    4    1   20    1.00 
-   1.2000e+00   1.6000e-02  -3.9800e-01 
-   1.2000e+00   1.6000e-02  -3.3300e-01 
-   1.2000e+00   2.5370e-02  -3.1000e-01 
-   1.2000e+00   4.8000e-02  -3.0100e-01 
-   1.2000e+00   1.3200e-01  -3.0100e-01 
-   1.1880e+00   1.5800e-01  -3.0100e-01 
-   1.1620e+00   1.6300e-01  -3.0100e-01 
-   7.9400e-01   9.0000e-02  -3.0100e-01 
-   7.7500e-01   7.9000e-02  -3.0100e-01 
-   7.6800e-01   5.8000e-02  -3.0100e-01 
-   7.6800e-01  -6.2000e-02  -3.0100e-01 
-   7.7500e-01  -8.3000e-02  -3.0100e-01 
-   7.9500e-01  -9.4000e-02  -3.0100e-01 
-   1.1620e+00  -1.6700e-01  -3.0100e-01 
-   1.1880e+00  -1.6000e-01  -3.0100e-01 
-   1.2000e+00  -1.3500e-01  -3.0100e-01 
-   1.2000e+00  -5.0000e-02  -3.0100e-01 
-   1.2000e+00  -2.5370e-02  -3.1000e-01 
-   1.2000e+00  -1.6000e-02  -3.3300e-01 
-   1.2000e+00  -1.6000e-02  -3.9800e-01 
-   1.6000e-02   1.2000e+00  -3.9800e-01 
-   1.6000e-02   1.2000e+00  -3.3300e-01 
-   2.5370e-02   1.2000e+00  -3.1000e-01 
-   4.8000e-02   1.2000e+00  -3.0100e-01 
-   1.3200e-01   1.2000e+00  -3.0100e-01 
-   1.5800e-01   1.1880e+00  -3.0100e-01 
-   1.6300e-01   1.1620e+00  -3.0100e-01 
-   9.0000e-02   7.9400e-01  -3.0100e-01 
-   7.9000e-02   7.7500e-01  -3.0100e-01 
-   5.8000e-02   7.6800e-01  -3.0100e-01 
-  -6.2000e-02   7.6800e-01  -3.0100e-01 
-  -8.3000e-02   7.7500e-01  -3.0100e-01 
-  -9.4000e-02   7.9500e-01  -3.0100e-01 
-  -1.6700e-01   1.1620e+00  -3.0100e-01 
-  -1.6000e-01   1.1880e+00  -3.0100e-01 
-  -1.3500e-01   1.2000e+00  -3.0100e-01 
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-  -7.7650e-01   1.6000e-02  -3.9800e-01 
-  -7.7650e-01   1.6000e-02  -3.3300e-01 
-  -7.7650e-01   2.5370e-02  -3.1000e-01 
-  -7.7650e-01   4.8000e-02  -3.0100e-01 
-  -7.7650e-01   6.1000e-02  -3.0100e-01 
-  -7.8350e-01   8.2000e-02  -3.0100e-01 
-  -8.0250e-01   9.3000e-02  -3.0100e-01 
-  -1.2015e+00   1.7100e-01  -3.0100e-01 
-  -1.2275e+00   1.6500e-01  -3.0100e-01 
-  -1.2395e+00   1.4100e-01  -3.0100e-01 
-  -1.2395e+00  -1.4100e-01  -3.0100e-01 
-  -1.2275e+00  -1.6600e-01  -3.0100e-01 
-  -1.2015e+00  -1.7200e-01  -3.0100e-01 
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+    4    1   20    1.00
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+   7.6800e-01   5.8000e-02  -3.0100e-01
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+   6.1000e-02  -7.7650e-01  -3.0100e-01
+   8.2000e-02  -7.8350e-01  -3.0100e-01
+   9.3000e-02  -8.0250e-01  -3.0100e-01
+   1.7100e-01  -1.2015e+00  -3.0100e-01
+   1.6500e-01  -1.2275e+00  -3.0100e-01
+   1.4100e-01  -1.2395e+00  -3.0100e-01
+  -1.4100e-01  -1.2395e+00  -3.0100e-01
+  -1.6600e-01  -1.2275e+00  -3.0100e-01
+  -1.7200e-01  -1.2015e+00  -3.0100e-01
+  -9.3000e-02  -8.0250e-01  -3.0100e-01
+  -8.2000e-02  -7.8350e-01  -3.0100e-01
+  -6.2000e-02  -7.7650e-01  -3.0100e-01
+  -4.9000e-02  -7.7650e-01  -3.0100e-01
+  -2.5370e-02  -7.7650e-01  -3.1000e-01
+  -1.6000e-02  -7.7650e-01  -3.3300e-01
+  -1.6000e-02  -7.7650e-01  -3.9800e-01
diff --git a/src/ForcingTerms/coil_geometries/jtext_m.dat b/src/ForcingTerms/coil_geometries/jtext_m.dat
index f211a2d1e..9defc821f 100644
--- a/src/ForcingTerms/coil_geometries/jtext_m.dat
+++ b/src/ForcingTerms/coil_geometries/jtext_m.dat
@@ -1,81 +1,81 @@
-    4    1   20    1.00 
-   1.3300e+00   1.6000e-02   3.5600e-01 
-   1.2830e+00   1.6000e-02   2.6500e-01 
-   1.3065e+00   2.5370e-02   2.4300e-01 
-   1.3300e+00   4.8000e-02   2.1100e-01 
-   1.3300e+00   1.3200e-01   2.1100e-01 
-   1.3300e+00   1.5800e-01   2.0200e-01 
-   1.3300e+00   1.6300e-01   1.7900e-01 
-   1.3300e+00   9.0000e-02  -2.0600e-01 
-   1.3300e+00   7.9000e-02  -2.2900e-01 
-   1.3300e+00   5.8000e-02  -2.3800e-01 
-   1.3300e+00  -6.2000e-02  -2.3800e-01 
-   1.3300e+00  -8.3000e-02  -2.2900e-01 
-   1.3300e+00  -9.4000e-02  -2.0600e-01 
-   1.3300e+00  -1.6700e-01   1.7900e-01 
-   1.3300e+00  -1.6000e-01   2.0200e-01 
-   1.3300e+00  -1.3500e-01   2.1100e-01 
-   1.3300e+00  -5.0000e-02   2.1100e-01 
-   1.3065e+00  -2.5370e-02   2.4300e-01 
-   1.2830e+00  -1.6000e-02   2.6500e-01 
-   1.3300e+00  -1.6000e-02   3.5600e-01 
-  -8.7000e-02   1.2000e+00  -3.5600e-01 
-  -8.7000e-02   1.2000e+00  -2.6500e-01 
-  -7.1000e-02   1.2000e+00  -2.4300e-01 
-  -5.5000e-02   1.2000e+00  -2.1100e-01 
-   1.6900e-01   1.2000e+00  -2.1100e-01 
-   1.9100e-01   1.1880e+00  -2.0200e-01 
-   2.0100e-01   1.1620e+00  -1.7900e-01 
-   2.0100e-01   7.9400e-01   2.0600e-01 
-   1.9100e-01   7.7500e-01   2.2900e-01 
-   1.6900e-01   7.6800e-01   2.3800e-01 
-  -1.6800e-01   7.6800e-01   2.3800e-01 
-  -1.9100e-01   7.7500e-01   2.2900e-01 
-  -2.0000e-01   7.9500e-01   2.0600e-01 
-  -2.0000e-01   1.1620e+00  -1.7900e-01 
-  -1.9100e-01   1.1880e+00  -2.0200e-01 
-  -1.6800e-01   1.2000e+00  -2.1100e-01 
-  -1.5100e-01   1.2000e+00  -2.1100e-01 
-  -1.3500e-01   1.2000e+00  -2.4300e-01 
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-  -1.1900e-01   1.2000e+00  -3.5600e-01 
-  -1.3300e+00   1.6000e-02   3.5600e-01 
-  -1.2830e+00   1.6000e-02   2.6500e-01 
-  -1.3065e+00   2.5370e-02   2.4300e-01 
-  -1.3300e+00   4.8000e-02   2.1100e-01 
-  -1.3300e+00   6.1000e-02   2.1100e-01 
-  -1.3300e+00   8.2000e-02   2.0200e-01 
-  -1.3300e+00   9.3000e-02   1.7900e-01 
-  -1.3300e+00   1.7100e-01  -2.0600e-01 
-  -1.3300e+00   1.6500e-01  -2.2900e-01 
-  -1.3300e+00   1.4100e-01  -2.3800e-01 
-  -1.3300e+00  -1.4100e-01  -2.3800e-01 
-  -1.3300e+00  -1.6600e-01  -2.2900e-01 
-  -1.3300e+00  -1.7200e-01  -2.0600e-01 
-  -1.3300e+00  -9.3000e-02   1.7900e-01 
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-  -1.3300e+00  -4.9000e-02   2.1100e-01 
-  -1.3065e+00  -2.5370e-02   2.4300e-01 
-  -1.2830e+00  -1.6000e-02   2.6500e-01 
-  -1.3300e+00  -1.6000e-02   3.5600e-01 
-   8.7000e-02  -7.7650e-01  -3.5600e-01 
-   8.7000e-02  -7.7650e-01  -2.6500e-01 
-   7.1000e-02  -7.7650e-01  -2.4300e-01 
-   5.5000e-02  -7.7650e-01  -2.1100e-01 
-   5.5000e-02  -7.7650e-01  -2.1100e-01 
-   3.2600e-02  -7.8350e-01  -2.0200e-01 
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-   2.2600e-02  -1.2015e+00   2.0600e-01 
-   3.2600e-02  -1.2275e+00   2.2900e-01 
-   5.4600e-02  -1.2395e+00   2.3800e-01 
-   1.6800e-01  -1.2395e+00   2.3800e-01 
-   1.9100e-01  -1.2275e+00   2.2900e-01 
-   2.0000e-01  -1.2015e+00   2.0600e-01 
-   2.0000e-01  -8.0250e-01  -1.7900e-01 
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-   1.6800e-01  -7.7650e-01  -2.1100e-01 
-   1.5100e-01  -7.7650e-01  -2.1100e-01 
-   1.3500e-01  -7.7650e-01  -2.4300e-01 
-   1.1900e-01  -7.7650e-01  -2.6500e-01 
-   1.1900e-01  -7.7650e-01  -3.5600e-01 
+    4    1   20    1.00
+   1.3300e+00   1.6000e-02   3.5600e-01
+   1.2830e+00   1.6000e-02   2.6500e-01
+   1.3065e+00   2.5370e-02   2.4300e-01
+   1.3300e+00   4.8000e-02   2.1100e-01
+   1.3300e+00   1.3200e-01   2.1100e-01
+   1.3300e+00   1.5800e-01   2.0200e-01
+   1.3300e+00   1.6300e-01   1.7900e-01
+   1.3300e+00   9.0000e-02  -2.0600e-01
+   1.3300e+00   7.9000e-02  -2.2900e-01
+   1.3300e+00   5.8000e-02  -2.3800e-01
+   1.3300e+00  -6.2000e-02  -2.3800e-01
+   1.3300e+00  -8.3000e-02  -2.2900e-01
+   1.3300e+00  -9.4000e-02  -2.0600e-01
+   1.3300e+00  -1.6700e-01   1.7900e-01
+   1.3300e+00  -1.6000e-01   2.0200e-01
+   1.3300e+00  -1.3500e-01   2.1100e-01
+   1.3300e+00  -5.0000e-02   2.1100e-01
+   1.3065e+00  -2.5370e-02   2.4300e-01
+   1.2830e+00  -1.6000e-02   2.6500e-01
+   1.3300e+00  -1.6000e-02   3.5600e-01
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+   2.0100e-01   7.9400e-01   2.0600e-01
+   1.9100e-01   7.7500e-01   2.2900e-01
+   1.6900e-01   7.6800e-01   2.3800e-01
+  -1.6800e-01   7.6800e-01   2.3800e-01
+  -1.9100e-01   7.7500e-01   2.2900e-01
+  -2.0000e-01   7.9500e-01   2.0600e-01
+  -2.0000e-01   1.1620e+00  -1.7900e-01
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+  -1.5100e-01   1.2000e+00  -2.1100e-01
+  -1.3500e-01   1.2000e+00  -2.4300e-01
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+  -1.3300e+00   4.8000e-02   2.1100e-01
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+  -1.3300e+00   8.2000e-02   2.0200e-01
+  -1.3300e+00   9.3000e-02   1.7900e-01
+  -1.3300e+00   1.7100e-01  -2.0600e-01
+  -1.3300e+00   1.6500e-01  -2.2900e-01
+  -1.3300e+00   1.4100e-01  -2.3800e-01
+  -1.3300e+00  -1.4100e-01  -2.3800e-01
+  -1.3300e+00  -1.6600e-01  -2.2900e-01
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+  -1.3300e+00  -6.2000e-02   2.1100e-01
+  -1.3300e+00  -4.9000e-02   2.1100e-01
+  -1.3065e+00  -2.5370e-02   2.4300e-01
+  -1.2830e+00  -1.6000e-02   2.6500e-01
+  -1.3300e+00  -1.6000e-02   3.5600e-01
+   8.7000e-02  -7.7650e-01  -3.5600e-01
+   8.7000e-02  -7.7650e-01  -2.6500e-01
+   7.1000e-02  -7.7650e-01  -2.4300e-01
+   5.5000e-02  -7.7650e-01  -2.1100e-01
+   5.5000e-02  -7.7650e-01  -2.1100e-01
+   3.2600e-02  -7.8350e-01  -2.0200e-01
+   2.2600e-02  -8.0250e-01  -1.7900e-01
+   2.2600e-02  -1.2015e+00   2.0600e-01
+   3.2600e-02  -1.2275e+00   2.2900e-01
+   5.4600e-02  -1.2395e+00   2.3800e-01
+   1.6800e-01  -1.2395e+00   2.3800e-01
+   1.9100e-01  -1.2275e+00   2.2900e-01
+   2.0000e-01  -1.2015e+00   2.0600e-01
+   2.0000e-01  -8.0250e-01  -1.7900e-01
+   1.9100e-01  -7.8350e-01  -2.0200e-01
+   1.6800e-01  -7.7650e-01  -2.1100e-01
+   1.5100e-01  -7.7650e-01  -2.1100e-01
+   1.3500e-01  -7.7650e-01  -2.4300e-01
+   1.1900e-01  -7.7650e-01  -2.6500e-01
+   1.1900e-01  -7.7650e-01  -3.5600e-01
diff --git a/src/ForcingTerms/coil_geometries/jtext_u.dat b/src/ForcingTerms/coil_geometries/jtext_u.dat
index 45404b00f..b70ef435f 100644
--- a/src/ForcingTerms/coil_geometries/jtext_u.dat
+++ b/src/ForcingTerms/coil_geometries/jtext_u.dat
@@ -1,81 +1,81 @@
-    4    1   20    1.00 
-   1.2000e+00   1.6000e-02   3.9800e-01 
-   1.2000e+00   1.6000e-02   3.3300e-01 
-   1.2000e+00   2.5370e-02   3.1000e-01 
-   1.2000e+00   4.8000e-02   3.0100e-01 
-   1.2000e+00   1.3200e-01   3.0100e-01 
-   1.1880e+00   1.5800e-01   3.0100e-01 
-   1.1620e+00   1.6300e-01   3.0100e-01 
-   7.9400e-01   9.0000e-02   3.0100e-01 
-   7.7500e-01   7.9000e-02   3.0100e-01 
-   7.6800e-01   5.8000e-02   3.0100e-01 
-   7.6800e-01  -6.2000e-02   3.0100e-01 
-   7.7500e-01  -8.3000e-02   3.0100e-01 
-   7.9500e-01  -9.4000e-02   3.0100e-01 
-   1.1620e+00  -1.6700e-01   3.0100e-01 
-   1.1880e+00  -1.6000e-01   3.0100e-01 
-   1.2000e+00  -1.3500e-01   3.0100e-01 
-   1.2000e+00  -5.0000e-02   3.0100e-01 
-   1.2000e+00  -2.5370e-02   3.1000e-01 
-   1.2000e+00  -1.6000e-02   3.3300e-01 
-   1.2000e+00  -1.6000e-02   3.9800e-01 
-   1.6000e-02   1.2000e+00   3.9800e-01 
-   1.6000e-02   1.2000e+00   3.3300e-01 
-   2.5370e-02   1.2000e+00   3.1000e-01 
-   4.8000e-02   1.2000e+00   3.0100e-01 
-   1.3200e-01   1.2000e+00   3.0100e-01 
-   1.5800e-01   1.1880e+00   3.0100e-01 
-   1.6300e-01   1.1620e+00   3.0100e-01 
-   9.0000e-02   7.9400e-01   3.0100e-01 
-   7.9000e-02   7.7500e-01   3.0100e-01 
-   5.8000e-02   7.6800e-01   3.0100e-01 
-  -6.2000e-02   7.6800e-01   3.0100e-01 
-  -8.3000e-02   7.7500e-01   3.0100e-01 
-  -9.4000e-02   7.9500e-01   3.0100e-01 
-  -1.6700e-01   1.1620e+00   3.0100e-01 
-  -1.6000e-01   1.1880e+00   3.0100e-01 
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-  -5.0000e-02   1.2000e+00   3.0100e-01 
-  -2.5370e-02   1.2000e+00   3.1000e-01 
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-  -7.7650e-01   1.6000e-02   3.3300e-01 
-  -7.7650e-01   2.5370e-02   3.1000e-01 
-  -7.7650e-01   4.8000e-02   3.0100e-01 
-  -7.7650e-01   6.1000e-02   3.0100e-01 
-  -7.8350e-01   8.2000e-02   3.0100e-01 
-  -8.0250e-01   9.3000e-02   3.0100e-01 
-  -1.2015e+00   1.7100e-01   3.0100e-01 
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-  -1.2395e+00   1.4100e-01   3.0100e-01 
-  -1.2395e+00  -1.4100e-01   3.0100e-01 
-  -1.2275e+00  -1.6600e-01   3.0100e-01 
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-  -7.7650e-01  -6.2000e-02   3.0100e-01 
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-  -7.7650e-01  -1.6000e-02   3.9800e-01 
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-  -8.2000e-02  -7.8350e-01   3.0100e-01 
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-  -2.5370e-02  -7.7650e-01   3.1000e-01 
-  -1.6000e-02  -7.7650e-01   3.3300e-01 
-  -1.6000e-02  -7.7650e-01   3.9800e-01 
+    4    1   20    1.00
+   1.2000e+00   1.6000e-02   3.9800e-01
+   1.2000e+00   1.6000e-02   3.3300e-01
+   1.2000e+00   2.5370e-02   3.1000e-01
+   1.2000e+00   4.8000e-02   3.0100e-01
+   1.2000e+00   1.3200e-01   3.0100e-01
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+   1.1620e+00   1.6300e-01   3.0100e-01
+   7.9400e-01   9.0000e-02   3.0100e-01
+   7.7500e-01   7.9000e-02   3.0100e-01
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+   7.7500e-01  -8.3000e-02   3.0100e-01
+   7.9500e-01  -9.4000e-02   3.0100e-01
+   1.1620e+00  -1.6700e-01   3.0100e-01
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+   1.2000e+00  -5.0000e-02   3.0100e-01
+   1.2000e+00  -2.5370e-02   3.1000e-01
+   1.2000e+00  -1.6000e-02   3.3300e-01
+   1.2000e+00  -1.6000e-02   3.9800e-01
+   1.6000e-02   1.2000e+00   3.9800e-01
+   1.6000e-02   1.2000e+00   3.3300e-01
+   2.5370e-02   1.2000e+00   3.1000e-01
+   4.8000e-02   1.2000e+00   3.0100e-01
+   1.3200e-01   1.2000e+00   3.0100e-01
+   1.5800e-01   1.1880e+00   3.0100e-01
+   1.6300e-01   1.1620e+00   3.0100e-01
+   9.0000e-02   7.9400e-01   3.0100e-01
+   7.9000e-02   7.7500e-01   3.0100e-01
+   5.8000e-02   7.6800e-01   3.0100e-01
+  -6.2000e-02   7.6800e-01   3.0100e-01
+  -8.3000e-02   7.7500e-01   3.0100e-01
+  -9.4000e-02   7.9500e-01   3.0100e-01
+  -1.6700e-01   1.1620e+00   3.0100e-01
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+  -2.5370e-02   1.2000e+00   3.1000e-01
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+  -7.8350e-01   8.2000e-02   3.0100e-01
+  -8.0250e-01   9.3000e-02   3.0100e-01
+  -1.2015e+00   1.7100e-01   3.0100e-01
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+  -7.7650e-01  -4.9000e-02   3.0100e-01
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+  -7.7650e-01  -1.6000e-02   3.9800e-01
+   1.6000e-02  -7.7650e-01   3.9800e-01
+   1.6000e-02  -7.7650e-01   3.3300e-01
+   2.5370e-02  -7.7650e-01   3.1000e-01
+   4.8000e-02  -7.7650e-01   3.0100e-01
+   6.1000e-02  -7.7650e-01   3.0100e-01
+   8.2000e-02  -7.8350e-01   3.0100e-01
+   9.3000e-02  -8.0250e-01   3.0100e-01
+   1.7100e-01  -1.2015e+00   3.0100e-01
+   1.6500e-01  -1.2275e+00   3.0100e-01
+   1.4100e-01  -1.2395e+00   3.0100e-01
+  -1.4100e-01  -1.2395e+00   3.0100e-01
+  -1.6600e-01  -1.2275e+00   3.0100e-01
+  -1.7200e-01  -1.2015e+00   3.0100e-01
+  -9.3000e-02  -8.0250e-01   3.0100e-01
+  -8.2000e-02  -7.8350e-01   3.0100e-01
+  -6.2000e-02  -7.7650e-01   3.0100e-01
+  -4.9000e-02  -7.7650e-01   3.0100e-01
+  -2.5370e-02  -7.7650e-01   3.1000e-01
+  -1.6000e-02  -7.7650e-01   3.3300e-01
+  -1.6000e-02  -7.7650e-01   3.9800e-01
diff --git a/src/ForcingTerms/coil_geometries/mastu_efcc.dat b/src/ForcingTerms/coil_geometries/mastu_efcc.dat
index e94da889f..5259e11cc 100644
--- a/src/ForcingTerms/coil_geometries/mastu_efcc.dat
+++ b/src/ForcingTerms/coil_geometries/mastu_efcc.dat
@@ -1,169 +1,169 @@
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diff --git a/src/ForcingTerms/coil_geometries/mastu_rmpl.dat b/src/ForcingTerms/coil_geometries/mastu_rmpl.dat
index 7d3a798d3..1bb9ca785 100644
--- a/src/ForcingTerms/coil_geometries/mastu_rmpl.dat
+++ b/src/ForcingTerms/coil_geometries/mastu_rmpl.dat
@@ -1,337 +1,337 @@
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diff --git a/src/ForcingTerms/coil_geometries/mastu_rmpu.dat b/src/ForcingTerms/coil_geometries/mastu_rmpu.dat
index 59d20c96d..ba2a4e14f 100644
--- a/src/ForcingTerms/coil_geometries/mastu_rmpu.dat
+++ b/src/ForcingTerms/coil_geometries/mastu_rmpu.dat
@@ -1,169 +1,169 @@
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-   2.6862e-01 -1.3923e+00   7.6000e-01 
-   2.9805e-01 -1.3863e+00   7.6000e-01 
-   3.2733e-01 -1.3797e+00   7.6000e-01 
-   3.5648e-01 -1.3725e+00   7.6000e-01 
-   3.8546e-01 -1.3646e+00   7.6000e-01 
-   4.1427e-01 -1.3561e+00   7.6000e-01 
-   4.4289e-01 -1.3471e+00   7.6000e-01 
-   4.7132e-01 -1.3374e+00   7.6000e-01 
-   4.9953e-01 -1.3271e+00   7.6000e-01 
-   5.2752e-01 -1.3162e+00   7.6000e-01 
-   5.2752e-01 -1.3162e+00   7.6000e-01 
-   5.4054e-01 -1.3487e+00   6.2950e-01 
-   5.5356e-01 -1.3812e+00   4.9900e-01 
-   5.2419e-01 -1.3926e+00   4.9900e-01 
-   4.9458e-01 -1.4034e+00   4.9900e-01 
-   4.6475e-01 -1.4136e+00   4.9900e-01 
-   4.3472e-01 -1.4231e+00   4.9900e-01 
-   4.0449e-01 -1.4320e+00   4.9900e-01 
-   3.7407e-01 -1.4402e+00   4.9900e-01 
-   3.4349e-01 -1.4478e+00   4.9900e-01 
-   3.1276e-01 -1.4548e+00   4.9900e-01 
-   2.8188e-01 -1.4611e+00   4.9900e-01 
-   2.5088e-01 -1.4667e+00   4.9900e-01 
-   2.1977e-01 -1.4717e+00   4.9900e-01 
-   1.8856e-01 -1.4760e+00   4.9900e-01 
-   1.5726e-01 -1.4797e+00   4.9900e-01 
-   1.2589e-01 -1.4827e+00   4.9900e-01 
-   9.4469e-02 -1.4850e+00   4.9900e-01 
-   6.3003e-02 -1.4867e+00   4.9900e-01 
-   3.1509e-02 -1.4877e+00   4.9900e-01 
-  -2.7334e-16 -1.4880e+00   4.9900e-01 
-  -2.6691e-16 -1.4530e+00   6.2950e-01 
-  -2.6048e-16 -1.4180e+00   7.6000e-01 
+    4    1   42     1.00
+   1.4180e+00  0.0000e+00   7.6000e-01
+   1.4177e+00  3.0026e-02   7.6000e-01
+   1.4167e+00  6.0039e-02   7.6000e-01
+   1.4151e+00  9.0025e-02   7.6000e-01
+   1.4129e+00  1.1997e-01   7.6000e-01
+   1.4101e+00  1.4986e-01   7.6000e-01
+   1.4066e+00  1.7969e-01   7.6000e-01
+   1.4024e+00  2.0943e-01   7.6000e-01
+   1.3977e+00  2.3908e-01   7.6000e-01
+   1.3923e+00  2.6862e-01   7.6000e-01
+   1.3863e+00  2.9805e-01   7.6000e-01
+   1.3797e+00  3.2733e-01   7.6000e-01
+   1.3725e+00  3.5648e-01   7.6000e-01
+   1.3646e+00  3.8546e-01   7.6000e-01
+   1.3561e+00  4.1427e-01   7.6000e-01
+   1.3471e+00  4.4289e-01   7.6000e-01
+   1.3374e+00  4.7132e-01   7.6000e-01
+   1.3271e+00  4.9953e-01   7.6000e-01
+   1.3162e+00  5.2752e-01   7.6000e-01
+   1.3162e+00  5.2752e-01   7.6000e-01
+   1.3487e+00  5.4054e-01   6.2950e-01
+   1.3812e+00  5.5356e-01   4.9900e-01
+   1.3926e+00  5.2419e-01   4.9900e-01
+   1.4034e+00  4.9458e-01   4.9900e-01
+   1.4136e+00  4.6475e-01   4.9900e-01
+   1.4231e+00  4.3472e-01   4.9900e-01
+   1.4320e+00  4.0449e-01   4.9900e-01
+   1.4402e+00  3.7407e-01   4.9900e-01
+   1.4478e+00  3.4349e-01   4.9900e-01
+   1.4548e+00  3.1276e-01   4.9900e-01
+   1.4611e+00  2.8188e-01   4.9900e-01
+   1.4667e+00  2.5088e-01   4.9900e-01
+   1.4717e+00  2.1977e-01   4.9900e-01
+   1.4760e+00  1.8856e-01   4.9900e-01
+   1.4797e+00  1.5726e-01   4.9900e-01
+   1.4827e+00  1.2589e-01   4.9900e-01
+   1.4850e+00  9.4469e-02   4.9900e-01
+   1.4867e+00  6.3003e-02   4.9900e-01
+   1.4877e+00  3.1509e-02   4.9900e-01
+   1.4880e+00  0.0000e+00   4.9900e-01
+   1.4530e+00  0.0000e+00   6.2950e-01
+   1.4180e+00  0.0000e+00   7.6000e-01
+   8.6827e-17  1.4180e+00   7.6000e-01
+  -3.0026e-02  1.4177e+00   7.6000e-01
+  -6.0039e-02  1.4167e+00   7.6000e-01
+  -9.0025e-02  1.4151e+00   7.6000e-01
+  -1.1997e-01  1.4129e+00   7.6000e-01
+  -1.4986e-01  1.4101e+00   7.6000e-01
+  -1.7969e-01  1.4066e+00   7.6000e-01
+  -2.0943e-01  1.4024e+00   7.6000e-01
+  -2.3908e-01  1.3977e+00   7.6000e-01
+  -2.6862e-01  1.3923e+00   7.6000e-01
+  -2.9805e-01  1.3863e+00   7.6000e-01
+  -3.2733e-01  1.3797e+00   7.6000e-01
+  -3.5648e-01  1.3725e+00   7.6000e-01
+  -3.8546e-01  1.3646e+00   7.6000e-01
+  -4.1427e-01  1.3561e+00   7.6000e-01
+  -4.4289e-01  1.3471e+00   7.6000e-01
+  -4.7132e-01  1.3374e+00   7.6000e-01
+  -4.9953e-01  1.3271e+00   7.6000e-01
+  -5.2752e-01  1.3162e+00   7.6000e-01
+  -5.2752e-01  1.3162e+00   7.6000e-01
+  -5.4054e-01  1.3487e+00   6.2950e-01
+  -5.5356e-01  1.3812e+00   4.9900e-01
+  -5.2419e-01  1.3926e+00   4.9900e-01
+  -4.9458e-01  1.4034e+00   4.9900e-01
+  -4.6475e-01  1.4136e+00   4.9900e-01
+  -4.3472e-01  1.4231e+00   4.9900e-01
+  -4.0449e-01  1.4320e+00   4.9900e-01
+  -3.7407e-01  1.4402e+00   4.9900e-01
+  -3.4349e-01  1.4478e+00   4.9900e-01
+  -3.1276e-01  1.4548e+00   4.9900e-01
+  -2.8188e-01  1.4611e+00   4.9900e-01
+  -2.5088e-01  1.4667e+00   4.9900e-01
+  -2.1977e-01  1.4717e+00   4.9900e-01
+  -1.8856e-01  1.4760e+00   4.9900e-01
+  -1.5726e-01  1.4797e+00   4.9900e-01
+  -1.2589e-01  1.4827e+00   4.9900e-01
+  -9.4469e-02  1.4850e+00   4.9900e-01
+  -6.3003e-02  1.4867e+00   4.9900e-01
+  -3.1509e-02  1.4877e+00   4.9900e-01
+   9.1114e-17  1.4880e+00   4.9900e-01
+   8.8971e-17  1.4530e+00   6.2950e-01
+   8.6827e-17  1.4180e+00   7.6000e-01
+  -1.4180e+00  1.7365e-16   7.6000e-01
+  -1.4177e+00 -3.0026e-02   7.6000e-01
+  -1.4167e+00 -6.0039e-02   7.6000e-01
+  -1.4151e+00 -9.0025e-02   7.6000e-01
+  -1.4129e+00 -1.1997e-01   7.6000e-01
+  -1.4101e+00 -1.4986e-01   7.6000e-01
+  -1.4066e+00 -1.7969e-01   7.6000e-01
+  -1.4024e+00 -2.0943e-01   7.6000e-01
+  -1.3977e+00 -2.3908e-01   7.6000e-01
+  -1.3923e+00 -2.6862e-01   7.6000e-01
+  -1.3863e+00 -2.9805e-01   7.6000e-01
+  -1.3797e+00 -3.2733e-01   7.6000e-01
+  -1.3725e+00 -3.5648e-01   7.6000e-01
+  -1.3646e+00 -3.8546e-01   7.6000e-01
+  -1.3561e+00 -4.1427e-01   7.6000e-01
+  -1.3471e+00 -4.4289e-01   7.6000e-01
+  -1.3374e+00 -4.7132e-01   7.6000e-01
+  -1.3271e+00 -4.9953e-01   7.6000e-01
+  -1.3162e+00 -5.2752e-01   7.6000e-01
+  -1.3162e+00 -5.2752e-01   7.6000e-01
+  -1.3487e+00 -5.4054e-01   6.2950e-01
+  -1.3812e+00 -5.5356e-01   4.9900e-01
+  -1.3926e+00 -5.2419e-01   4.9900e-01
+  -1.4034e+00 -4.9458e-01   4.9900e-01
+  -1.4136e+00 -4.6475e-01   4.9900e-01
+  -1.4231e+00 -4.3472e-01   4.9900e-01
+  -1.4320e+00 -4.0449e-01   4.9900e-01
+  -1.4402e+00 -3.7407e-01   4.9900e-01
+  -1.4478e+00 -3.4349e-01   4.9900e-01
+  -1.4548e+00 -3.1276e-01   4.9900e-01
+  -1.4611e+00 -2.8188e-01   4.9900e-01
+  -1.4667e+00 -2.5088e-01   4.9900e-01
+  -1.4717e+00 -2.1977e-01   4.9900e-01
+  -1.4760e+00 -1.8856e-01   4.9900e-01
+  -1.4797e+00 -1.5726e-01   4.9900e-01
+  -1.4827e+00 -1.2589e-01   4.9900e-01
+  -1.4850e+00 -9.4469e-02   4.9900e-01
+  -1.4867e+00 -6.3003e-02   4.9900e-01
+  -1.4877e+00 -3.1509e-02   4.9900e-01
+  -1.4880e+00  1.8223e-16   4.9900e-01
+  -1.4530e+00  1.7794e-16   6.2950e-01
+  -1.4180e+00  1.7365e-16   7.6000e-01
+  -2.6048e-16 -1.4180e+00   7.6000e-01
+   3.0026e-02 -1.4177e+00   7.6000e-01
+   6.0039e-02 -1.4167e+00   7.6000e-01
+   9.0025e-02 -1.4151e+00   7.6000e-01
+   1.1997e-01 -1.4129e+00   7.6000e-01
+   1.4986e-01 -1.4101e+00   7.6000e-01
+   1.7969e-01 -1.4066e+00   7.6000e-01
+   2.0943e-01 -1.4024e+00   7.6000e-01
+   2.3908e-01 -1.3977e+00   7.6000e-01
+   2.6862e-01 -1.3923e+00   7.6000e-01
+   2.9805e-01 -1.3863e+00   7.6000e-01
+   3.2733e-01 -1.3797e+00   7.6000e-01
+   3.5648e-01 -1.3725e+00   7.6000e-01
+   3.8546e-01 -1.3646e+00   7.6000e-01
+   4.1427e-01 -1.3561e+00   7.6000e-01
+   4.4289e-01 -1.3471e+00   7.6000e-01
+   4.7132e-01 -1.3374e+00   7.6000e-01
+   4.9953e-01 -1.3271e+00   7.6000e-01
+   5.2752e-01 -1.3162e+00   7.6000e-01
+   5.2752e-01 -1.3162e+00   7.6000e-01
+   5.4054e-01 -1.3487e+00   6.2950e-01
+   5.5356e-01 -1.3812e+00   4.9900e-01
+   5.2419e-01 -1.3926e+00   4.9900e-01
+   4.9458e-01 -1.4034e+00   4.9900e-01
+   4.6475e-01 -1.4136e+00   4.9900e-01
+   4.3472e-01 -1.4231e+00   4.9900e-01
+   4.0449e-01 -1.4320e+00   4.9900e-01
+   3.7407e-01 -1.4402e+00   4.9900e-01
+   3.4349e-01 -1.4478e+00   4.9900e-01
+   3.1276e-01 -1.4548e+00   4.9900e-01
+   2.8188e-01 -1.4611e+00   4.9900e-01
+   2.5088e-01 -1.4667e+00   4.9900e-01
+   2.1977e-01 -1.4717e+00   4.9900e-01
+   1.8856e-01 -1.4760e+00   4.9900e-01
+   1.5726e-01 -1.4797e+00   4.9900e-01
+   1.2589e-01 -1.4827e+00   4.9900e-01
+   9.4469e-02 -1.4850e+00   4.9900e-01
+   6.3003e-02 -1.4867e+00   4.9900e-01
+   3.1509e-02 -1.4877e+00   4.9900e-01
+  -2.7334e-16 -1.4880e+00   4.9900e-01
+  -2.6691e-16 -1.4530e+00   6.2950e-01
+  -2.6048e-16 -1.4180e+00   7.6000e-01
diff --git a/src/HDF5Schema.jl b/src/HDF5Schema.jl
index b8b0333c7..0ad15083e 100644
--- a/src/HDF5Schema.jl
+++ b/src/HDF5Schema.jl
@@ -243,7 +243,7 @@ const MAIN_H5_ANNOTATIONS = [
     "SurfaceGeometries/Plasma/z" => (; long_name="Cartesian z of plasma-surface point cloud", units="m"),
     "SurfaceGeometries/Wall/x" => (; long_name="Cartesian x of wall point cloud", units="m"),
     "SurfaceGeometries/Wall/y" => (; long_name="Cartesian y of wall point cloud", units="m"),
-    "SurfaceGeometries/Wall/z" => (; long_name="Cartesian z of wall point cloud", units="m"),
+    "SurfaceGeometries/Wall/z" => (; long_name="Cartesian z of wall point cloud", units="m")
 ]
 
 # Euler-Lagrange operator matrices: same wording per letter, Ideal/ and Kinetic/ variants.
@@ -256,7 +256,7 @@ const _ELM_IDEAL_LETTERS = [
     ("H", "Euler-Lagrange primitive coefficient matrix H"),
     ("F", "Euler-Lagrange derived coefficient matrix F"),
     ("K", "Euler-Lagrange derived coefficient matrix K"),
-    ("G", "Euler-Lagrange derived coefficient matrix G"),
+    ("G", "Euler-Lagrange derived coefficient matrix G")
 ]
 # The kinetic branch overwrites only A, B, C, K, G and adds f0; D, E, H, F are shared
 # unchanged from the ideal set and are not re-emitted.
@@ -266,14 +266,19 @@ const _ELM_KINETIC_LETTERS = [
     ("C", "Euler-Lagrange primitive coefficient matrix C"),
     ("K", "Euler-Lagrange derived coefficient matrix K"),
     ("G", "Euler-Lagrange derived coefficient matrix G"),
-    ("f0", "raw kinetic component matrix f0"),
+    ("f0", "raw kinetic component matrix f0")
 ]
 const ELM_H5_ANNOTATIONS = vcat(
     ["ForceFreeStates/EulerLagrangeMatrices/psi" => (; long_name="normalized poloidal flux ψ_N grid of the operator matrices", scale="psi")],
-    ["ForceFreeStates/EulerLagrangeMatrices/Ideal/$l" =>
-        (; long_name="ideal " * d, dims=("psi", "mode_row", "mode_col"), attach=(1 => "ForceFreeStates/EulerLagrangeMatrices/psi",)) for (l, d) in _ELM_IDEAL_LETTERS],
-    ["ForceFreeStates/EulerLagrangeMatrices/Kinetic/$l" =>
-        (; long_name="kinetic-modified " * d, dims=("psi", "mode_row", "mode_col"), attach=(1 => "ForceFreeStates/EulerLagrangeMatrices/psi",)) for (l, d) in _ELM_KINETIC_LETTERS]
+    [
+        "ForceFreeStates/EulerLagrangeMatrices/Ideal/$l" =>
+            (; long_name="ideal " * d, dims=("psi", "mode_row", "mode_col"), attach=(1 => "ForceFreeStates/EulerLagrangeMatrices/psi",)) for (l, d) in _ELM_IDEAL_LETTERS
+    ],
+    [
+        "ForceFreeStates/EulerLagrangeMatrices/Kinetic/$l" =>
+            (; long_name="kinetic-modified " * d, dims=("psi", "mode_row", "mode_col"), attach=(1 => "ForceFreeStates/EulerLagrangeMatrices/psi",)) for
+        (l, d) in _ELM_KINETIC_LETTERS
+    ]
 )
 
 """
diff --git a/src/InnerLayer/GGJ/Ray.jl b/src/InnerLayer/GGJ/Ray.jl
index cb188f4aa..3abbc4f46 100644
--- a/src/InnerLayer/GGJ/Ray.jl
+++ b/src/InnerLayer/GGJ/Ray.jl
@@ -943,8 +943,6 @@ end
                         npc=8, certify_rtol=1e-3, kwargs...)
         -> (; Δ, x, Ψ, Ξ, dψdx, rescale, certΔ)
 
-Rotated-ray implementation of the [`solve_inner_profile`](@ref) interface. The
-certified `Δ` comes from the optimal-contour solve at θ = arg(Q)/4 (robust for
 |Q| ≳ 1, where real-axis methods drift); the profiles come from a θ = 0
 re-solve on the real axis, valid at physical (RPEC) |Q| since the on-axis
 pseudo-resonance is a regular point resolved by the BVP refinement. The
diff --git a/src/InnerLayer/InnerLayerInterface.jl b/src/InnerLayer/InnerLayerInterface.jl
index 52e1b36ea..5ad7dedaf 100644
--- a/src/InnerLayer/InnerLayerInterface.jl
+++ b/src/InnerLayer/InnerLayerInterface.jl
@@ -87,13 +87,13 @@ tuple with at least:
 
   - `Δ`       — the same `(Δ_odd, Δ_even)` matching data as [`solve_inner`](@ref)
   - `x`       — real ascending grid in the model's stretched inner coordinate,
-                `x ≥ 0` with the rational surface at `x = 0`
+    `x ≥ 0` with the rational surface at `x = 0`
   - `Ψ`, `Ξ`  — `length(x) × 2` profiles, columns (odd, even) parity, in the
-                model's inner normalization: `Ψ` the normal-field
-                (reconnected-flux) variable, `Ξ` the displacement
+    model's inner normalization: `Ψ` the normal-field
+    (reconnected-flux) variable, `Ξ` the displacement
   - `dψdx`    — conversion to poloidal-flux distance, `δψ = dψdx · x`
   - `rescale` — amplitude factor converting the inner-normalized profiles to
-                the outer δψ-normalized convention (companion of the Δ rescale)
+    the outer δψ-normalized convention (companion of the Δ rescale)
 
 Concrete models may return additional diagnostic fields (e.g. a solve-quality
 certificate). Solver-knob keywords are model-specific.
diff --git a/src/InnerLayer/SLAYER/LayerInputs.jl b/src/InnerLayer/SLAYER/LayerInputs.jl
index 96177903d..b25faa154 100644
--- a/src/InnerLayer/SLAYER/LayerInputs.jl
+++ b/src/InnerLayer/SLAYER/LayerInputs.jl
@@ -87,11 +87,15 @@ profiles, without an intermediate file round-trip.
     physical field, so passing it as a scalar is almost always wrong.
 
   - `mu_i`      -- ion mass in proton-mass units (default `2.0` for D).
+
   - `zeff`      -- effective charge (default `1.0`).
+
   - `chi_perp`  -- perpendicular heat diffusivity [m²/s]. Scalar or a
     callable of `psi` (default `1.0`).
+
   - `chi_tor`   -- toroidal heat diffusivity [m²/s]. Scalar or a callable
     of `psi` (default `1.0`).
+
   - `dr_val`    -- resistive interchange index `D_R = E + F + H²`
     (Glasser-Greene-Johnson 1975) feeding the critical-Δ formulas
     (`:lar`, `:rfitzp`, `:toroidal`). When `nothing` (default), Julia
@@ -106,6 +110,7 @@ profiles, without an intermediate file round-trip.
     NOT the Mercier index `D_I = E + F + H − 1/4`. The two differ by
     `(H − 1/2)²`, which is non-trivial on shaped equilibria (~factor 3 on
     DIII-D); this code uses the physically correct `D_R`.
+
   - `dgeo_val`  -- Connor 2015 (PPCF 57 065001) Eq. 59 geometric factor
     used by `dc_type=:toroidal`. When `nothing` (default), an error is
     raised if `dc_type=:toroidal` is also requested — the auto-derived
@@ -113,15 +118,19 @@ profiles, without an intermediate file round-trip.
     doesn't currently expose. Pass a scalar / vector / callable to use
     a prescribed value. (For `dc_type=:rfitzp` and `:lar`, dgeo_val is
     not consulted.)
+
   - `dc_type`   -- `:none` (default), `:lar`, `:rfitzp`, or `:toroidal`.
+
   - `theta`     -- poloidal angle at which to measure minor radius (default
     `0.0`, outboard midplane).
+
   - `resistivity_model` -- `SauterNeoModel()` (default), `RedlNeoModel()`,
     `SpitzerModel()`, or `SpitzerHarmModel()` (legacy Fitzpatrick σ_∥).
     Sets the η entering τ_R = μ₀r_s²/η. With a neoclassical model, `f_trap`
     and ν*_e are taken from the surface's `ResistGeometry` if populated
     (via `ForceFreeStates.resist_eval_all!`), otherwise fall back to the
     ε-only Lin-Liu-Miller form and `rs/R_0` aspect ratio.
+
   - `lnLambda_form` -- Coulomb-log form passed through to `slayer_parameters`
     (default `:nrl`; `:wesson` + `SpitzerHarmModel()` reproduces legacy
     SLAYER exactly).
diff --git a/src/InnerLayer/SLAYER/LayerParameters.jl b/src/InnerLayer/SLAYER/LayerParameters.jl
index 5dbf9163f..8e3c17fb1 100644
--- a/src/InnerLayer/SLAYER/LayerParameters.jl
+++ b/src/InnerLayer/SLAYER/LayerParameters.jl
@@ -20,32 +20,32 @@ Fitzpatrick two-fluid drift-MHD SLAYER inner-layer model (Fitzpatrick
 de-normalization. The parametrization uses `P_perp`, `P_tor`, and
 `D_norm` (not the older `pr`/`pe`/`ds` set).
 
-| field      | meaning                                                           |
-|:---------- |:----------------------------------------------------------------- |
-| `ising`    | Singular-surface index (traceability only)                        |
-| `m`, `n`   | Poloidal / toroidal mode numbers at this surface                  |
-| `tau`      | T_i / T_e                                                         |
-| `lu`       | Lundquist number S = τ_R / τ_H                                    |
-| `c_beta`   | Compressibility √(β_local / (1 + β_local))                        |
-| `D_norm`   | (d_β/r_s) · S^(1/3) · √(τ/(1+τ))  (Fitzpatrick normalized scale)  |
-| `P_perp`   | Perpendicular Prandtl number τ_R / τ_⊥                            |
-| `P_tor`    | Toroidal-direction Prandtl number τ_R / τ_‖tor                    |
-| `Q_e`      | Normalized electron diamagnetic: −tauk · ω_*e                     |
-| `Q_i`      | Normalized ion diamagnetic:      −tauk · ω_*i                     |
-| `iota_e`   | Q_e / (Q_e − Q_i)                                                 |
-| `tauk`     | Q-conversion factor S^(1/3) · τ_H  [s] — multiplies ω to get Q    |
-| `tau_r`    | Resistive diffusion time [s]                                      |
-| `delta_n`  | Δ-normalization factor S^(1/3) / r_s [m⁻¹]                        |
-| `rs`       | Minor radius at this surface [m]                                  |
-| `R0`       | Major radius [m]                                                  |
-| `bt`       | Toroidal field [T]                                                |
-| `sval_r`   | r-based magnetic shear r_s · (dq/dr) / q (Fitzpatrick convention) |
+| field      | meaning                                                                                                         |
+|:---------- |:--------------------------------------------------------------------------------------------------------------- |
+| `ising`    | Singular-surface index (traceability only)                                                                      |
+| `m`, `n`   | Poloidal / toroidal mode numbers at this surface                                                                |
+| `tau`      | T_i / T_e                                                                                                       |
+| `lu`       | Lundquist number S = τ_R / τ_H                                                                                  |
+| `c_beta`   | Compressibility √(β_local / (1 + β_local))                                                                      |
+| `D_norm`   | (d_β/r_s) · S^(1/3) · √(τ/(1+τ))  (Fitzpatrick normalized scale)                                                |
+| `P_perp`   | Perpendicular Prandtl number τ_R / τ_⊥                                                                          |
+| `P_tor`    | Toroidal-direction Prandtl number τ_R / τ_‖tor                                                                  |
+| `Q_e`      | Normalized electron diamagnetic: −tauk · ω_*e                                                                   |
+| `Q_i`      | Normalized ion diamagnetic:      −tauk · ω_*i                                                                   |
+| `iota_e`   | Q_e / (Q_e − Q_i)                                                                                               |
+| `tauk`     | Q-conversion factor S^(1/3) · τ_H  [s] — multiplies ω to get Q                                                  |
+| `tau_r`    | Resistive diffusion time [s]                                                                                    |
+| `delta_n`  | Δ-normalization factor S^(1/3) / r_s [m⁻¹]                                                                      |
+| `rs`       | Minor radius at this surface [m]                                                                                |
+| `R0`       | Major radius [m]                                                                                                |
+| `bt`       | Toroidal field [T]                                                                                              |
+| `sval_r`   | r-based magnetic shear r_s · (dq/dr) / q (Fitzpatrick convention)                                               |
 | `dr_val`   | Resistive interchange D_R = E + F + H² (critical-Δ input; auto-derived from GGJ coefficients unless overridden) |
-| `dgeo_val` | Connor-Hastie-Helander 2015 Eq. 59 geometric factor (0 unless supplied) |
-| `eta`      | Parallel resistivity entering τ_R = μ₀r_s²/η [Ω·m]                |
-| `d_beta`   | Beta-weighted ion length scale c_β · d_i [m]                      |
-| `dc_tmp`   | Critical-Δ offset from chi_parallel matching                      |
-| `dc_type`  | Selector for `dc_tmp` formula                                     |
+| `dgeo_val` | Connor-Hastie-Helander 2015 Eq. 59 geometric factor (0 unless supplied)                                         |
+| `eta`      | Parallel resistivity entering τ_R = μ₀r_s²/η [Ω·m]                                                              |
+| `d_beta`   | Beta-weighted ion length scale c_β · d_i [m]                                                                    |
+| `dc_tmp`   | Critical-Δ offset from chi_parallel matching                                                                    |
+| `dc_type`  | Selector for `dc_tmp` formula                                                                                   |
 
 The complex normalized growth rate `Q = ω + iγ` is **not** stored here;
 it is passed as a separate argument to `solve_inner`.
diff --git a/src/KineticForces/BounceAveraging.jl b/src/KineticForces/BounceAveraging.jl
index 63a59aedc..5dddae01d 100644
--- a/src/KineticForces/BounceAveraging.jl
+++ b/src/KineticForces/BounceAveraging.jl
@@ -31,7 +31,7 @@ struct BounceData
     # For matrix path (nothing if scalar-only): packed layout (nlmda, nqty_matrix(mpert)).
     # Consumer fills into fbnce_data[:, 3:end] by direct copy. See `nqty_matrix` for
     # the 3-Hermitian-triangle + 3-full-block packing (Logan 2015 Eqs 7.30–7.35).
-    wmats_vs_lambda::Union{Nothing, Matrix{ComplexF64}}
+    wmats_vs_lambda::Union{Nothing,Matrix{ComplexF64}}
 end
 
 
@@ -44,13 +44,19 @@ end
 # the full mpert² for the three non-Hermitian blocks. Block packing order:
 # A-tri, D-tri, H-tri, B-full, C-full, E-full.
 
-"""Number of packed complex entries per λ for the 6 kinetic matrices."""
+"""
+Number of packed complex entries per λ for the 6 kinetic matrices.
+"""
 @inline nqty_matrix(mpert::Int) = 3 * (mpert * (mpert + 1)) ÷ 2 + 3 * mpert^2
 
-"""Upper-triangle index (1 ≤ i ≤ j ≤ mpert) within a triangular block."""
+"""
+Upper-triangle index (1 ≤ i ≤ j ≤ mpert) within a triangular block.
+"""
 @inline _tri_idx(i::Int, j::Int) = (j * (j - 1)) ÷ 2 + i
 
-"""Full-block index (column-major) within a non-Hermitian block."""
+"""
+Full-block index (column-major) within a non-Hermitian block.
+"""
 @inline _full_idx(i::Int, j::Int, mpert::Int) = (j - 1) * mpert + i
 
 
@@ -65,14 +71,16 @@ Generate a grid with power-law concentration near endpoints.
 Port of Fortran `powspace_sub` from equil/grid.f90.
 
 # Arguments
-- `xmin, xmax`: Grid bounds
-- `pow::Int`: Power of grid concentration (higher = more refined near edges)
-- `num::Int`: Number of grid points
-- `endpoints::String`: Where to concentrate: "lower", "upper", or "both"
+
+  - `xmin, xmax`: Grid bounds
+  - `pow::Int`: Power of grid concentration (higher = more refined near edges)
+  - `num::Int`: Number of grid points
+  - `endpoints::String`: Where to concentrate: "lower", "upper", or "both"
 
 # Returns
-- `points::Vector{Float64}`: Grid point locations
-- `weights::Vector{Float64}`: Derivatives dx/dnorm (integration weights)
+
+  - `points::Vector{Float64}`: Grid point locations
+  - `weights::Vector{Float64}`: Derivatives dx/dnorm (integration weights)
 """
 function powspace(xmin::Float64, xmax::Float64, pow::Int, num::Int, endpoints::String)
     if xmax <= xmin
@@ -81,11 +89,11 @@ function powspace(xmin::Float64, xmax::Float64, pow::Int, num::Int, endpoints::S
 
     # Linear base grid in [-1,1], [0,1], or [-1,0]
     x = if endpoints == "lower"
-        collect(range(-1.0, 0.0, length=num))
+        collect(range(-1.0, 0.0; length=num))
     elseif endpoints == "upper"
-        collect(range(0.0, 1.0, length=num))
+        collect(range(0.0, 1.0; length=num))
     elseif endpoints == "both"
-        collect(range(-1.0, 1.0, length=num))
+        collect(range(-1.0, 1.0; length=num))
     else
         error("powspace: invalid endpoints '$endpoints' — use lower, upper, or both")
     end
@@ -160,31 +168,33 @@ needed by the pitch-angle quadrature.
 Ports Fortran torque.F90 lines 530-816 (GAR branch).
 
 # Arguments
-- `psi`: Normalized poloidal flux
-- `n`: Toroidal mode number
-- `l`: Bounce harmonic number
-- `q`: Safety factor at this ψ
-- `bo`: On-axis toroidal field [T]
-- `bmax, bmin`: Max/min of B(θ) at this ψ
-- `theta_bmax`: θ location of Bmax (nodal knot; the passing-transit start)
-- `tspl`: Periodic poloidal interpolant: tspl(θ) → [B, dB/dψ, dB/dθ, J, dJ/dψ]
-- `B_extrap`: Endpoint-fit (non-periodic) cubic of B(θ) used for v_par and the
-  bounce-point roots (the Fortran `vspl` equivalent)
-- `mfac`: Poloidal mode numbers [mlow:mhigh]
-- `chi1`: 2π·ψ₀ flux normalization
-- `ro`: Major radius [m]
-- `dbob_m_f`: δB/B Fourier modes at this ψ (ComplexF64 vector, length mpert)
-- `divx_m_f`: ∇·ξ⊥ Fourier modes at this ψ (ComplexF64 vector, length mpert)
-- `divxfac, wdfac`: Scaling factors
-- `mass`: Particle mass [kg]
-- `chrg`: Particle charge [C]
-- `T_s`: Species temperature at this ψ [J]
-- `method`: Method string (first char: f/t/p determines λ range)
+
+  - `psi`: Normalized poloidal flux
+  - `n`: Toroidal mode number
+  - `l`: Bounce harmonic number
+  - `q`: Safety factor at this ψ
+  - `bo`: On-axis toroidal field [T]
+  - `bmax, bmin`: Max/min of B(θ) at this ψ
+  - `theta_bmax`: θ location of Bmax (nodal knot; the passing-transit start)
+  - `tspl`: Periodic poloidal interpolant: tspl(θ) → [B, dB/dψ, dB/dθ, J, dJ/dψ]
+  - `B_extrap`: Endpoint-fit (non-periodic) cubic of B(θ) used for v_par and the
+    bounce-point roots (the Fortran `vspl` equivalent)
+  - `mfac`: Poloidal mode numbers [mlow:mhigh]
+  - `chi1`: 2π·ψ₀ flux normalization
+  - `ro`: Major radius [m]
+  - `dbob_m_f`: δB/B Fourier modes at this ψ (ComplexF64 vector, length mpert)
+  - `divx_m_f`: ∇·ξ⊥ Fourier modes at this ψ (ComplexF64 vector, length mpert)
+  - `divxfac, wdfac`: Scaling factors
+  - `mass`: Particle mass [kg]
+  - `chrg`: Particle charge [C]
+  - `T_s`: Species temperature at this ψ [J]
+  - `method`: Method string (first char: f/t/p determines λ range)
 
 # Keyword Arguments
-- `nlmda`: Number of pitch angle grid points (default 128, matching Fortran pentrc nlmda)
-- `ntheta`: Number of poloidal grid points per bounce (default 128)
-- `smat, tmat, xmat, ymat, zmat`: Geometric matrices (mpert×mpert) for kinetic matrix path
+
+  - `nlmda`: Number of pitch angle grid points (default 128, matching Fortran pentrc nlmda)
+  - `ntheta`: Number of poloidal grid points per bounce (default 128)
+  - `smat, tmat, xmat, ymat, zmat`: Geometric matrices (mpert×mpert) for kinetic matrix path
 """
 function compute_bounce_data(
     psi::Float64, n::Int, l::Int, q::Float64,
@@ -262,7 +272,7 @@ function compute_bounce_data(
     end
 
     return BounceData(nlmda, lambda, dlambda, sigma_arr,
-                      wb_arr, wd_arr, dJdJ_arr, wmats_arr)
+        wb_arr, wd_arr, dJdJ_arr, wmats_arr)
 end
 
 
@@ -275,23 +285,24 @@ Per-surface scratch for the bounce-averaging inner loops, allocated once in
 partially are `fill!`-reset per λ.
 
 ## Fields
-- `g_wb::Vector{Float64}`: length `ntheta` — bounce-action integrand samples
-- `g_wd::Vector{Float64}`: length `ntheta` — drift integrand samples
-- `cum_wb_arr::Vector{Float64}`: length `ntheta` — cumulative bounce-action integral
-- `jvtheta::Vector{ComplexF64}`: length `ntheta` — action integrand
-- `bj_samples::Vector{ComplexF64}`: length `ntheta` — action bounce-integral samples
-- `wsamp::Vector{ComplexF64}`: length `ntheta` — per-mode W bounce-integral samples
-- `wmu_mt::Matrix{ComplexF64}`: `mpert × ntheta` — W_μ per θ
-- `wen_mt::Matrix{ComplexF64}`: `mpert × ntheta` — W_E per θ
-- `expm::Vector{ComplexF64}`: length `mpert` — Fourier basis at a θ
-- `pl::Vector{ComplexF64}`: length `ntheta` — bounce phase factor
-- `wmu_ba::Vector{ComplexF64}`: length `mpert` — bounce-averaged W_μ
-- `wen_ba::Vector{ComplexF64}`: length `mpert` — bounce-averaged W_E
-- `wmats_lmda::Vector{ComplexF64}`: length `nqty_matrix(mpert)` — packed W outer products
-- `tspl_f::Vector{Float64}`: length 5 — in-place tspl(θ) evaluation
-- `int_w::Vector{Float64}`, `cumint_W::Matrix{Float64}`: precomputed exact-cubic
-  quadrature weights on the fixed unit θ-grid (`∫ = int_w·y`, `cumulative = cumint_W·y`);
-  shared read-only across surfaces, see `_quadrature_weights`
+
+  - `g_wb::Vector{Float64}`: length `ntheta` — bounce-action integrand samples
+  - `g_wd::Vector{Float64}`: length `ntheta` — drift integrand samples
+  - `cum_wb_arr::Vector{Float64}`: length `ntheta` — cumulative bounce-action integral
+  - `jvtheta::Vector{ComplexF64}`: length `ntheta` — action integrand
+  - `bj_samples::Vector{ComplexF64}`: length `ntheta` — action bounce-integral samples
+  - `wsamp::Vector{ComplexF64}`: length `ntheta` — per-mode W bounce-integral samples
+  - `wmu_mt::Matrix{ComplexF64}`: `mpert × ntheta` — W_μ per θ
+  - `wen_mt::Matrix{ComplexF64}`: `mpert × ntheta` — W_E per θ
+  - `expm::Vector{ComplexF64}`: length `mpert` — Fourier basis at a θ
+  - `pl::Vector{ComplexF64}`: length `ntheta` — bounce phase factor
+  - `wmu_ba::Vector{ComplexF64}`: length `mpert` — bounce-averaged W_μ
+  - `wen_ba::Vector{ComplexF64}`: length `mpert` — bounce-averaged W_E
+  - `wmats_lmda::Vector{ComplexF64}`: length `nqty_matrix(mpert)` — packed W outer products
+  - `tspl_f::Vector{Float64}`: length 5 — in-place tspl(θ) evaluation
+  - `int_w::Vector{Float64}`, `cumint_W::Matrix{Float64}`: precomputed exact-cubic
+    quadrature weights on the fixed unit θ-grid (`∫ = int_w·y`, `cumulative = cumint_W·y`);
+    shared read-only across surfaces, see `_quadrature_weights`
 """
 struct BounceScratch
     g_wb::Vector{Float64}
@@ -330,7 +341,7 @@ function BounceScratch(ntheta::Int, mpert::Int)
         Vector{ComplexF64}(undef, nqty_matrix(mpert)),
         Vector{Float64}(undef, 5),
         int_w,
-        cumint_W,
+        cumint_W
     )
 end
 
@@ -351,7 +362,7 @@ fitting and integrating each sample vector directly, but reducing the per-λ hot
 function _quadrature_weights(ntheta::Int)
     lock(_QUAD_WEIGHTS_LOCK) do
         get!(_QUAD_WEIGHTS, ntheta) do
-            xs = collect(range(0.0, 1.0, length=ntheta))
+            xs = collect(range(0.0, 1.0; length=ntheta))
             int_w = zeros(Float64, ntheta)
             cumint_W = zeros(Float64, ntheta, ntheta)
             ej = zeros(Float64, ntheta)
@@ -384,12 +395,12 @@ function _build_lambda_grid(method_char::Char, lmdatpb::Float64, lmdamax::Float6
     if method_char == 't'
         # Trapped only: λ ∈ (lmdatpb, lmdamax), exclude endpoints
         pts_inc, wts_inc = powspace(lmdatpb, lmdamax, 1, 2 + nlmda, "both")
-        return pts_inc[2:end-1], wts_inc[2:end-1]
+        return pts_inc[2:(end-1)], wts_inc[2:(end-1)]
 
     elseif method_char == 'p'
         # Passing only: λ ∈ (lmdamin, lmdatpb), exclude endpoints
         pts_inc, wts_inc = powspace(lmdamin, lmdatpb, 1, 2 + nlmda, "both")
-        return pts_inc[2:end-1], wts_inc[2:end-1]
+        return pts_inc[2:(end-1)], wts_inc[2:(end-1)]
 
     else  # 'f' = full
         if lmdatpb ≈ lmdamax
@@ -401,8 +412,8 @@ function _build_lambda_grid(method_char::Char, lmdatpb::Float64, lmdamax::Float6
         pts_p, wts_p = powspace(lmdamin, lmdatpb, 2, 2 + nhalf_p, "upper")
         pts_t, wts_t = powspace(lmdatpb, lmdamax, 2, 2 + nhalf_t, "lower")
         # Exclude boundary points
-        lambda = vcat(pts_p[2:end-1], pts_t[2:end-1])
-        dlambda = vcat(wts_p[2:end-1], wts_t[2:end-1])
+        lambda = vcat(pts_p[2:(end-1)], pts_t[2:(end-1)])
+        dlambda = vcat(wts_p[2:(end-1)], wts_t[2:(end-1)])
         return lambda, dlambda
     end
 end
@@ -538,7 +549,7 @@ function _bounce_integrate(
     tspl_f = scr.tspl_f
     expm = scr.expm
 
-    for i in 2:ntheta-1  # Edge weights are 0 from powspace
+    for i in 2:(ntheta-1)  # Edge weights are 0 from powspace
         θ = tdt_pts[i]
         dt = tdt_wts[i]
         θmod = mod(θ, 1.0)
@@ -595,8 +606,8 @@ function _bounce_integrate(
         # Action integrand
         phase = cis(-twopi * n * q * (θ - theta0))
         jvtheta[i] = dt * jac * B_val *
-            (divx * sqrt_vpar + dbob * (1.0 - 1.5 * lmda * B_val / bo) / sqrt_vpar) *
-            phase
+                     (divx * sqrt_vpar + dbob * (1.0 - 1.5 * lmda * B_val / bo) / sqrt_vpar) *
+                     phase
 
         # W vectors for matrix path
         if do_matrices
@@ -611,9 +622,9 @@ function _bounce_integrate(
         # Smooth backfill for points zeroed before a restart. Exact equality with
         # 0.0 is safe: the restart branch set these entries with fill!(…, 0.0).
         if i >= 3 && g_wb[i-1] == 0.0
-            fill!(view(g_wb, 3:i-1), g_wb[i])
-            fill!(view(g_wd, 3:i-1), g_wd[i])
-            fill!(view(jvtheta, 2:i-1), jvtheta[i])
+            fill!(view(g_wb, 3:(i-1)), g_wb[i])
+            fill!(view(g_wd, 3:(i-1)), g_wd[i])
+            fill!(view(jvtheta, 2:(i-1)), jvtheta[i])
         end
     end
 
@@ -698,32 +709,32 @@ function _bounce_integrate(
         # A (Hermitian): upper triangle of W_Z†W_Z, rank-1 → conj(wz[i])·wz[j].
         off = 0
         @inbounds for j in 1:mpert, i in 1:j
-            wmats_lmda[off + _tri_idx(i, j)] = conj(wz[i]) * wz[j] * scale
+            wmats_lmda[off+_tri_idx(i, j)] = conj(wz[i]) * wz[j] * scale
         end
         off += Mu
         # D (Hermitian): upper triangle of W_X†W_X.
         @inbounds for j in 1:mpert, i in 1:j
-            wmats_lmda[off + _tri_idx(i, j)] = conj(wx[i]) * wx[j] * scale
+            wmats_lmda[off+_tri_idx(i, j)] = conj(wx[i]) * wx[j] * scale
         end
         off += Mu
         # H (Hermitian): upper triangle of W_Y†W_Y.
         @inbounds for j in 1:mpert, i in 1:j
-            wmats_lmda[off + _tri_idx(i, j)] = conj(wy[i]) * wy[j] * scale
+            wmats_lmda[off+_tri_idx(i, j)] = conj(wy[i]) * wy[j] * scale
         end
         off += Mu
         # B (full): W_Z†W_X.
         @inbounds for j in 1:mpert, i in 1:mpert
-            wmats_lmda[off + _full_idx(i, j, mpert)] = conj(wz[i]) * wx[j] * scale
+            wmats_lmda[off+_full_idx(i, j, mpert)] = conj(wz[i]) * wx[j] * scale
         end
         off += mpert^2
         # C (full): W_Z†W_Y.
         @inbounds for j in 1:mpert, i in 1:mpert
-            wmats_lmda[off + _full_idx(i, j, mpert)] = conj(wz[i]) * wy[j] * scale
+            wmats_lmda[off+_full_idx(i, j, mpert)] = conj(wz[i]) * wy[j] * scale
         end
         off += mpert^2
         # E (full): W_X†W_Y.
         @inbounds for j in 1:mpert, i in 1:mpert
-            wmats_lmda[off + _full_idx(i, j, mpert)] = conj(wx[i]) * wy[j] * scale
+            wmats_lmda[off+_full_idx(i, j, mpert)] = conj(wx[i]) * wy[j] * scale
         end
     end
 
diff --git a/src/KineticForces/EnergyIntegration.jl b/src/KineticForces/EnergyIntegration.jl
index 36cc1ecef..261c403ce 100644
--- a/src/KineticForces/EnergyIntegration.jl
+++ b/src/KineticForces/EnergyIntegration.jl
@@ -40,10 +40,10 @@ end
 
 Collision frequency ν(x) at normalized energy x = E/T.
 
-- `"zero"`: collisionless (ν = 0)
-- `"small"`: 1e-5 * we
-- `"krook"`: unmodified Krook operator
-- `"harmonic"`: (1 + (l/2)²) * krook * x^(-3/2)
+  - `"zero"`: collisionless (ν = 0)
+  - `"small"`: 1e-5 * we
+  - `"krook"`: unmodified Krook operator
+  - `"harmonic"`: (1 + (l/2)²) * krook * x^(-3/2)
 """
 @inline function _energy_collision_frequency(x::Float64, p::EnergyParams)::Float64
     nux = if p.nutype == "zero"
@@ -188,7 +188,7 @@ Writing `h(x) = N(x)·exp(-x)`, the limit is
 `Ω′ = leff·wb/(2√x) + n·wd`, `Ω″ = −leff·wb/(4·x^{3/2})`.
 """
 @inline function _real_pole_regular_part(xr::Float64, p::EnergyParams, leff::Float64,
-                                                 wb::Float64, n::Int, wd::Float64)::ComplexF64
+    wb::Float64, n::Int, wd::Float64)::ComplexF64
     sx = sqrt(xr)
     op = leff * wb / (2.0 * sx) + n * wd          # Ω′(x_res)
     opp = -leff * wb / (4.0 * xr * sx)            # Ω″(x_res)
@@ -211,8 +211,8 @@ add-back below), and its on-axis `0/0` window by the analytic regular-part limit
 # Real x-space resonant integrand with pole subtractions
 # Explicit function keeps memory allocation out of the QuadGK inner loop.
 @inline function _resonant_integrand(x::Float64, p::EnergyParams,
-        residues::Vector{ComplexF64}, x_poles::Vector{ComplexF64}, npole::Int,
-        leff::Float64, wb::Float64, n::Int, wd::Float64)::ComplexF64
+    residues::Vector{ComplexF64}, x_poles::Vector{ComplexF64}, npole::Int,
+    leff::Float64, wb::Float64, n::Int, wd::Float64)::ComplexF64
     val = _energy_integrand_real(x, p)
     @inbounds for k in 1:npole
         val -= residues[k] / (x - x_poles[k])
@@ -234,8 +234,8 @@ add-back below), and its on-axis `0/0` window by the analytic regular-part limit
 end
 
 function _integrate_energy_resonant(p::EnergyParams, leff::Float64, wb::Float64,
-                                        n::Int, we::Float64, wd::Float64,
-                                        atol::Float64, rtol::Float64, segbuf=nothing)::ComplexF64
+    n::Int, we::Float64, wd::Float64,
+    atol::Float64, rtol::Float64, segbuf=nothing)::ComplexF64
     x_res_list = find_resonance_energies(leff, wb, n, we, wd)   # ≤ 2 roots of a quadratic in √x
     x_poles = ComplexF64[]
     residues = ComplexF64[]
@@ -308,17 +308,18 @@ Distribution function types (`f0type`): `"maxwellian"`, `"jkp"`, `"cgl"`.
 poles are now handled analytically rather than by contour deformation.
 
 # Returns
-- `ComplexF64`: energy integral value
+
+  - `ComplexF64`: energy integral value
 """
 function integrate_energy(wn::Float64, wt::Float64, we::Float64, wd::Float64,
-                              wb::Float64, nuk::Float64, ell::Int, leff::Float64,
-                              n::Int, psi::Float64, lambda::Float64, method::String;
-                              nutype::String="harmonic", f0type::String="maxwellian",
-                              nufac::Float64=1.0, ximag::Float64=0.0, qt::Bool=false,
-                              atol::Float64=1e-7, rtol::Float64=1e-5, segbuf=nothing)::ComplexF64
+    wb::Float64, nuk::Float64, ell::Int, leff::Float64,
+    n::Int, psi::Float64, lambda::Float64, method::String;
+    nutype::String="harmonic", f0type::String="maxwellian",
+    nufac::Float64=1.0, ximag::Float64=0.0, qt::Bool=false,
+    atol::Float64=1e-7, rtol::Float64=1e-5, segbuf=nothing)::ComplexF64
 
     p = EnergyParams(wn, wt, we, wd, wb, nuk, leff, n,
-                     nutype, f0type, nufac, ximag, qt)
+        nutype, f0type, nufac, ximag, qt)
 
     # CGL has no resonance denominator and no pole — integrate the physical
     # x-space integrand directly over the half line (QuadGK maps [0,∞) itself).
@@ -343,19 +344,20 @@ N(x)·exp(-x)/denom(x) at specified x = E/T values. Returns the integrand value
 integrand shape and verifying kinetic resonance resolution.
 
 # Example
+
 ```julia
-x = 10 .^ range(-2, stop=2, length=500)
+x = 10 .^ range(-2; stop=2, length=500)
 f = KineticForces.evaluate_energy_integrand(x; wn=1e3, wt=2e3, we=5e4,
-        wd=1e2, wb=3e4, nuk=1e3, leff=1.0, n=1)
-plot(x, real.(f); xscale=:log10, xlabel="x = E/T", ylabel="Re(integrand)")
+    wd=1e2, wb=3e4, nuk=1e3, leff=1.0, n=1)
+plot(x, real.(f); xscale=:log10, xlabel=\"x = E/T\", ylabel=\"Re(integrand)\")
 ```
 """
 function evaluate_energy_integrand(x_grid::AbstractVector{Float64};
-                                    wn::Float64, wt::Float64, we::Float64,
-                                    wd::Float64, wb::Float64, nuk::Float64,
-                                    leff::Float64, n::Int,
-                                    nutype::String="harmonic", f0type::String="maxwellian",
-                                    nufac::Float64=1.0, ximag::Float64=0.0, qt::Bool=false)
+    wn::Float64, wt::Float64, we::Float64,
+    wd::Float64, wb::Float64, nuk::Float64,
+    leff::Float64, n::Int,
+    nutype::String="harmonic", f0type::String="maxwellian",
+    nufac::Float64=1.0, ximag::Float64=0.0, qt::Bool=false)
     p = EnergyParams(wn, wt, we, wd, wb, nuk, leff, n, nutype, f0type, nufac, ximag, qt)
     return [energy_integrand_scalar(x, p) for x in x_grid]
 end
diff --git a/src/KineticForces/KineticForces.jl b/src/KineticForces/KineticForces.jl
index 1ac79ad22..748d19e64 100644
--- a/src/KineticForces/KineticForces.jl
+++ b/src/KineticForces/KineticForces.jl
@@ -59,11 +59,11 @@ include("CalculatedKineticMatrices.jl")
 # ============================================================================
 const mp = 1.672_614e-27      # proton mass (kg)
 const me = 9.109_1e-31        # electron mass (kg)
-const e  = 1.602_191_7e-19    # elementary charge (C)
+const e = 1.602_191_7e-19    # elementary charge (C)
 const eV = e                  # joules per electron-volt
 
 const twopi = 2π
-const μ₀    = 4e-7 * π
+const μ₀ = 4e-7 * π
 const rad2deg = 180 / π
 const deg2rad = π / 180
 const iunit = 1im               # equivalent to Fortran's (0,1)
diff --git a/src/KineticForces/KineticForcesStructs.jl b/src/KineticForces/KineticForcesStructs.jl
index e4eca2581..5d2505b69 100644
--- a/src/KineticForces/KineticForcesStructs.jl
+++ b/src/KineticForces/KineticForcesStructs.jl
@@ -3,12 +3,13 @@
 
 Single source of truth for the NTV calculation methods. Each entry is a NamedTuple
 `(name, flag, kind, doc)`:
-- `name`  — short method identifier used as the HDF5 group key and in `intr.method`
-- `flag`  — the `KineticForcesControl` field symbol that enables the method
-- `kind`  — dispatch routing tag consumed by `method_kind` / `Torque.jl`
-            (`:gar` for the GAR/matrix family, `:fcgl`/`:rlar`/`:clar` for the
-            three special-cased methods)
-- `doc`   — one-line description printed in verbose output
+
+  - `name`  — short method identifier used as the HDF5 group key and in `intr.method`
+  - `flag`  — the `KineticForcesControl` field symbol that enables the method
+  - `kind`  — dispatch routing tag consumed by `method_kind` / `Torque.jl`
+    (`:gar` for the GAR/matrix family, `:fcgl`/`:rlar`/`:clar` for the
+    three special-cased methods)
+  - `doc`   — one-line description printed in verbose output
 
 The method names/docs and the `Compute.jl` enable list are all derived from this
 tuple, and `Torque.jl` routes on `kind`, so the methods are enumerated in one place.
@@ -77,8 +78,9 @@ User-facing control parameters from the TOML `[KineticForces]` section.
 Configures which NTV methods to run, species parameters, tolerances, and output options.
 
 Constructed via keyword arguments or from a TOML dict:
+
 ```julia
-ctrl = KineticForcesControl(; (Symbol(k) => v for (k, v) in inputs["KineticForces"])...)
+ctrl = KineticForcesControl(; (Symbol(k) => v for (k, v) in inputs[\"KineticForces\"])...)
 ```
 
 Immutable: vary a field by building a new control rather than assigning to one (the
@@ -202,12 +204,13 @@ Internal working state for KineticForces calculations.
 Holds equilibrium-derived quantities, profile interpolants, and integration results.
 
 Fields replacing former module-level globals:
-- `ro`, `bo`, `chi1`: Equilibrium geometry parameters
-- `mthsurf`, `mfac`: Poloidal grid info
-- `dbob_m`, `divx_m`: Perturbation mode interpolants
-- `sing_psis`: Rational-surface ψ locations (sorted, from the stability analysis), used as
-  panel boundaries for the outer ψ torque quadrature so the resonant peaks fall on
-  Gauss-Kronrod interval endpoints instead of driving deep adaptive bisection
+
+  - `ro`, `bo`, `chi1`: Equilibrium geometry parameters
+  - `mthsurf`, `mfac`: Poloidal grid info
+  - `dbob_m`, `divx_m`: Perturbation mode interpolants
+  - `sing_psis`: Rational-surface ψ locations (sorted, from the stability analysis), used as
+    panel boundaries for the outer ψ torque quadrature so the resonant peaks fall on
+    Gauss-Kronrod interval endpoints instead of driving deep adaptive bisection
 
 Equilibrium and kinetic profile data are read directly from the
 `PlasmaEquilibrium` (`equil.profiles`, `equil.geometry`) and the
@@ -297,17 +300,17 @@ function KineticForcesInternal(equil; verbose::Bool=false)
     # Axis toroidal field F(0)/ro that normalizes λ = μ·bo/E; F_spline stores 2πF.
     bo_axis = abs(equil.profiles.F_spline(0.0)) / (2π * equil.ro)
     KineticForcesInternal(;
-        ro      = equil.ro,
-        bo      = bo_axis,
-        chi1    = 2π * equil.psio,
+        ro=equil.ro,
+        bo=bo_axis,
+        chi1=2π * equil.psio,
         mthsurf,
-        tpsi_xs       = collect(range(0.0, 1.0, length=nth)),
-        tpsi_B        = Vector{Float64}(undef, nth),
-        tpsi_dBdpsi   = Vector{Float64}(undef, nth),
-        tpsi_dBdtheta = Vector{Float64}(undef, nth),
-        tpsi_jac      = Vector{Float64}(undef, nth),
-        tpsi_djdpsi   = Vector{Float64}(undef, nth),
-        verbose,
+        tpsi_xs=collect(range(0.0, 1.0; length=nth)),
+        tpsi_B=Vector{Float64}(undef, nth),
+        tpsi_dBdpsi=Vector{Float64}(undef, nth),
+        tpsi_dBdtheta=Vector{Float64}(undef, nth),
+        tpsi_jac=Vector{Float64}(undef, nth),
+        tpsi_djdpsi=Vector{Float64}(undef, nth),
+        verbose
     )
 end
 
@@ -317,15 +320,17 @@ end
 Populate perturbation data from PerturbedEquilibriumState into KineticForcesInternal.
 
 Builds three interpolant sets from PE Clebsch displacements:
-1. `xs_m` — [ξ^ψ, ∂ξ^ψ/∂ψ, ξ^α] CubicSeriesInterpolants over ψ
-2. `dbob_m` — δB/B Fourier modes via JBB deweighting (Fortran set_peq)
-3. `divx_m` — ∇·ξ⊥ Fourier modes via JBB deweighting
+
+ 1. `xs_m` — [ξ^ψ, ∂ξ^ψ/∂ψ, ξ^α] CubicSeriesInterpolants over ψ
+ 2. `dbob_m` — δB/B Fourier modes via JBB deweighting (Fortran set_peq)
+ 3. `divx_m` — ∇·ξ⊥ Fourier modes via JBB deweighting
 
 The JBB deweighting algorithm (Fortran pentrc/inputs.f90:828-868):
-1. Apply geometric matrices S,T,X,Y,Z in m-space
-2. Inverse DFT to θ-space
-3. Divide by J·B² at each θ
-4. Forward DFT back to m-space
+
+ 1. Apply geometric matrices S,T,X,Y,Z in m-space
+ 2. Inverse DFT to θ-space
+ 3. Divide by J·B² at each θ
+ 4. Forward DFT back to m-space
 """
 function set_perturbation_data!(kf_intr::KineticForcesInternal, pe_state::PerturbedEquilibrium.PerturbedEquilibriumState,
                                 ffs::ForceFreeStates.ForceFreeStatesResult,
@@ -399,9 +404,9 @@ function set_perturbation_data!(kf_intr::KineticForcesInternal, pe_state::Pertur
         psi = psi_grid[ipsi]
 
         # Get Clebsch displacement vectors at this ψ
-        xsp  = view(xi_modes.clebsch_psi,  ipsi, :)       # ξ^ψ [mpert]
+        xsp = view(xi_modes.clebsch_psi, ipsi, :)       # ξ^ψ [mpert]
         xmp1 = view(xi_modes.clebsch_psi1, ipsi, :)       # ∂ξ^ψ/∂ψ [mpert]
-        xms  = view(clebsch_alpha_mat, ipsi, :)            # ξ^α [mpert]
+        xms = view(clebsch_alpha_mat, ipsi, :)            # ξ^α [mpert]
 
         # Evaluate geometric matrices at ψ → mpert² flat vectors, reshape to mpert×mpert
         geom_mats.smats(smat_flat, psi; hint=hint_s)
@@ -421,8 +426,8 @@ function set_perturbation_data!(kf_intr::KineticForcesInternal, pe_state::Pertur
         mul!(jbb_kapx, smat, xsp)
         mul!(jbb_kapx, tmat, xms, 1.0 + 0.0im, 1.0 + 0.0im)   # += tmat * xms
         mul!(jbb_divx, xmat, xmp1)
-        mul!(jbb_divx, ymat, xsp,  1.0 + 0.0im, 1.0 + 0.0im)  # += ymat * xsp
-        mul!(jbb_divx, zmat, xms,  1.0 + 0.0im, 1.0 + 0.0im)  # += zmat * xms
+        mul!(jbb_divx, ymat, xsp, 1.0 + 0.0im, 1.0 + 0.0im)  # += ymat * xsp
+        mul!(jbb_divx, zmat, xms, 1.0 + 0.0im, 1.0 + 0.0im)  # += zmat * xms
         @. jbb_dbob = -(jbb_divx + jbb_kapx)
 
         # Inverse DFT to θ-space, divide by J·B², forward DFT back
@@ -449,9 +454,9 @@ Matches Fortran set_peq lines 859-868: transforms JBB-weighted m-space data
 to θ-space, removes the J·B² weighting at each poloidal angle, and transforms back.
 """
 function _jbb_deweight!(out::AbstractVector{ComplexF64}, jbb_modes::Vector{ComplexF64},
-                        ft::Utilities.FourierTransforms.FourierTransform,
-                        psi::Float64, equil::Equilibrium.PlasmaEquilibrium,
-                        mthsurf::Int, theta_buf::Vector{ComplexF64})
+    ft::Utilities.FourierTransforms.FourierTransform,
+    psi::Float64, equil::Equilibrium.PlasmaEquilibrium,
+    mthsurf::Int, theta_buf::Vector{ComplexF64})
     # Inverse DFT: m-space → θ-space
     theta_buf .= Utilities.FourierTransforms.inverse(ft, jbb_modes)
 
@@ -521,8 +526,8 @@ Accumulated results from all KineticForces computations.
 Written to gpec.h5 under the "KineticForces" group.
 """
 @kwdef mutable struct KineticForcesState
-    method_results::Dict{String, MethodResult} = Dict{String, MethodResult}()
+    method_results::Dict{String,MethodResult} = Dict{String,MethodResult}()
     # Block-diagonal kinetic matrices: key=method, value=(numpert_total, numpert_total, 6)
-    kinetic_matrices::Dict{String, Array{ComplexF64,3}} = Dict{String, Array{ComplexF64,3}}()
+    kinetic_matrices::Dict{String,Array{ComplexF64,3}} = Dict{String,Array{ComplexF64,3}}()
     completed::Bool = false
 end
diff --git a/src/KineticForces/Output.jl b/src/KineticForces/Output.jl
index 75f527ae2..96594f06d 100644
--- a/src/KineticForces/Output.jl
+++ b/src/KineticForces/Output.jl
@@ -140,8 +140,9 @@ Write variable-length integration trajectory records using offset-indexed concat
 This is the standard HDF5 ragged array pattern for storing variable-length data.
 
 # Arguments
-- `mg::HDF5.Group`: HDF5 group for this method
-- `records::Vector{EnergyIntegrationResult}`: Integration records to write
+
+  - `mg::HDF5.Group`: HDF5 group for this method
+  - `records::Vector{EnergyIntegrationResult}`: Integration records to write
 """
 function write_integration_records!(mg::HDF5.Group, records::Vector{EnergyIntegrationResult})
     rg = create_group(mg, "EnergyIntegrals")
@@ -173,13 +174,14 @@ end
 Print a summary of KineticForces results to stdout.
 
 # Arguments
-- `state::KineticForcesState`: Accumulated computation results
-- `verbose::Bool`: Print detailed per-surface results
+
+  - `state::KineticForcesState`: Accumulated computation results
+  - `verbose::Bool`: Print detailed per-surface results
 """
 function print_summary(state::KineticForcesState; verbose::Bool=false)
     for (method_name, result) in state.method_results
         @printf("%-8s  T_phi = %11.3e   2n*dW_k = %11.3e\n",
-                method_name, real(result.total_torque), imag(result.total_torque))
+            method_name, real(result.total_torque), imag(result.total_torque))
     end
     if verbose
         for (method_name, _) in state.kinetic_matrices
diff --git a/src/KineticForces/PitchIntegration.jl b/src/KineticForces/PitchIntegration.jl
index 845cfabc9..52fd40ec6 100644
--- a/src/KineticForces/PitchIntegration.jl
+++ b/src/KineticForces/PitchIntegration.jl
@@ -61,15 +61,17 @@ Gauss-Kronrod quadrature. Uses `QuadGK.quadgk!` with an in-place ComplexF64
 kernel buffer.
 
 The fbnce interpolant returns [ωb, ωd, f₁, f₂, ...] at each λ, where:
-- f₁ = ωb|δJ|²/ro² (scalar torque)
-- f₂:end = ωb·W_outer_products/ro² (kinetic matrix elements, if present)
+
+  - f₁ = ωb|δJ|²/ro² (scalar torque)
+  - f₂:end = ωb·W_outer_products/ro² (kinetic matrix elements, if present)
 
 Splits the domain at the trapped/passing boundary so Gauss-Kronrod resolves
 the kink in leff = ell + n*q (circulating) → ell (trapped). One `quadgk!`
 call writes all `nqty` complex quantities per λ-evaluation.
 
 # Returns
-- `Vector{ComplexF64}` of length nqty: integrated pitch-angle results
+
+  - `Vector{ComplexF64}` of length nqty: integrated pitch-angle results
 """
 function integrate_pitch_gar_quadgk(
     wn::Float64, wt::Float64, we::Float64, nuk::Float64,
@@ -129,28 +131,28 @@ function _pitch_gar_kernel_quadgk!(out::Vector{ComplexF64}, lambda, p::PitchGARP
 
     if is_circulating
         xint_co = integrate_energy(p.wn, p.wt, p.we, wd, wb, nueff,
-                                        p.ell, leff, p.n, p.psi, lambda, p.method;
-                                        nutype=p.nutype, f0type=p.f0type,
-                                        nufac=p.nufac, ximag=p.ximag, qt=p.qt,
-                                        atol=p.energy_atol, rtol=p.energy_rtol, segbuf=p.esegbuf)
+            p.ell, leff, p.n, p.psi, lambda, p.method;
+            nutype=p.nutype, f0type=p.f0type,
+            nufac=p.nufac, ximag=p.ximag, qt=p.qt,
+            atol=p.energy_atol, rtol=p.energy_rtol, segbuf=p.esegbuf)
         xint_counter = integrate_energy(p.wn, p.wt, p.we, wd, -wb, nueff,
-                                             p.ell, leff, p.n, p.psi, lambda, p.method;
-                                             nutype=p.nutype, f0type=p.f0type,
-                                             nufac=p.nufac, ximag=p.ximag, qt=p.qt,
-                                             atol=p.energy_atol, rtol=p.energy_rtol, segbuf=p.esegbuf)
+            p.ell, leff, p.n, p.psi, lambda, p.method;
+            nutype=p.nutype, f0type=p.f0type,
+            nufac=p.nufac, ximag=p.ximag, qt=p.qt,
+            atol=p.energy_atol, rtol=p.energy_rtol, segbuf=p.esegbuf)
         xint = xint_co + xint_counter
     else
         xint = integrate_energy(p.wn, p.wt, p.we, wd, wb, nueff,
-                                     p.ell, leff, p.n, p.psi, lambda, p.method;
-                                     nutype=p.nutype, f0type=p.f0type,
-                                     nufac=p.nufac, ximag=p.ximag, qt=p.qt,
-                                     atol=p.energy_atol, rtol=p.energy_rtol)
+            p.ell, leff, p.n, p.psi, lambda, p.method;
+            nutype=p.nutype, f0type=p.f0type,
+            nufac=p.nufac, ximag=p.ximag, qt=p.qt,
+            atol=p.energy_atol, rtol=p.energy_rtol)
     end
 
     xint_decomposed = complex(p.rex * real(xint), p.imx * imag(xint))
 
     @inbounds for i in 1:p.nqty
-        out[i] = fvals[i + 2] * xint_decomposed
+        out[i] = fvals[i+2] * xint_decomposed
     end
     return nothing
 end
@@ -212,8 +214,8 @@ end
     _pitch_gar_kernel_quadgk_wt!(out::Vector{ComplexF64}, lambda, p::PitchGARParams)
 
 Dual-output pitch kernel. Fills a length-`2*nqty` buffer:
-  out[1:nqty]          — fwmm half: `fvals * complex(0, imag(xint))`
-  out[nqty+1:2*nqty]   — ftmm half: `fvals * complex(real(xint), 0)`
+out[1:nqty]          — fwmm half: `fvals * complex(0, imag(xint))`
+out[nqty+1:2*nqty]   — ftmm half: `fvals * complex(real(xint), 0)`
 
 One energy integration per λ; both halves share it.
 """
@@ -229,22 +231,22 @@ function _pitch_gar_kernel_quadgk_wt!(out::Vector{ComplexF64}, lambda, p::PitchG
 
     if is_circulating
         xint_co = integrate_energy(p.wn, p.wt, p.we, wd, wb, nueff,
-                                        p.ell, leff, p.n, p.psi, lambda, p.method;
-                                        nutype=p.nutype, f0type=p.f0type,
-                                        nufac=p.nufac, ximag=p.ximag, qt=p.qt,
-                                        atol=p.energy_atol, rtol=p.energy_rtol, segbuf=p.esegbuf)
+            p.ell, leff, p.n, p.psi, lambda, p.method;
+            nutype=p.nutype, f0type=p.f0type,
+            nufac=p.nufac, ximag=p.ximag, qt=p.qt,
+            atol=p.energy_atol, rtol=p.energy_rtol, segbuf=p.esegbuf)
         xint_counter = integrate_energy(p.wn, p.wt, p.we, wd, -wb, nueff,
-                                             p.ell, leff, p.n, p.psi, lambda, p.method;
-                                             nutype=p.nutype, f0type=p.f0type,
-                                             nufac=p.nufac, ximag=p.ximag, qt=p.qt,
-                                             atol=p.energy_atol, rtol=p.energy_rtol, segbuf=p.esegbuf)
+            p.ell, leff, p.n, p.psi, lambda, p.method;
+            nutype=p.nutype, f0type=p.f0type,
+            nufac=p.nufac, ximag=p.ximag, qt=p.qt,
+            atol=p.energy_atol, rtol=p.energy_rtol, segbuf=p.esegbuf)
         xint = xint_co + xint_counter
     else
         xint = integrate_energy(p.wn, p.wt, p.we, wd, wb, nueff,
-                                     p.ell, leff, p.n, p.psi, lambda, p.method;
-                                     nutype=p.nutype, f0type=p.f0type,
-                                     nufac=p.nufac, ximag=p.ximag, qt=p.qt,
-                                     atol=p.energy_atol, rtol=p.energy_rtol)
+            p.ell, leff, p.n, p.psi, lambda, p.method;
+            nutype=p.nutype, f0type=p.f0type,
+            nufac=p.nufac, ximag=p.ximag, qt=p.qt,
+            atol=p.energy_atol, rtol=p.energy_rtol)
     end
 
     xint_w = complex(0.0, imag(xint))   # fwmm: rex=0, imx=1
@@ -252,9 +254,9 @@ function _pitch_gar_kernel_quadgk_wt!(out::Vector{ComplexF64}, lambda, p::PitchG
 
     nq = p.nqty
     @inbounds for i in 1:nq
-        f = fvals[i + 2]
-        out[i]      = f * xint_w
-        out[i + nq] = f * xint_t
+        f = fvals[i+2]
+        out[i] = f * xint_w
+        out[i+nq] = f * xint_t
     end
     return nothing
 end
diff --git a/src/KineticForces/Torque.jl b/src/KineticForces/Torque.jl
index 1cd40285e..99949647c 100644
--- a/src/KineticForces/Torque.jl
+++ b/src/KineticForces/Torque.jl
@@ -6,36 +6,39 @@ Toroidal torque resulting from nonambipolar transport in perturbed equilibrium.
 Imaginary component is proportional to the kinetic energy Im(T) = 2*n*dW_k.
 
 # Arguments
-- `tpsi_var`: Output complex torque value
-- `psi::Float64`: Normalized poloidal flux
-- `n::Int`: Toroidal mode number
-- `l::Int`: Bounce harmonic number
-- `zi::Int`: Ion charge in fundamental units (e)
-- `mi::Int`: Ion mass (units of proton mass)
-- `wdfac::Float64`: Drift factor
-- `divxfac::Float64`: Divergence factor
-- `electron::Bool`: Calculate quantities for electrons (zi,mi ignored)
-- `method::String`: Integration method (RLAR, CLAR, *GAR, *TMM, *WMM, *KMM)
+
+  - `tpsi_var`: Output complex torque value
+  - `psi::Float64`: Normalized poloidal flux
+  - `n::Int`: Toroidal mode number
+  - `l::Int`: Bounce harmonic number
+  - `zi::Int`: Ion charge in fundamental units (e)
+  - `mi::Int`: Ion mass (units of proton mass)
+  - `wdfac::Float64`: Drift factor
+  - `divxfac::Float64`: Divergence factor
+  - `electron::Bool`: Calculate quantities for electrons (zi,mi ignored)
+  - `method::String`: Integration method (RLAR, CLAR, *GAR, *TMM, *WMM, *KMM)
     where * = F,T,P for full,trapped,passing
-- `equil`: PlasmaEquilibrium with 2D interpolants and named profile/geometry splines
-- `intr::KineticForcesInternal`: Internal state with mode indexing and perturbation splines
-- `kinetic_profiles::Equilibrium.KineticProfileSplines`: Named kinetic-profile splines
+  - `equil`: PlasmaEquilibrium with 2D interpolants and named profile/geometry splines
+  - `intr::KineticForcesInternal`: Internal state with mode indexing and perturbation splines
+  - `kinetic_profiles::Equilibrium.KineticProfileSplines`: Named kinetic-profile splines
     (n_i, n_e, T_i, T_e, ω_E, ν_i, ν_e) loaded from `kinetic.dat`
 
 # Optional Arguments
-- `op_wmats::Array{ComplexF64,3}`: Store ForceFreeStates matrix elements
+
+  - `op_wmats::Array{ComplexF64,3}`: Store ForceFreeStates matrix elements
 
 # Returns
-- `ComplexF64`: Toroidal torque due to nonambipolar transport
+
+  - `ComplexF64`: Toroidal torque due to nonambipolar transport
 """
 function tpsi!(tpsi_var::Ref{ComplexF64}, psi::Float64, n::Int, l::Int,
-              zi::Int, mi::Int, wdfac::Float64, divxfac::Float64,
-              electron::Bool, method::String, equil, intr::KineticForcesInternal,
-              kinetic_profiles::Equilibrium.KineticProfileSplines;
-              op_wmats::Union{Nothing,Array{ComplexF64,3}}=nothing,
-              rex_override::Union{Nothing,Float64}=nothing,
-              imx_override::Union{Nothing,Float64}=nothing,
-              atol_xlmda::Float64=1e-9, rtol_xlmda::Float64=1e-6)
+    zi::Int, mi::Int, wdfac::Float64, divxfac::Float64,
+    electron::Bool, method::String, equil, intr::KineticForcesInternal,
+    kinetic_profiles::Equilibrium.KineticProfileSplines;
+    op_wmats::Union{Nothing,Array{ComplexF64,3}}=nothing,
+    rex_override::Union{Nothing,Float64}=nothing,
+    imx_override::Union{Nothing,Float64}=nothing,
+    atol_xlmda::Float64=1e-9, rtol_xlmda::Float64=1e-6)
 
     # Enforce bounds
     if psi > 1
@@ -72,12 +75,12 @@ function tpsi!(tpsi_var::Ref{ComplexF64}, psi::Float64, n::Int, l::Int,
 
     # Sample poloidal quantities on theta grid (buffers pre-allocated on intr).
     mthsurf_local = intr.mthsurf
-    xs            = intr.tpsi_xs
-    B_vals        = intr.tpsi_B
-    dBdpsi_vals   = intr.tpsi_dBdpsi
+    xs = intr.tpsi_xs
+    B_vals = intr.tpsi_B
+    dBdpsi_vals = intr.tpsi_dBdpsi
     dBdtheta_vals = intr.tpsi_dBdtheta
-    jac_vals      = intr.tpsi_jac
-    djdpsi_vals   = intr.tpsi_djdpsi
+    jac_vals = intr.tpsi_jac
+    djdpsi_vals = intr.tpsi_djdpsi
 
     hB = intr.hint2d_eqfun_B
     hJ = intr.hint2d_rzphi_jac
@@ -144,14 +147,14 @@ function tpsi!(tpsi_var::Ref{ComplexF64}, psi::Float64, n::Int, l::Int,
 
     # Flux-function quantities — read directly from named splines on the
     # PlasmaEquilibrium and the externally-loaded KineticProfileSplines.
-    q       = equil.profiles.q_spline(psi)
-    dVdpsi  = equil.profiles.dVdpsi_spline(psi)
+    q = equil.profiles.q_spline(psi)
+    dVdpsi = equil.profiles.dVdpsi_spline(psi)
     if electron
-        n_s       = kinetic_profiles.ne_spline(psi)
-        T_s       = kinetic_profiles.Te_spline(psi)
+        n_s = kinetic_profiles.ne_spline(psi)
+        T_s = kinetic_profiles.Te_spline(psi)
         dn_s_dpsi = kinetic_profiles.ne_deriv(psi)
         dT_s_dpsi = kinetic_profiles.Te_deriv(psi)
-        nu_s      = kinetic_profiles.nue_spline(psi)
+        nu_s = kinetic_profiles.nue_spline(psi)
     else
         # ni_spline / nui_spline carry THIS species' resonant density and its
         # full-composition collisionality (per-species views built by the loader).
@@ -159,7 +162,7 @@ function tpsi!(tpsi_var::Ref{ComplexF64}, psi::Float64, n::Int, l::Int,
         T_s       = kinetic_profiles.Ti_spline(psi)
         dn_s_dpsi = kinetic_profiles.ni_deriv(psi)
         dT_s_dpsi = kinetic_profiles.Ti_deriv(psi)
-        nu_s      = kinetic_profiles.nui_spline(psi)
+        nu_s = kinetic_profiles.nui_spline(psi)
     end
     welec = kinetic_profiles.omegaE_spline(psi)
 
@@ -167,10 +170,10 @@ function tpsi!(tpsi_var::Ref{ComplexF64}, psi::Float64, n::Int, l::Int,
     # time from the kinetic-profile derivatives — no longer baked into the loader.
     wdian = -twopi * T_s * dn_s_dpsi / (chrg * intr.chi1 * n_s)
     wdiat = -twopi * dT_s_dpsi / (chrg * intr.chi1)
-    wphi  = welec + wdian + wdiat
+    wphi = welec + wdian + wdiat
     wtran = sqrt(2 * T_s / mass) / (q * intr.ro)
     wgyro = chrg * intr.bo / mass
-    nuk   = nu_s
+    nuk = nu_s
 
     rsquared_bmin = equil.rzphi_rsquared((psi, theta_bmin))
     if rsquared_bmin <= 0
@@ -187,7 +190,7 @@ function tpsi!(tpsi_var::Ref{ComplexF64}, psi::Float64, n::Int, l::Int,
 
     avg_r = equil.geometry.avg_r_spline(psi)
     avg_R = equil.geometry.avg_R_spline(psi)
-    epsr  = avg_r / avg_R
+    epsr = avg_r / avg_R
     wbhat = (π / 4) * sqrt(epsr / 2) * wtran
     wdhat = q^3 * wtran^2 / (4 * epsr * wgyro) * wdfac
     nueff = nu_s / (2 * epsr)
@@ -196,17 +199,17 @@ function tpsi!(tpsi_var::Ref{ComplexF64}, psi::Float64, n::Int, l::Int,
     kind = method_kind(method)
     if kind == :fcgl
         tpsi_var[] = calculate_fcgl(psi, n, l, tspl, dbob_m_f, divx_m_f, divxfac,
-                                    n_s, T_s, equil, intr)
+            n_s, T_s, equil, intr)
 
     elseif kind == :rlar
         tpsi_var[] = calculate_rlar(psi, n, l, q, epsr, wdian, wdiat, welec,
-                                    wdhat, wbhat, nueff, dVdpsi, n_s, T_s,
-                                    dbob_m_f, intr.bo, bmin)
+            wdhat, wbhat, nueff, dVdpsi, n_s, T_s,
+            dbob_m_f, intr.bo, bmin)
 
     elseif kind == :clar
         tpsi_var[] = calculate_clar(psi, n, l, q, epsr, wdian, wdiat, welec,
-                                    nuk, intr.bo, bmax, bmin, n_s, T_s, mass, chrg,
-                                    tspl, dbob_m_f, divx_m_f, divxfac, wdfac)
+            nuk, intr.bo, bmax, bmin, n_s, T_s, mass, chrg,
+            tspl, dbob_m_f, divx_m_f, divxfac, wdfac)
 
     else  # :gar — fgar/tgar/pgar + all *mm matrix methods
         # Evaluate geometric matrices at current ψ if matrix path
@@ -223,17 +226,17 @@ function tpsi!(tpsi_var::Ref{ComplexF64}, psi::Float64, n::Int, l::Int,
             zmat_f = reshape(intr.zmats(psi), intr.mpert, intr.mpert)
         end
         tpsi_var[] = calculate_gar(psi, n, l, q, epsr, wdian, wdiat, welec,
-                                   nuk, intr.bo, bmax, bmin, n_s, T_s, mass, chrg,
-                                   tspl, dbob_m_f, divx_m_f, divxfac, wdfac,
-                                   method, op_wmats;
-                                   chi1=intr.chi1, ro=intr.ro, mfac=intr.mfac,
-                                   mpert=intr.mpert, theta_bmax=theta_bmax,
-                                   B_extrap=B_extrap,
-                                   smat=smat_f, tmat=tmat_f, xmat=xmat_f,
-                                   ymat=ymat_f, zmat=zmat_f,
-                                   energy_atol=atol_xlmda, energy_rtol=rtol_xlmda,
-                                   pitch_atol=atol_xlmda, pitch_rtol=rtol_xlmda,
-                                   rex_override=rex_override, imx_override=imx_override)
+            nuk, intr.bo, bmax, bmin, n_s, T_s, mass, chrg,
+            tspl, dbob_m_f, divx_m_f, divxfac, wdfac,
+            method, op_wmats;
+            chi1=intr.chi1, ro=intr.ro, mfac=intr.mfac,
+            mpert=intr.mpert, theta_bmax=theta_bmax,
+            B_extrap=B_extrap,
+            smat=smat_f, tmat=tmat_f, xmat=xmat_f,
+            ymat=ymat_f, zmat=zmat_f,
+            energy_atol=atol_xlmda, energy_rtol=rtol_xlmda,
+            pitch_atol=atol_xlmda, pitch_rtol=rtol_xlmda,
+            rex_override=rex_override, imx_override=imx_override)
     end
 
     return nothing
@@ -255,8 +258,8 @@ Only valid for bounce harmonic l=0.
 Based on: [Logan et al., Phys. Plasmas 2013]
 """
 function calculate_fcgl(psi, n, l, tspl, dbob_m_f, divx_m_f, divxfac::Float64,
-                        n_s::Float64, T_s::Float64, equil,
-                        intr::KineticForcesInternal)::ComplexF64
+    n_s::Float64, T_s::Float64, equil,
+    intr::KineticForcesInternal)::ComplexF64
 
     # Only implemented for l=0
     if l != 0
@@ -267,7 +270,7 @@ function calculate_fcgl(psi, n, l, tspl, dbob_m_f, divx_m_f, divxfac::Float64,
 
     # Create spline for poloidal integrands
     cglspl = zeros(2, mthsurf_local + 1)
-    theta_vals = range(0, 1, length=mthsurf_local + 1)
+    theta_vals = range(0, 1; length=mthsurf_local + 1)
 
     # Evaluate poloidal functions and field perturbations
     hB = intr.hint2d_eqfun_B
@@ -301,8 +304,8 @@ function calculate_fcgl(psi, n, l, tspl, dbob_m_f, divx_m_f, divxfac::Float64,
 
     # Calculate torque: T = 2*n*i*n_s*T_s * [weighted integral]
     result = 2.0 * n * im * n_s * T_s *
-        (0.5 * (5.0/3.0) * integral_1 +
-         0.5 * (1.0/3.0) * integral_2)
+             (0.5 * (5.0/3.0) * integral_1 +
+              0.5 * (1.0/3.0) * integral_2)
 
     return result
 end
@@ -319,9 +322,9 @@ Valid for low aspect ratio tokamaks (ε << 1).
 Reference: [Logan et al., Phys. Plasmas, 2013]
 """
 function calculate_rlar(psi, n, l, q, epsr, wdian, wdiat, welec,
-                        wdhat, wbhat, nueff, dVdpsi::Float64,
-                        n_s::Float64, T_s::Float64,
-                        dbob_m_f, bo, bmin=0.5)::ComplexF64
+    wdhat, wbhat, nueff, dVdpsi::Float64,
+    n_s::Float64, T_s::Float64,
+    dbob_m_f, bo, bmin=0.5)::ComplexF64
 
     # Setup parameters for energy integration
     lnq = Float64(l)  # Resonant mode for trapped particles
@@ -332,11 +335,11 @@ function calculate_rlar(psi, n, l, q, epsr, wdian, wdiat, welec,
     # Energy-space quadrature
     # This computes ∫ K(x) dx where K is the resonance operator
     xint = integrate_energy(wdian, wdiat, welec, wdhat, wbhat, nueff,
-                         l, lnq, n, psi, lmdamax, "rlar")
+        l, lnq, n, psi, lmdamax, "rlar")
 
     # Kappa/bounce averaging (effect of field perturbations)
     # Placeholder: simplified estimate
-    kappaint_val = sqrt(mean(abs.(dbob_m_f).^2))
+    kappaint_val = sqrt(mean(abs.(dbob_m_f) .^ 2))
 
     # dV/dpsi gradient term from Clebsch coordinate Jacobian
     psi_factor = dVdpsi
@@ -363,8 +366,8 @@ Includes bounce-averaged integrals over lambda (pitch angle).
 Status: Partially implemented (stub for full calculation)
 """
 function calculate_clar(psi, n, l, q, epsr, wdian, wdiat, welec, nuk, bo,
-                        bmax, bmin, n_s::Float64, T_s::Float64, mass, chrg, tspl,
-                        dbob_m_f, divx_m_f, divxfac, wdfac)::ComplexF64
+    bmax, bmin, n_s::Float64, T_s::Float64, mass, chrg, tspl,
+    dbob_m_f, divx_m_f, divxfac, wdfac)::ComplexF64
 
     @warn "CLAR method not yet fully implemented, returning zero" maxlog=1
     return ComplexF64(0.0, 0.0)
@@ -384,35 +387,37 @@ Can compute torque (*TMM), energy (*WMM), or matrix elements (*KMM/*RMM).
 Ports Fortran torque.F90 GAR branch (lines 529-932).
 
 # Steps
-1. Compute bounce-averaged quantities via `compute_bounce_data()`
-2. Build fbnce interpolant over λ, normalize for numerical stability
-3. Integrate over pitch angle via `integrate_pitch_gar_quadgk()`
-4. Apply torque normalization (Eq. 19, Logan et al. 2013)
-5. If matrix path: assemble and normalize kinetic matrices
+
+ 1. Compute bounce-averaged quantities via `compute_bounce_data()`
+ 2. Build fbnce interpolant over λ, normalize for numerical stability
+ 3. Integrate over pitch angle via `integrate_pitch_gar_quadgk()`
+ 4. Apply torque normalization (Eq. 19, Logan et al. 2013)
+ 5. If matrix path: assemble and normalize kinetic matrices
 
 # Keyword Arguments (rex/imx override)
-- `rex_override::Union{Nothing,Float64}`: Override real-part multiplier for resonance
-  operator. When both overrides are provided, bypasses method-string derivation.
-- `imx_override::Union{Nothing,Float64}`: Override imaginary-part multiplier.
-  Use `rex_override=1.0, imx_override=1.0` to get full complex result for
-  simultaneous kwmat/ktmat extraction via `compute_kinetic_matrices_at_psi!`.
+
+  - `rex_override::Union{Nothing,Float64}`: Override real-part multiplier for resonance
+    operator. When both overrides are provided, bypasses method-string derivation.
+  - `imx_override::Union{Nothing,Float64}`: Override imaginary-part multiplier.
+    Use `rex_override=1.0, imx_override=1.0` to get full complex result for
+    simultaneous kwmat/ktmat extraction via `compute_kinetic_matrices_at_psi!`.
 
 Reference: [Logan et al., Phys. Plasmas 20, 122507 (2013)]
 """
 function calculate_gar(psi, n, l, q, epsr, wdian, wdiat, welec, nuk, bo,
-                       bmax, bmin, n_s::Float64, T_s::Float64, mass, chrg, tspl,
-                       dbob_m_f, divx_m_f, divxfac, wdfac, method, op_wmats;
-                       chi1::Float64, ro::Float64, mfac::Vector{Int}, mpert::Int,
-                       theta_bmax::Float64, B_extrap,
-                       smat=nothing, tmat=nothing, xmat=nothing,
-                       ymat=nothing, zmat=nothing,
-                       nlmda::Int=128, ntheta::Int=128,
-                       nutype::String="harmonic", f0type::String="maxwellian",
-                       nufac::Float64=1.0, ximag::Float64=0.0, qt::Bool=false,
-                       energy_atol::Float64=1e-7, energy_rtol::Float64=1e-5,
-                       pitch_atol::Float64=1e-9, pitch_rtol::Float64=1e-6,
-                       rex_override::Union{Nothing,Float64}=nothing,
-                       imx_override::Union{Nothing,Float64}=nothing)::ComplexF64
+    bmax, bmin, n_s::Float64, T_s::Float64, mass, chrg, tspl,
+    dbob_m_f, divx_m_f, divxfac, wdfac, method, op_wmats;
+    chi1::Float64, ro::Float64, mfac::Vector{Int}, mpert::Int,
+    theta_bmax::Float64, B_extrap,
+    smat=nothing, tmat=nothing, xmat=nothing,
+    ymat=nothing, zmat=nothing,
+    nlmda::Int=128, ntheta::Int=128,
+    nutype::String="harmonic", f0type::String="maxwellian",
+    nufac::Float64=1.0, ximag::Float64=0.0, qt::Bool=false,
+    energy_atol::Float64=1e-7, energy_rtol::Float64=1e-5,
+    pitch_atol::Float64=1e-9, pitch_rtol::Float64=1e-6,
+    rex_override::Union{Nothing,Float64}=nothing,
+    imx_override::Union{Nothing,Float64}=nothing)::ComplexF64
 
     # Bounce-averaged quantities per pitch angle
     bounce = compute_bounce_data(
@@ -443,7 +448,7 @@ function calculate_gar(psi, n, l, q, epsr, wdian, wdiat, welec, nuk, bo,
         # keeps the historical OLD-path behavior (torque pipeline uses only the
         # real part of the outer products).
         @inbounds for q in 1:nqty_mat, ilmda in 1:bounce.nlmda
-            fbnce_data[ilmda, 3 + q] = real(bounce.wmats_vs_lambda[ilmda, q])
+            fbnce_data[ilmda, 3+q] = real(bounce.wmats_vs_lambda[ilmda, q])
         end
     end
 
@@ -497,7 +502,7 @@ function calculate_gar(psi, n, l, q, epsr, wdian, wdiat, welec, nuk, bo,
         base = 1  # lxint offset after scalar-torque slot (index 1)
 
         # Helper: fetch normalized pitch integral at lxint[base+q] for q ∈ [1..nqty_mat].
-        @inline elem(q) = complex(lxint[base + q] / fbnce_norm[base + q]) * energy_factor
+        @inline elem(q) = complex(lxint[base+q] / fbnce_norm[base+q]) * energy_factor
 
         # A (Hermitian, k=1): upper triangle stored at q ∈ [1..Mu]; mirror to lower.
         off = 0
@@ -586,7 +591,7 @@ without perturbing the perturbative torque pipeline.
 function _setup_surface_state(
     psi::Float64, zi::Int, mi::Int,
     electron::Bool, equil, intr::KineticForcesInternal,
-    kinetic_profiles::Equilibrium.KineticProfileSplines,
+    kinetic_profiles::Equilibrium.KineticProfileSplines
 )
     if electron
         chrg = -1 * e
@@ -597,12 +602,12 @@ function _setup_surface_state(
     end
 
     mthsurf_local = intr.mthsurf
-    xs            = intr.tpsi_xs
-    B_vals        = intr.tpsi_B
-    dBdpsi_vals   = intr.tpsi_dBdpsi
+    xs = intr.tpsi_xs
+    B_vals = intr.tpsi_B
+    dBdpsi_vals = intr.tpsi_dBdpsi
     dBdtheta_vals = intr.tpsi_dBdtheta
-    jac_vals      = intr.tpsi_jac
-    djdpsi_vals   = intr.tpsi_djdpsi
+    jac_vals = intr.tpsi_jac
+    djdpsi_vals = intr.tpsi_djdpsi
 
     hB = intr.hint2d_eqfun_B
     hJ = intr.hint2d_rzphi_jac
@@ -657,17 +662,17 @@ function _setup_surface_state(
 
     q = equil.profiles.q_spline(psi)
     if electron
-        n_s       = kinetic_profiles.ne_spline(psi)
-        T_s       = kinetic_profiles.Te_spline(psi)
+        n_s = kinetic_profiles.ne_spline(psi)
+        T_s = kinetic_profiles.Te_spline(psi)
         dn_s_dpsi = kinetic_profiles.ne_deriv(psi)
         dT_s_dpsi = kinetic_profiles.Te_deriv(psi)
-        nu_s      = kinetic_profiles.nue_spline(psi)
+        nu_s = kinetic_profiles.nue_spline(psi)
     else
-        n_s       = kinetic_profiles.ni_spline(psi)
-        T_s       = kinetic_profiles.Ti_spline(psi)
+        n_s = kinetic_profiles.ni_spline(psi)
+        T_s = kinetic_profiles.Ti_spline(psi)
         dn_s_dpsi = kinetic_profiles.ni_deriv(psi)
         dT_s_dpsi = kinetic_profiles.Ti_deriv(psi)
-        nu_s      = kinetic_profiles.nui_spline(psi)
+        nu_s = kinetic_profiles.nui_spline(psi)
     end
     welec = kinetic_profiles.omegaE_spline(psi)
 
@@ -675,7 +680,7 @@ function _setup_surface_state(
     wdiat = -twopi * dT_s_dpsi / (chrg * intr.chi1)
     wtran = sqrt(2 * T_s / mass) / (q * intr.ro)
     wgyro = chrg * intr.bo / mass
-    nuk   = nu_s
+    nuk = nu_s
 
     rsquared_bmin = equil.rzphi_rsquared((psi, theta_bmin))
     rsquared_bmin > 0 ||
@@ -683,14 +688,14 @@ function _setup_surface_state(
 
     avg_r = equil.geometry.avg_r_spline(psi)
     avg_R = equil.geometry.avg_R_spline(psi)
-    epsr  = avg_r / avg_R
+    epsr = avg_r / avg_R
 
     return (;
         chrg, mass,
         tspl, B_extrap, bmax, bmin, theta_bmax,
         q, n_s, T_s, welec,
         wdian, wdiat, wtran, wgyro, nuk,
-        epsr,
+        epsr
     )
 end
 
@@ -714,8 +719,8 @@ match against Fortran `fourfit.F:1080-1082` (`kwmat_l`, `ktmat_l`).
 
 For the Hermitian-outer-product blocks A/D/H stored as upper-triangles,
 the mirror rule differs between halves:
-  kwmat[j,i] =  conj(kwmat[i,j])   — Hermitian (S_w pure imaginary)
-  ktmat[j,i] = -conj(ktmat[i,j])   — anti-Hermitian (S_t pure real)
+kwmat[j,i] =  conj(kwmat[i,j])   — Hermitian (S_w pure imaginary)
+ktmat[j,i] = -conj(ktmat[i,j])   — anti-Hermitian (S_t pure real)
 Derivation: `conj(S_w) = -S_w` vs `conj(S_t) = S_t`, combined with
 `conj(factor) = -factor` (factor = -i/(2n)). These mirrors recover
 Fortran's independent-slot computation at the mirrored (j,i) positions.
@@ -735,8 +740,8 @@ function kinetic_energy_matrices_for_euler_lagrange!(
     mpert = intr.mpert
     mfac = intr.mfac
     chi1 = intr.chi1
-    ro   = intr.ro
-    bo   = intr.bo
+    ro = intr.ro
+    bo = intr.bo
 
     # Geometric matrices at this ψ
     smat_f = reshape(intr.smats(psi), mpert, mpert)
@@ -805,7 +810,7 @@ function kinetic_energy_matrices_for_euler_lagrange!(
     Mu = (mpert * (mpert + 1)) ÷ 2
     # Fetch normalized element at pitch-integral slot q, from either half.
     # half_offset = 0 for wmm (→kwmat), = nqty for tmm (→ktmat).
-    @inline elem(q, half_offset) = complex(lxint[half_offset + q] / fbnce_norm[q]) * energy_factor
+    @inline elem(q, half_offset) = complex(lxint[half_offset+q] / fbnce_norm[q]) * energy_factor
 
     # For A/D/H Hermitian-outer-product blocks stored as upper-triangles, the
     # lower-triangle reconstruction uses different mirrors per half:
@@ -829,11 +834,16 @@ function kinetic_energy_matrices_for_euler_lagrange!(
 
     for (dest, half, mirror_sign) in ((kwmat, 0, 1.0), (ktmat, nqty, -1.0))
         off = 0
-        _assemble_hermitian!(dest, 1, off, half, mirror_sign);  off += Mu        # A (k=1)
-        _assemble_hermitian!(dest, 4, off, half, mirror_sign);  off += Mu        # D (k=4)
-        _assemble_hermitian!(dest, 6, off, half, mirror_sign);  off += Mu        # H (k=6)
-        _assemble_full!(dest, 2, off, half);                    off += mpert^2   # B (k=2)
-        _assemble_full!(dest, 3, off, half);                    off += mpert^2   # C (k=3)
+        _assemble_hermitian!(dest, 1, off, half, mirror_sign)
+        off += Mu        # A (k=1)
+        _assemble_hermitian!(dest, 4, off, half, mirror_sign)
+        off += Mu        # D (k=4)
+        _assemble_hermitian!(dest, 6, off, half, mirror_sign)
+        off += Mu        # H (k=6)
+        _assemble_full!(dest, 2, off, half)
+        off += mpert^2   # B (k=2)
+        _assemble_full!(dest, 3, off, half)
+        off += mpert^2   # C (k=3)
         _assemble_full!(dest, 5, off, half)                                      # E (k=5)
     end
 
@@ -875,14 +885,15 @@ adjoint combinations `kwmat ± ktmat` in `ForceFreeStates/Kinetic.jl` /
 Fortran `dcon/sing.f:967-1075` for non-Hermitian B_k, C_k, E_k.
 
 # Arguments
-- `kwmat::Array{ComplexF64,3}`: Output (mpert×mpert×6), fwmm half, zeroed on entry
-- `ktmat::Array{ComplexF64,3}`: Output (mpert×mpert×6), ftmm half, zeroed on entry
-- `psi, n, l, zi, mi, wdfac, divxfac, electron`: Same as `tpsi!` (divxfac unused
-  on the matrix path — retained for call-site compatibility)
-- `equil`: PlasmaEquilibrium
-- `intr::KineticForcesInternal`: Internal state with mode indexing, geometric
-  matrices (smats/tmats/xmats/ymats/zmats), and per-surface θ-grid buffers
-- `kinetic_profiles::Equilibrium.KineticProfileSplines`: Named kinetic-profile splines
+
+  - `kwmat::Array{ComplexF64,3}`: Output (mpert×mpert×6), fwmm half, zeroed on entry
+  - `ktmat::Array{ComplexF64,3}`: Output (mpert×mpert×6), ftmm half, zeroed on entry
+  - `psi, n, l, zi, mi, wdfac, divxfac, electron`: Same as `tpsi!` (divxfac unused
+    on the matrix path — retained for call-site compatibility)
+  - `equil`: PlasmaEquilibrium
+  - `intr::KineticForcesInternal`: Internal state with mode indexing, geometric
+    matrices (smats/tmats/xmats/ymats/zmats), and per-surface θ-grid buffers
+  - `kinetic_profiles::Equilibrium.KineticProfileSplines`: Named kinetic-profile splines
 
 Reference: [Logan et al., Phys. Plasmas 20, 122507 (2013)]
 """
@@ -904,7 +915,7 @@ function compute_kinetic_matrices_at_psi!(
     end
 
     state = _setup_surface_state(psi, zi, mi, electron,
-                                  equil, intr, kinetic_profiles)
+        equil, intr, kinetic_profiles)
 
     kinetic_energy_matrices_for_euler_lagrange!(
         kwmat, ktmat, state, psi, n, l, wdfac, intr;
@@ -914,5 +925,3 @@ function compute_kinetic_matrices_at_psi!(
 
     return nothing
 end
-
-
diff --git a/src/KineticForces/Utils.jl b/src/KineticForces/Utils.jl
index 51c0cd3a8..0be9b3406 100644
--- a/src/KineticForces/Utils.jl
+++ b/src/KineticForces/Utils.jl
@@ -44,7 +44,7 @@ in `psi_panel_points`).
 function _resonance_nodes_from_frequencies(wbhat_f, welec_f, wdhat_f, grid; n::Int, nl::Int, xeval::Float64=2.5)
     nodes = Float64[]
     sx = sqrt(xeval)
-    for l in -nl:nl
+    for l in (-nl):nl
         append!(nodes, find_sign_change_roots(psi -> l * wbhat_f(psi) * sx + n * (welec_f(psi) + wdhat_f(psi) * xeval), grid))
     end
     return nodes
@@ -71,7 +71,7 @@ the estimate degenerates. Panel placement only needs ~peak-width accuracy, so th
 estimates (single spline evaluations) are sufficient and no bounce averaging is performed.
 """
 function kinetic_resonance_psi_nodes(kinetic_profiles::Equilibrium.KineticProfileSplines, equil;
-                                     n::Int, nl::Int, zi::Int=1, mi::Int=2, electron::Bool=false, wdfac::Float64=1.0, xeval::Float64=2.5)
+    n::Int, nl::Int, zi::Int=1, mi::Int=2, electron::Bool=false, wdfac::Float64=1.0, xeval::Float64=2.5)
     chrg = electron ? -e : zi * e
     mass = electron ? me : mi * mp
     T_spline = electron ? kinetic_profiles.Te_spline : kinetic_profiles.Ti_spline
diff --git a/src/LocalStability/Ballooning.jl b/src/LocalStability/Ballooning.jl
index 2add47a62..5f11e9992 100644
--- a/src/LocalStability/Ballooning.jl
+++ b/src/LocalStability/Ballooning.jl
@@ -755,17 +755,18 @@ function ballooning_alpha_crossings(
     # Δ' as a function of the α scaling at fixed magnetic shear. Failed evaluations
     # (extreme corrections can break the coefficient assembly) count as non-stable
     # samples and are rejected by the crossing classification, like in scan_delta_prime_map.
-    delta_at(scale) = try
-        ballooning_delta_prime(
-            psi_idx,
-            plasma_eq;
-            corr_qprime=0.0,
-            corr_pprime=ref.pprime_norm_ref * (scale - 1.0),
-            theta_k=theta_k
-        ).delta_prime
-    catch
-        NaN
-    end
+    delta_at(scale) =
+        try
+            ballooning_delta_prime(
+                psi_idx,
+                plasma_eq;
+                corr_qprime=0.0,
+                corr_pprime=ref.pprime_norm_ref * (scale - 1.0),
+                theta_k=theta_k
+            ).delta_prime
+        catch
+            NaN
+        end
 
     samples = collect(range(0.0, max_alpha_scale; length=n_scan + 1))
     scales = _ballooning_marginal_crossings(delta_at, samples, tol; max_crossings=max_crossings)
@@ -796,7 +797,7 @@ function _ballooning_marginal_crossings(delta_at, samples, tol; pole_cap=3.0, ma
     k0 == 0 && return Float64[]
     d_anchor = abs(d_prev)
     locs = Float64[]
-    for k in k0+1:n
+    for k in (k0+1):n
         d = delta_at(samples[k])
         if isfinite(d_prev) && isfinite(d) && sign(d) != sign(d_prev) && max(abs(d_prev), abs(d)) <= pole_cap * d_anchor
             lo, hi = samples[k-1], samples[k]
@@ -981,17 +982,18 @@ function ballooning_qprime_crossings(
     # Δ' as a function of the q' scaling at the experimental pressure gradient. Failed
     # evaluations (reversed-shear corrections can break the coefficient assembly) count
     # as non-stable samples and are rejected by the crossing classification.
-    delta_at(scale) = try
-        ballooning_delta_prime(
-            psi_idx,
-            plasma_eq;
-            corr_qprime=ref.qprime_norm_ref * (scale - 1.0),
-            corr_pprime=0.0,
-            theta_k=theta_k
-        ).delta_prime
-    catch
-        NaN
-    end
+    delta_at(scale) =
+        try
+            ballooning_delta_prime(
+                psi_idx,
+                plasma_eq;
+                corr_qprime=ref.qprime_norm_ref * (scale - 1.0),
+                corr_pprime=0.0,
+                theta_k=theta_k
+            ).delta_prime
+        catch
+            NaN
+        end
 
     samples = collect(range(max_qprime_scale, min_qprime_scale; length=n_scan + 1))
     scales = _ballooning_marginal_crossings(delta_at, samples, tol)
diff --git a/src/PerturbedEquilibrium/FieldReconstruction.jl b/src/PerturbedEquilibrium/FieldReconstruction.jl
index 65f36ee51..f4532c6ef 100644
--- a/src/PerturbedEquilibrium/FieldReconstruction.jl
+++ b/src/PerturbedEquilibrium/FieldReconstruction.jl
@@ -980,10 +980,12 @@ function _apply_rzphi_transform(
     # Per-thread scratch (the immutable `ft` functor and `geom` are shared read-only): θ-space
     # transform inputs/outputs (length mtheta) and mode-space forward-DFT outputs (length mpert),
     # so the DFTs run in place with no per-surface allocation.
-    bufs = [(R=zeros(ComplexF64, mtheta), Z=zeros(ComplexF64, mtheta), P=zeros(ComplexF64, mtheta),
-             psi=zeros(ComplexF64, mtheta), th=zeros(ComplexF64, mtheta), ze=zeros(ComplexF64, mtheta),
-             Ro=zeros(ComplexF64, mpert), Zo=zeros(ComplexF64, mpert), Po=zeros(ComplexF64, mpert))
-            for _ in 1:Threads.maxthreadid()]
+    bufs = [
+        (R=zeros(ComplexF64, mtheta), Z=zeros(ComplexF64, mtheta), P=zeros(ComplexF64, mtheta),
+            psi=zeros(ComplexF64, mtheta), th=zeros(ComplexF64, mtheta), ze=zeros(ComplexF64, mtheta),
+            Ro=zeros(ComplexF64, mpert), Zo=zeros(ComplexF64, mpert), Po=zeros(ComplexF64, mpert))
+        for _ in 1:Threads.maxthreadid()
+    ]
 
     Threads.@threads :static for ipsi in 1:npsi
         buf = bufs[Threads.threadid()]
diff --git a/src/PerturbedEquilibrium/PerturbedEquilibriumStructs.jl b/src/PerturbedEquilibrium/PerturbedEquilibriumStructs.jl
index d8251de38..aa1250030 100644
--- a/src/PerturbedEquilibrium/PerturbedEquilibriumStructs.jl
+++ b/src/PerturbedEquilibrium/PerturbedEquilibriumStructs.jl
@@ -26,7 +26,9 @@ Medium Priority (defer for MWE):
   - `singular_point_method::String` - Method for singular point treatment (default: "standard")
 
 Regularization:
-    # High Priority (MWE)
+
+# High Priority (MWE)
+
   - `reg_spot::Float64` - Regularization width for singular surface smoothing (default: 0.05). Set to 0 to disable. Must be ≥ 0.
 """
 @kwdef struct PerturbedEquilibriumControl
@@ -121,6 +123,7 @@ Metadata [n_rational] — identifies each (surface, n) row:
 
 Control-surface forcing/response spectra [numpert_total], in the three Pharr (2026) field
 representations (all tesla; no flux/weber is stored):
+
   - `forcing_b`/`response_b` - bare normal field b (Σ⁻¹·b̃)
   - `forcing_b_rootarea`/`response_b_rootarea` - root-area-weighted field b̃ (coordinate-invariant)
   - `forcing_b_area`/`response_b_area` - area-weighted field b̄ (= S·b̃; flux is Φ = A·b̄)
@@ -185,18 +188,18 @@ well-conditioned flux-space inductances L, Λ:
     rational_surface_idx::Vector{Int} = Int[]
 
     # Control-surface forcing/response spectra in the three weightings of field representations [numpert_total], tesla
-    forcing_b::Vector{ComplexF64}           = ComplexF64[]  # bare normal field b (forcing Φ_x)
-    forcing_b_rootarea::Vector{ComplexF64}  = ComplexF64[]  # root-area-weighted field b̃ (coordinate-invariant)
-    forcing_b_area::Vector{ComplexF64}      = ComplexF64[]  # area-weighted field b̄
-    response_b::Vector{ComplexF64}          = ComplexF64[]  # bare normal field b (response Φ_tot = P·Φ_x)
+    forcing_b::Vector{ComplexF64} = ComplexF64[]  # bare normal field b (forcing Φ_x)
+    forcing_b_rootarea::Vector{ComplexF64} = ComplexF64[]  # root-area-weighted field b̃ (coordinate-invariant)
+    forcing_b_area::Vector{ComplexF64} = ComplexF64[]  # area-weighted field b̄
+    response_b::Vector{ComplexF64} = ComplexF64[]  # bare normal field b (response Φ_tot = P·Φ_x)
     response_b_rootarea::Vector{ComplexF64} = ComplexF64[]  # root-area-weighted field b̃
-    response_b_area::Vector{ComplexF64}     = ComplexF64[]  # area-weighted field b̄
+    response_b_area::Vector{ComplexF64} = ComplexF64[]  # area-weighted field b̄
 
     # Control surface matrices [numpert_total × numpert_total], root-area-weighted field (b̃) space
-    plasma_inductance::Matrix{ComplexF64}  = zeros(ComplexF64, 0, 0)  # Λ̃ (field space)
+    plasma_inductance::Matrix{ComplexF64} = zeros(ComplexF64, 0, 0)  # Λ̃ (field space)
     surface_inductance::Matrix{ComplexF64} = zeros(ComplexF64, 0, 0)  # L̃ (field space)
-    permeability::Matrix{ComplexF64}       = zeros(ComplexF64, 0, 0)  # P̃ = R⁻¹·Λ·L⁻¹·R
-    reluctance::Matrix{ComplexF64}         = zeros(ComplexF64, 0, 0)  # ϱ̃ = R†·L⁻¹·(Λ−L)·L⁻¹·R
+    permeability::Matrix{ComplexF64} = zeros(ComplexF64, 0, 0)  # P̃ = R⁻¹·Λ·L⁻¹·R
+    reluctance::Matrix{ComplexF64} = zeros(ComplexF64, 0, 0)  # ϱ̃ = R†·L⁻¹·(Λ−L)·L⁻¹·R
     rootarea_to_area_weight::Matrix{ComplexF64} = zeros(ComplexF64, 0, 0)  # S = Σ/√A at psilim: b̃→b̄ recovery operator
     surface_area::Float64 = 0.0  # scalar control-surface area A = ∫J|∇ψ|dθ (flux: Φ = A·b̄; conform R = S·A)
 
diff --git a/src/PerturbedEquilibrium/Utils.jl b/src/PerturbedEquilibrium/Utils.jl
index fc1eb9c0a..38be26f87 100644
--- a/src/PerturbedEquilibrium/Utils.jl
+++ b/src/PerturbedEquilibrium/Utils.jl
@@ -12,8 +12,9 @@ avoiding repeated index arithmetic throughout the code.
 ## Mode Indexing Convention
 
 For linear index i ∈ [1, numpert_total]:
-- m_modes[i] = (i-1) % mpert + mlow
-- n_modes[i] = (i-1) ÷ mpert + nlow
+
+  - m_modes[i] = (i-1) % mpert + mlow
+  - n_modes[i] = (i-1) ÷ mpert + nlow
 
 This matches the convention used in ForceFreeStates where modes are ordered as:
 (m1,n1), (m2,n1), ..., (mpert,n1), (m1,n2), (m2,n2), ..., (mpert,npert)
@@ -110,47 +111,47 @@ function write_outputs_to_HDF5(
 
         # Forcing modes
         forcing_group = haskey(pe_group, "ForcingModes") ? pe_group["ForcingModes"] : create_group(pe_group, "ForcingModes")
-        forcing_group["n"]         = [mode.n for mode in intr.forcing_modes]
-        forcing_group["m"]         = [mode.m for mode in intr.forcing_modes]
+        forcing_group["n"] = [mode.n for mode in intr.forcing_modes]
+        forcing_group["m"] = [mode.m for mode in intr.forcing_modes]
         forcing_group["amplitude"] = [mode.amplitude for mode in intr.forcing_modes]
 
         # Control-surface forcing/response spectra in the three Pharr field representations
         # (all tesla; flux/weber is never stored). b̃ = root-area-weighted (coordinate-invariant).
-        !isempty(state.forcing_b)           && (pe_group["forcing_b"]            = state.forcing_b)
-        !isempty(state.forcing_b_rootarea)  && (pe_group["forcing_b_root_area"]  = state.forcing_b_rootarea)
-        !isempty(state.forcing_b_area)      && (pe_group["forcing_b_area"]       = state.forcing_b_area)
-        !isempty(state.response_b)          && (pe_group["response_b"]           = state.response_b)
+        !isempty(state.forcing_b) && (pe_group["forcing_b"] = state.forcing_b)
+        !isempty(state.forcing_b_rootarea) && (pe_group["forcing_b_root_area"] = state.forcing_b_rootarea)
+        !isempty(state.forcing_b_area) && (pe_group["forcing_b_area"] = state.forcing_b_area)
+        !isempty(state.response_b) && (pe_group["response_b"] = state.response_b)
         !isempty(state.response_b_rootarea) && (pe_group["response_b_root_area"] = state.response_b_rootarea)
-        !isempty(state.response_b_area)     && (pe_group["response_b_area"]      = state.response_b_area)
+        !isempty(state.response_b_area) && (pe_group["response_b_area"] = state.response_b_area)
 
         # Control surface matrices [numpert_total × numpert_total], in coordinate-invariant
         # root-area-weighted field (b̃) space. Recover the area-weighted field b̄ with the stored
         # operator S ≡ rootarea_to_area_weight (b̄ = S·b̃): e.g. L_b̄ = S·L̃·S†; recover flux with the
         # scalar surface_area A: Φ = A·b̄  (internally R = S·A, Φ = R·b̃). [Pharr 2026]
         mat_group = haskey(pe_group, "ResponseMatrices") ? pe_group["ResponseMatrices"] : create_group(pe_group, "ResponseMatrices")
-        !isempty(state.plasma_inductance)  && (mat_group["plasma_inductance"]  = state.plasma_inductance)
+        !isempty(state.plasma_inductance) && (mat_group["plasma_inductance"] = state.plasma_inductance)
         !isempty(state.surface_inductance) && (mat_group["surface_inductance"] = state.surface_inductance)
-        !isempty(state.permeability)       && (mat_group["permeability"]       = state.permeability)
-        !isempty(state.reluctance)         && (mat_group["reluctance"]         = state.reluctance)
+        !isempty(state.permeability) && (mat_group["permeability"] = state.permeability)
+        !isempty(state.reluctance) && (mat_group["reluctance"] = state.reluctance)
         !isempty(state.rootarea_to_area_weight) && (mat_group["rootarea_to_area_weight_operator"] = state.rootarea_to_area_weight)
-        (state.surface_area != 0.0)        && (mat_group["surface_area"]       = state.surface_area)
+        (state.surface_area != 0.0) && (mat_group["surface_area"] = state.surface_area)
 
         # Response fields (ComplexF64 directly)
         response_group = haskey(pe_group, "Response") ? pe_group["Response"] : create_group(pe_group, "Response")
         !isempty(state.psi_grid) && (response_group["psi"] = state.psi_grid)
         have_xi = !isnothing(state.xi_modes)
-        have_b  = have_xi && !isnothing(state.b_modes)
-        response_group["xi_psi"]    = have_xi ? state.xi_modes.psi      : ComplexF64[]
-        response_group["b_psi_area_weighted"]  = have_b  ? state.b_modes.b_psi_area_weighted : ComplexF64[]
-        response_group["Jb_theta"]   = have_b  ? state.b_modes.theta    : ComplexF64[]
-        response_group["Jb_zeta"]    = have_b  ? state.b_modes.zeta     : ComplexF64[]
-        response_group["b_n"]       = !isnothing(state.b_n_modes)  ? state.b_n_modes  : ComplexF64[]
-        response_group["xi_n"]      = !isnothing(state.xi_n_modes) ? state.xi_n_modes : ComplexF64[]
+        have_b = have_xi && !isnothing(state.b_modes)
+        response_group["xi_psi"] = have_xi ? state.xi_modes.psi : ComplexF64[]
+        response_group["b_psi_area_weighted"] = have_b ? state.b_modes.b_psi_area_weighted : ComplexF64[]
+        response_group["Jb_theta"] = have_b ? state.b_modes.theta : ComplexF64[]
+        response_group["Jb_zeta"] = have_b ? state.b_modes.zeta : ComplexF64[]
+        response_group["b_n"] = !isnothing(state.b_n_modes) ? state.b_n_modes : ComplexF64[]
+        response_group["xi_n"] = !isnothing(state.xi_n_modes) ? state.xi_n_modes : ComplexF64[]
 
         # Clebsch displacements for PENTRC (matches Fortran gpout_xclebsch)
         if have_xi
-            response_group["xi_clebsch_psi"]   = state.xi_modes.clebsch_psi
-            response_group["dxi_clebsch_psidpsi"]  = state.xi_modes.clebsch_psi1
+            response_group["xi_clebsch_psi"] = state.xi_modes.clebsch_psi
+            response_group["dxi_clebsch_psidpsi"] = state.xi_modes.clebsch_psi1
             response_group["xi_clebsch_alpha"] = state.xi_modes.clebsch_alpha
         end
 
@@ -158,36 +159,36 @@ function write_outputs_to_HDF5(
         if have_xi
             response_group["Jxi_psi"] = state.xi_modes.psi_J
             response_group["Jxi_theta"] = state.xi_modes.theta
-            response_group["Jxi_zeta"]  = state.xi_modes.zeta
+            response_group["Jxi_zeta"] = state.xi_modes.zeta
         end
 
         # Covariant components (from gpeq_cova)
         if have_xi
-            response_group["xi_cov_psi"]   = state.xi_modes.cova_psi
+            response_group["xi_cov_psi"] = state.xi_modes.cova_psi
             response_group["xi_cov_theta"] = state.xi_modes.cova_theta
-            response_group["xi_cov_zeta"]  = state.xi_modes.cova_zeta
+            response_group["xi_cov_zeta"] = state.xi_modes.cova_zeta
         end
         if have_xi
             response_group["Jxi_theta_reg"] = state.xi_modes.theta_reg
-            response_group["Jxi_zeta_reg"]  = state.xi_modes.zeta_reg
+            response_group["Jxi_zeta_reg"] = state.xi_modes.zeta_reg
         end
         if have_b
             response_group["Jb_theta_reg"] = state.b_modes.theta_reg
-            response_group["Jb_zeta_reg"]  = state.b_modes.zeta_reg
-            response_group["b_cov_psi"]   = state.b_modes.cova_psi
+            response_group["Jb_zeta_reg"] = state.b_modes.zeta_reg
+            response_group["b_cov_psi"] = state.b_modes.cova_psi
             response_group["b_cov_theta"] = state.b_modes.cova_theta
-            response_group["b_cov_zeta"]  = state.b_modes.cova_zeta
+            response_group["b_cov_zeta"] = state.b_modes.cova_zeta
         end
 
         # R,Z,φ cylindrical components in mode-space (from gpeq_rzphi)
         if have_xi
-            response_group["xi_R"]   = state.xi_modes.R
-            response_group["xi_Z"]   = state.xi_modes.Z
+            response_group["xi_R"] = state.xi_modes.R
+            response_group["xi_Z"] = state.xi_modes.Z
             response_group["xi_phi"] = state.xi_modes.phi
         end
         if have_b
-            response_group["b_R"]   = state.b_modes.R
-            response_group["b_Z"]   = state.b_modes.Z
+            response_group["b_R"] = state.b_modes.R
+            response_group["b_Z"] = state.b_modes.Z
             response_group["b_phi"] = state.b_modes.phi
         end
 
@@ -195,34 +196,34 @@ function write_outputs_to_HDF5(
         coupling_group = haskey(pe_group, "SingularCoupling") ? pe_group["SingularCoupling"] : create_group(pe_group, "SingularCoupling")
 
         # Coupling matrices [n_rational × numpert_total]
-        !isempty(state.C_resonant_area_weighted_field)   && (coupling_group["C_resonant_area_weighted_field"]   = state.C_resonant_area_weighted_field)
+        !isempty(state.C_resonant_area_weighted_field) && (coupling_group["C_resonant_area_weighted_field"] = state.C_resonant_area_weighted_field)
         !isempty(state.C_resonant_current) && (coupling_group["C_resonant_current"] = state.C_resonant_current)
-        !isempty(state.C_island_width_sq)  && (coupling_group["C_island_width_sq"]  = state.C_island_width_sq)
+        !isempty(state.C_island_width_sq) && (coupling_group["C_island_width_sq"] = state.C_island_width_sq)
         !isempty(state.C_penetrated_area_weighted_field) && (coupling_group["C_penetrated_area_weighted_field"] = state.C_penetrated_area_weighted_field)
-        !isempty(state.C_delta_prime)      && (coupling_group["C_Delta_prime"]      = state.C_delta_prime)
+        !isempty(state.C_delta_prime) && (coupling_group["C_Delta_prime"] = state.C_delta_prime)
 
         # Applied resonant vectors [n_rational]
-        !isempty(state.resonant_area_weighted_field)     && (coupling_group["resonant_area_weighted_field"]     = state.resonant_area_weighted_field)
-        !isempty(state.resonant_current)   && (coupling_group["resonant_current"]   = state.resonant_current)
-        !isempty(state.island_width_sq)    && (coupling_group["island_width_sq"]    = state.island_width_sq)
-        !isempty(state.penetrated_area_weighted_field)   && (coupling_group["penetrated_area_weighted_field"] = state.penetrated_area_weighted_field)
-        !isempty(state.delta_prime)        && (coupling_group["Delta_prime"]        = state.delta_prime)
-        !isempty(state.forcing_solution_weights)         && (coupling_group["forcing_solution_weights"] = state.forcing_solution_weights)
+        !isempty(state.resonant_area_weighted_field) && (coupling_group["resonant_area_weighted_field"] = state.resonant_area_weighted_field)
+        !isempty(state.resonant_current) && (coupling_group["resonant_current"] = state.resonant_current)
+        !isempty(state.island_width_sq) && (coupling_group["island_width_sq"] = state.island_width_sq)
+        !isempty(state.penetrated_area_weighted_field) && (coupling_group["penetrated_area_weighted_field"] = state.penetrated_area_weighted_field)
+        !isempty(state.delta_prime) && (coupling_group["Delta_prime"] = state.delta_prime)
+        !isempty(state.forcing_solution_weights) && (coupling_group["forcing_solution_weights"] = state.forcing_solution_weights)
         !isempty(state.rational_area) && (coupling_group["rational_area"] = state.rational_area)
-        !isempty(state.island_half_width)  && (coupling_group["island_half_width"]  = state.island_half_width)
+        !isempty(state.island_half_width) && (coupling_group["island_half_width"] = state.island_half_width)
         !isempty(state.chirikov_parameter) && (coupling_group["chirikov_parameter"] = state.chirikov_parameter)
 
         # Metadata [n_rational]
-        !isempty(state.rational_psi)       && (coupling_group["rational_psi"]       = state.rational_psi)
-        !isempty(state.rational_q)         && (coupling_group["rational_q"]         = state.rational_q)
-        !isempty(state.rational_m_res)     && (coupling_group["rational_m"]     = state.rational_m_res)
-        !isempty(state.rational_n)         && (coupling_group["rational_n"]         = state.rational_n)
+        !isempty(state.rational_psi) && (coupling_group["rational_psi"] = state.rational_psi)
+        !isempty(state.rational_q) && (coupling_group["rational_q"] = state.rational_q)
+        !isempty(state.rational_m_res) && (coupling_group["rational_m"] = state.rational_m_res)
+        !isempty(state.rational_n) && (coupling_group["rational_n"] = state.rational_n)
 
         # Energies
         energy_group = haskey(pe_group, "Energies") ? pe_group["Energies"] : create_group(pe_group, "Energies")
-        energy_group["vacuum_energy"]   = state.vacuum_energy
-        energy_group["surface_energy"]  = state.surface_energy
-        energy_group["plasma_energy"]   = state.plasma_energy
+        energy_group["vacuum_energy"] = state.vacuum_energy
+        energy_group["surface_energy"] = state.surface_energy
+        energy_group["plasma_energy"] = state.plasma_energy
         energy_group["toroidal_torque"] = state.toroidal_torque
 
         annotate_pe!(pe_group)
@@ -261,7 +262,8 @@ const PE_H5_ANNOTATIONS = [
     "Response/xi_cov_psi" => (; long_name="covariant radial displacement ξ_ψ = ξ·e_ψ", units="m^2", dims=("psi", "mode"), attach=(1 => "Response/psi",)),
     "Response/xi_cov_theta" => (; long_name="covariant poloidal displacement ξ_θ = ξ·e_θ", units="m^2", dims=("psi", "mode"), attach=(1 => "Response/psi",)),
     "Response/xi_cov_zeta" => (; long_name="covariant toroidal displacement ξ_ζ = ξ·e_ζ", units="m^2", dims=("psi", "mode"), attach=(1 => "Response/psi",)),
-    "Response/xi_clebsch_psi" => (; long_name="Clebsch displacement component ξ^ψ (PENTRC input, gpout_xclebsch convention)", dims=("psi", "mode"), attach=(1 => "Response/psi",)),
+    "Response/xi_clebsch_psi" =>
+        (; long_name="Clebsch displacement component ξ^ψ (PENTRC input, gpout_xclebsch convention)", dims=("psi", "mode"), attach=(1 => "Response/psi",)),
     "Response/dxi_clebsch_psidpsi" =>
         (; long_name="regularized ψ_N derivative of ξ^ψ (× singfac²/(singfac²+reg_spot²))", dims=("psi", "mode"), attach=(1 => "Response/psi",)),
     "Response/xi_clebsch_alpha" =>
diff --git a/src/Rerun.jl b/src/Rerun.jl
index 03c19bea6..a71401637 100644
--- a/src/Rerun.jl
+++ b/src/Rerun.jl
@@ -37,7 +37,8 @@ function read_equilibrium_ingest(in_h5)
     haskey(in_h5, group_path) || return nothing
     group = in_h5[group_path]
     kind = read(group, "ingest_kind")
-    T = kind == "direct" ? Equilibrium.DirectIngest :
+    T =
+        kind == "direct" ? Equilibrium.DirectIngest :
         kind == "inverse" ? Equilibrium.InverseIngest :
         error("Unknown equilibrium ingest_kind in gpec.h5: $kind (expected \"direct\" or \"inverse\")")
     # Positional reconstruction: relies on the default constructor, so `fieldnames(T)` order
@@ -75,8 +76,8 @@ numbers, booleans, and quoted strings without worrying about shell quoting.
 function parse_override_flag(expr::AbstractString)
     eqidx = findfirst(==('='), expr)
     eqidx === nothing && error("--override expects key=value, got: $expr")
-    lhs = String(strip(expr[1:eqidx-1]))
-    rhs = String(strip(expr[eqidx+1:end]))
+    lhs = String(strip(expr[1:(eqidx-1)]))
+    rhs = String(strip(expr[(eqidx+1):end]))
     isempty(lhs) && error("--override key cannot be empty: $expr")
 
     parts = split(lhs, '.')
@@ -97,7 +98,7 @@ function parse_override_flag(expr::AbstractString)
     # Build nested dict from dotted path.
     root = Dict{String,Any}()
     cursor = root
-    for p in parts[1:end-1]
+    for p in parts[1:(end-1)]
         cursor[String(p)] = Dict{String,Any}()
         cursor = cursor[String(p)]
     end
@@ -176,7 +177,7 @@ function resolve_rerun_output_path(source_h5::String, output_dir::String, output
     source_abs = abspath(source_h5)
     if output_name === nothing
         base = basename(source_abs)
-        stem = endswith(lowercase(base), ".h5") ? base[1:end-3] : base
+        stem = endswith(lowercase(base), ".h5") ? base[1:(end-3)] : base
         output_name = string(stem, "_rerun.h5")
     end
     if abspath(joinpath(output_dir, output_name)) == source_abs
@@ -281,9 +282,11 @@ function build_inputs_from_h5(args::Vector{String})
     elseif ingest isa Equilibrium.InverseIngest
         Equilibrium.build_inverse_from_ingest(eq_config, ingest)
     else
-        error("gpec.h5 has no equilibrium ingest and eq_type=$(eq_config.eq_type) is not analytic — cannot replay. " *
-              "A file-based eq_type needs a stored ingest (pre-ingest snapshots lack one); a new analytic kind must be " *
-              "registered in Equilibrium.ANALYTIC_EQ.")
+        error(
+            "gpec.h5 has no equilibrium ingest and eq_type=$(eq_config.eq_type) is not analytic — cannot replay. " *
+            "A file-based eq_type needs a stored ingest (pre-ingest snapshots lack one); a new analytic kind must be " *
+            "registered in Equilibrium.ANALYTIC_EQ."
+        )
     end
 
     return inputs, eq_config, additional_input, output_dir, current_git, preloaded_forcing, preloaded_coils
diff --git a/src/Tearing/CriticalResonantField/CriticalResonantField.jl b/src/Tearing/CriticalResonantField/CriticalResonantField.jl
index 453f04b73..1fe90461a 100644
--- a/src/Tearing/CriticalResonantField/CriticalResonantField.jl
+++ b/src/Tearing/CriticalResonantField/CriticalResonantField.jl
@@ -14,8 +14,8 @@ using ..InnerLayer
 using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,
     SLAYERModel, SLAYERParameters
 
-#include("TorqueBalance.jl")
+include("TorqueBalance.jl")
 
-#export TorqueBalance, torque_balance
+export TorqueBalance, torque_balance_value, torque_balance_scan
 
 end # module CriticalResonantField
diff --git a/src/Tearing/CriticalResonantField/TorqueBalance.jl b/src/Tearing/CriticalResonantField/TorqueBalance.jl
index c85bff102..517737c57 100644
--- a/src/Tearing/CriticalResonantField/TorqueBalance.jl
+++ b/src/Tearing/CriticalResonantField/TorqueBalance.jl
@@ -25,98 +25,62 @@
 """
     TorqueBalance{M<:InnerLayerModel, P}
 
-Per-surface dispersion data: `(model, params, dp_diag, dc, scale, tauk)`.
-Calling `sc(Q)` returns the complex residual
+Per-surface torque balance data: `(model, params, Q0, P, lu, sval)`.
 
-```
-r(Q) = dp_diag - scale * solve_inner(model, params, Q).tearing - dc
-```
-
-A root of `sc` in the complex `Q` plane is a **tearing** eigenvalue at
-this surface in the *uncoupled* approximation (only the tearing channel
-of the inner-layer response appears — the interchange channel enters the
-full 2m×2m dispersion via `MultiSurfaceCoupling`, not this scalar form).
-Coupled multi-surface eigenvalues come from `MultiSurfaceCoupling`
-evaluating the determinant of the modified Δ' matrix.
 """
-struct SurfaceCoupling{M<:InnerLayerModel,P}
+
+struct TorqueBalance{M<:InnerLayerModel,P}
     model::M
     params::P
-    dp_diag::ComplexF64
-    dc::Float64
-    scale::Float64
-    tauk::Float64
+    Q0::Float64
+    P::Float64
+    lu::Float64
+    sval::Float64
 end
 
-function (sc::SurfaceCoupling)(Q::Number)
-    Δ = solve_inner(sc.model, sc.params, ComplexF64(Q)).tearing
-    return sc.dp_diag - sc.scale * Δ - sc.dc
+function torque_balance_value(tb::TorqueBalance, Q::Number)
+    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing
+    delta_n_p = 1e-2 # JK hack to avoid singularity at Δ=0.0. Need to fix this in the future.
+    jxb = -imag(1.0 / (Δ + delta_n_p))
+    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ
 end
 
 """
-    surface_coupling(model::SLAYERModel, params::SLAYERParameters,
-                     dp_diag::Number; dc::Real=0.0) -> SurfaceCoupling
+    torque_balance_scan(model::InnerLayerModel, params::InnerLayerParameters, Q0::Real, P::Real,
+        lu::Real, sval::Real;Qmin=-10.0, Qmax=10.0, n=200) -> (Qs, bal, Qs_positive, bal_positive,
+        Qpeak, br_crit, Qpeak_ind, Δs)
 
-SLAYER convenience constructor. `scale` is set to `params.lu^(1/3)` so that
-the dimensionless Δ from `riccati_f` is mapped to outer ψ-units before
-subtraction from the Δ' diagonal. `tauk` is taken from `params.tauk` for use
-by `MultiSurfaceCoupling` Q rescaling.
+Scan over a range of Q values to find the maximum of the torque balance equation.
+Returns the Q values, torque balance values, positive Q values, positive torque balance values,
+the Q value at the peak, the critical resonant field, the index of the peak Q value, and the Δ values for each Q.
 """
-function surface_coupling(model::SLAYERModel, params::SLAYERParameters,
-    dp_diag::Number; dc::Real=0.0)
-    return SurfaceCoupling(model, params, ComplexF64(dp_diag),
-        Float64(dc), params.lu^(1 / 3), params.tauk)
-end
 
-"""
-    surface_coupling(model::GGJModel, params::GGJParameters,
-                     dp_diag::Number) -> SurfaceCoupling
+function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)
+    Qs = range(Qmin, Qmax; length=n)
+    torque_out = [torque_balance_value(tb, q) for q in Qs]
+    bal = [x[1] for x in torque_out]
+    Δs = [x[2] for x in torque_out]
+    positive = isfinite.(bal) .& (bal .> 0.0)
 
-GGJ convenience constructor. `scale` is `1.0` because GGJ's `solve_inner`
-applies its own `rescale_delta` (S^(2p₁/3)·v1^(2p₁)) internally, so the
-returned Δ is already in outer units. `tauk` defaults to `1.0` (GGJ has no
-direct analogue of SLAYER's per-surface time normalization, so multi-surface
-Q rescaling is a no-op for GGJ surfaces unless overridden).
+    if !any(positive)
+        return Qs, bal, [0.0], [0.0], 0.0, 0.0, NaN, Δs
+    end
+    i = argmax(bal)
+    Qpeak_ind = i
+    Qpeak = Qs[i]
+    maxbal = bal[i]
 
-**No `dc` kwarg**: GGJ's 4m×4m Pletzer-Dewar residual already includes the
-interchange channel, which provides Glasser (Mercier) stabilization
-natively. A Δ_crit proxy (χ_parallel-matching offset on the diagonal) is
-meaningful only for tearing-only slab-layer approximations like SLAYER;
-for GGJ it would double-count the interchange physics. The `SurfaceCoupling`
-struct's `dc` field is hard-wired to 0 here.
-"""
-function surface_coupling(model::GGJModel, params::GGJParameters,
-    dp_diag::Number)
-    return SurfaceCoupling(model, params, ComplexF64(dp_diag),
-        0.0, 1.0, 1.0)
-end
+    Qs_positive = Qs[positive]
+    bal_positive = bal[positive]
 
-"""
-    surface_coupling(model::InnerLayerModel, params, dp_diag::Number;
-                     dc::Real=0.0, scale::Real=1.0, tauk::Real=1.0)
-        -> SurfaceCoupling
-
-Generic fallback constructor. Use this when wiring a new inner-layer model
-into the dispersion solver — pass the appropriate inner→outer-units `scale`
-and per-surface `tauk` explicitly.
-"""
-function surface_coupling(model::InnerLayerModel, params, dp_diag::Number;
-    dc::Real=0.0, scale::Real=1.0, tauk::Real=1.0)
-    return SurfaceCoupling(model, params, ComplexF64(dp_diag),
-        Float64(dc), Float64(scale), Float64(tauk))
-end
+    i = argmax(bal_positive)
+    #Qpeak = Qs_positive[i]
 
-function torque_balance_value(tb::TorqueBalance, Q::Number)
-    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing
-    jxb = -imag(1.0 / (Δ + tb.delta_n_p))
-    return 2.0 * tb.P * (tb.Q0 - Q) / jxb
-end
+    #maxbal = bal_positive[i]
 
-function scan_torque_balance(tb; Qmin=-10.0, Qmax=10.0, nscan=200)
-    qs = range(Qmin, Qmax; length=nscan)
-    vals = torque_balance_value.(Ref(tb), qs)
-    idx = argmax(vals)
-    return qs[idx], vals[idx]
+    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))
+    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs
 end
 
-br_th = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))
+# Need to fix and improve this function. The positive masking is not helpful.
+# Need to avoid poles from Q_e and Q_i.
diff --git a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
index 78490c308..4af00e1f0 100644
--- a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
+++ b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
@@ -23,16 +23,11 @@
     "using GeneralizedPerturbedEquilibrium: Analysis\n",
     "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
     "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
-    "using GeneralizedPerturbedEquilibrium: Tearing\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
+    "using GeneralizedPerturbedEquilibrium: Tearing\n",
+    "using ..InnerLayer\n",
+    "using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
+    "    SLAYERModel, SLAYERParameters\n",
+    "\n",
     "using Plots\n",
     "default(\n",
     "    fontfamily=\"Georgia\",\n",
@@ -45,23 +40,23 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "3",
+   "id": "2",
    "metadata": {},
    "outputs": [],
    "source": [
-    "struct TorqueBalance\n",
-    "    model\n",
-    "    params\n",
+    "struct TorqueBalance{M<:InnerLayerModel,P}\n",
+    "    model::M\n",
+    "    params::P\n",
     "    Q0::Float64\n",
     "    P::Float64\n",
-    "    delta_n_p::Float64\n",
     "    lu::Float64\n",
     "    sval::Float64\n",
     "end\n",
     "\n",
     "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
     "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
-    "    jxb = -imag(1.0 / (Δ + tb.delta_n_p))\n",
+    "    delta_n_p = 1e-2\n",
+    "    jxb = -imag(1.0 / (Δ + delta_n_p))\n",
     "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ\n",
     "end\n",
     "\n",
@@ -94,108 +89,162 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4",
+   "id": "3",
    "metadata": {},
    "outputs": [],
    "source": [
-    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)\n",
-    "    Qs = range(Qmin, Qmax; length=n)\n",
-    "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
-    "    bal = [x[1] for x in torque_out]\n",
-    "    Δs = [x[2] for x in torque_out]\n",
+    "# You can substitute any valid SLAYERParameters you already have.\n",
+    "# This is just an example skeleton.\n",
+    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
+    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
+    "    omega=0.0, omega_e=4, omega_i=-2,\n",
+    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
+    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
+    ")\n",
+    "p2 = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
+    "    ising=p.ising,\n",
+    "    m=p.m, n=p.n,\n",
+    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
+    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
+    "    Q_e=4 / p.tauk, Q_i=-10 / p.tauk, iota_e=p.iota_e,\n",
+    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
+    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
+    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
+    "    eta=p.eta, d_beta=p.d_beta,\n",
+    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
+    ")\n",
     "\n",
-    "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
+    "#p = p2\n",
     "\n",
-    "    if !any(positive)\n",
-    "        return Qs, bal, Float64[], Float64[], NaN, NaN, 0, Δs\n",
-    "    end\n",
+    "tb = TorqueBalance(\n",
+    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
+    "    p,\n",
+    "    0.5,\n",
+    "    1.0,\n",
+    "    p.lu,\n",
+    "    p.sval_r\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Qs = range(-5.0, 5.0, length=200)\n",
     "\n",
-    "    i = argmax(bal)\n",
-    "    Qpeak_ind = i\n",
-    "    Qs_positive = Qs[positive]\n",
-    "    bal_positive = bal[positive]\n",
+    "#vals = [torque_balance_value(tb, q) for q in Qs]\n",
+    "\"\"\"\n",
+    "n=2000:\n",
+    "Qpeak = 0.24512256128064033\n",
+    "maxbal = 0.35873684252530247\n",
+    "br_crit = 4.668551985584323e-5\n",
     "\n",
-    "    i = argmax(bal_positive)\n",
-    "    Qpeak = Qs_positive[i]\n",
-    "    maxbal = bal_positive[i]\n",
+    "n=200 (def):\n",
+    "Qpeak = 0.25125628140703515\n",
+    "maxbal = 0.3585219071071706\n",
+    "br_crit = 4.667153206033017e-5\n",
+    "\"\"\"\n",
+    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb)\n",
     "\n",
-    "    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
-    "    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs\n",
-    "end\n",
-    "# one-cell scan: x = b_crit, y = Q_0\n",
-    "Q0_vals = range(-2.0, 2.0; length=60)\n",
+    "println(\"Qpeak = \", Qpeak)\n",
+    "println(\"maxbal = \", maximum(bal_positive))\n",
+    "println(\"maxbal = \", maximum(bal))\n",
+    "println(\"br_crit = \", brcrit)\n",
     "\n",
-    "bcrit_vals = Float64[]\n",
-    "locked_flag = Bool[]\n",
+    "p1 = plot(Qs, bal, lw=2, label=\"balance\")\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
     "\n",
-    "for Q0 in Q0_vals\n",
-    "    tbQ = TorqueBalance(\n",
-    "        tb.model,\n",
-    "        tb.params,\n",
-    "        Float64(Q0),\n",
-    "        tb.P,\n",
-    "        tb.delta_n_p,\n",
-    "        tb.lu,\n",
-    "        tb.sval\n",
-    "    )\n",
+    "p2 = plot(Qs_positive, bal_positive, lw=2, label=\"balance (positive)\")\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
     "\n",
-    "    Qs, bal, Qs_pos, bal_pos, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tbQ; Qmin=-10.0, Qmax=10.0, n=250)\n",
+    "plot(p1, p2, layout=(2,1), size=(800, 1000))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Qpk = Qs_positive[argmax(bal_positive)]\n",
+    "j   = findfirst(isequal(Qpk), Qs)\n",
     "\n",
-    "    if isempty(bal_pos) || !all(isfinite.(bal_pos)) || maximum(bal_pos) <= 0\n",
-    "        push!(bcrit_vals, NaN)\n",
-    "        push!(locked_flag, false)\n",
-    "    else\n",
-    "        push!(bcrit_vals, brcrit)\n",
-    "        push!(locked_flag, true)\n",
-    "    end\n",
-    "end\n",
+    "lhs = 2*tb.P*(tb.Q0 - Qpk) / jxbs[j]\n",
+    "br_ratio = sqrt(lhs / (tb.lu * tb.sval^2 / 2))\n",
     "\n",
-    "# keep only finite x-values for plotting\n",
-    "x = bcrit_vals[isfinite.(bcrit_vals)]\n",
-    "y = Q0_vals[isfinite.(bcrit_vals)]\n",
-    "locked = locked_flag[isfinite.(bcrit_vals)]\n",
-    "\n",
-    "p = scatter(\n",
-    "    x[locked], y[locked],\n",
-    "    label=\"locked\",\n",
-    "    color=:green,\n",
-    "    markersize=5,\n",
-    "    marker=:circle,\n",
-    "    xlabel=\"b_crit\",\n",
-    "    ylabel=\"Q_0\",\n",
-    "    title=\"Locked / unlocked boundary\",\n",
-    "    legend=:topleft\n",
-    ")\n",
+    "rhs = (tb.lu * tb.sval^2 / 2) * br_ratio^2\n",
     "\n",
-    "scatter!(\n",
-    "    p,\n",
-    "    x[.!locked], y[.!locked],\n",
-    "    label=\"unlocked\",\n",
-    "    color=:red,\n",
-    "    markersize=5,\n",
-    "    marker=:square\n",
-    ")\n",
     "\n",
-    "display(p)"
+    "\n",
+    "println(\"lhs = \", lhs)\n",
+    "println(\"rhs = \", rhs)\n",
+    "println(\"lhs/rhs = \", lhs / rhs)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5",
+   "id": "6",
    "metadata": {},
    "outputs": [],
    "source": [
-    "import Pkg; Pkg.add(\"DataInterpolations\")"
+    "#Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing for q in Qs]\n",
+    "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
+    "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for (q, jxb) in zip(Qs, jxbs)]\n",
+    "br_t = brcrit\n",
+    "println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", tb.delta_n_p)\n",
+    "T_EM = tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs\n",
+    "i = Qpeak_ind\n",
+    "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
+    "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
+    "println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
+    "\n",
+    "#T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
+    "#T_visc ∝ 2 P (Q0 − Q)\n",
+    "\n",
+    "p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "#plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\n",
+    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "plot!(p2, Qs, T_VISC, label=\"2P(Q0-Q)\", lw=2)\n",
+    "plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"jxb\")\n",
+    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
+    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "xlabel!(p3, \"Q\")\n",
+    "ylabel!(p3, \"balance\")\n",
+    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "\n",
+    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6",
+   "id": "7",
    "metadata": {},
    "outputs": [],
    "source": [
+    "# Recreate Cihan's plot:\n",
+    "\n",
     "using Plots\n",
     "using DataInterpolations\n",
     "\n",
@@ -300,54 +349,13 @@
     "display(p)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "8",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "# You can substitute any valid SLAYERParameters you already have.\n",
-    "# This is just an example skeleton.\n",
-    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
-    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
-    "    omega=0.0, omega_e=4, omega_i=-2,\n",
-    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
-    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
-    ")\n",
-    "p2 = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
-    "    ising=p.ising,\n",
-    "    m=p.m, n=p.n,\n",
-    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
-    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
-    "    Q_e=4 / p.tauk, Q_i=-10 / p.tauk, iota_e=p.iota_e,\n",
-    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
-    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
-    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
-    "    eta=p.eta, d_beta=p.d_beta,\n",
-    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
-    ")\n",
-    "\n",
-    "#p = p2\n",
-    "\n",
-    "tb = TorqueBalance(\n",
-    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
-    "    p,\n",
-    "    0.5,\n",
-    "    1.0,\n",
-    "    1e-2,\n",
-    "    p.lu,\n",
-    "    p.sval_r\n",
-    ")"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
@@ -355,141 +363,7 @@
    "id": "9",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "\n",
-    "tau_h=R0*(mu0*rho)**0.5/(nns*sval*bt) ! alfven time across surface\n",
-    "lu=tau_r/tau_h                   ! Lundquist number\n",
-    "Qconv=lu**(1.0/3.0)*tau_h        ! conversion to Qs based on Cole\n",
-    "\n",
-    "! note Q depends on Qconv even if omega is fixed.\n",
-    "Q=Qconv*omega\n",
-    "Q_e=-Qconv*omega_e\n",
-    "Q_i=-Qconv*omega_i\n",
-    "\n",
-    "\"\"\"\n",
-    "2=-lu**(1.0/3.0)*tau_h *OE\n",
-    "2 = tauk *OE"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "10",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Qs = range(-5.0, 5.0, length=200)\n",
-    "\n",
-    "vals = [torque_balance_value(tb, q) for q in Qs]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "11",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "n=2000:\n",
-    "Qpeak = 0.24512256128064033\n",
-    "maxbal = 0.35873684252530247\n",
-    "br_crit = 4.668551985584323e-5\n",
-    "\n",
-    "n=200 (def):\n",
-    "Qpeak = 0.25125628140703515\n",
-    "maxbal = 0.3585219071071706\n",
-    "br_crit = 4.667153206033017e-5\n",
-    "\"\"\"\n",
-    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb)\n",
-    "\n",
-    "println(\"Qpeak = \", Qpeak)\n",
-    "println(\"maxbal = \", maximum(bal_positive))\n",
-    "println(\"maxbal = \", maximum(bal))\n",
-    "println(\"br_crit = \", brcrit)\n",
-    "\n",
-    "p1 = plot(Qs, bal, lw=2, label=\"balance\")\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "p2 = plot(Qs_positive, bal_positive, lw=2, label=\"balance (positive)\")\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "plot(p1, p2, layout=(2,1), size=(800, 1000))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "12",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Qpk = Qs_positive[argmax(bal_positive)]\n",
-    "j   = findfirst(isequal(Qpk), Qs)\n",
-    "\n",
-    "lhs = 2*tb.P*(tb.Q0 - Qpk) / jxbs[j]\n",
-    "br_ratio = sqrt(lhs / (tb.lu * tb.sval^2 / 2))\n",
-    "\n",
-    "rhs = (tb.lu * tb.sval^2 / 2) * br_ratio^2\n",
-    "\n",
-    "\n",
-    "\n",
-    "println(\"lhs = \", lhs)\n",
-    "println(\"rhs = \", rhs)\n",
-    "println(\"lhs/rhs = \", lhs / rhs)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "13",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing for q in Qs]\n",
-    "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
-    "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for (q, jxb) in zip(Qs, jxbs)]\n",
-    "br_t = brcrit\n",
-    "println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", tb.delta_n_p)\n",
-    "T_EM = tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs\n",
-    "i = Qpeak_ind\n",
-    "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
-    "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
-    "println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
-    "\n",
-    "#T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
-    "#T_visc ∝ 2 P (Q0 − Q)\n",
-    "\n",
-    "p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "#plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\n",
-    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "plot!(p2, Qs, T_VISC, label=\"2P(Q0-Q)\", lw=2)\n",
-    "plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"jxb\")\n",
-    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
-    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "xlabel!(p3, \"Q\")\n",
-    "ylabel!(p3, \"balance\")\n",
-    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "\n",
-    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
-   ]
+   "source": []
   }
  ],
  "metadata": {
diff --git a/src/Tearing/Dispersion/BruteForceScan.jl b/src/Tearing/Dispersion/BruteForceScan.jl
index 6e7b8aead..c1f2b55fb 100644
--- a/src/Tearing/Dispersion/BruteForceScan.jl
+++ b/src/Tearing/Dispersion/BruteForceScan.jl
@@ -15,12 +15,12 @@
 
 Output of a brute-force or AMR Q-plane scan.
 
-| field      | meaning                                           |
-|------------|---------------------------------------------------|
-| `Q`        | Complex Q values (`Matrix` for grid, `Vector` for AMR)   |
-| `Δ`        | Residual values, same shape as `Q`                       |
-| `re_axis`  | Real-axis grid (only for regular-grid `ScanResult`)      |
-| `im_axis`  | Imaginary-axis grid (only for regular-grid `ScanResult`) |
+| field     | meaning                                                  |
+|:--------- |:-------------------------------------------------------- |
+| `Q`       | Complex Q values (`Matrix` for grid, `Vector` for AMR)   |
+| `Δ`       | Residual values, same shape as `Q`                       |
+| `re_axis` | Real-axis grid (only for regular-grid `ScanResult`)      |
+| `im_axis` | Imaginary-axis grid (only for regular-grid `ScanResult`) |
 """
 struct ScanResult
     Q::Matrix{ComplexF64}
@@ -53,15 +53,15 @@ from the result.
   - `threaded`    -- distribute Q evaluations across `Threads.@threads`
 """
 function brute_force_scan(f, Q_re_range::NTuple{2,<:Real},
-                          Q_im_range::NTuple{2,<:Real};
-                          nre::Integer, nim::Integer,
-                          threaded::Bool=true)
+    Q_im_range::NTuple{2,<:Real};
+    nre::Integer, nim::Integer,
+    threaded::Bool=true)
     nre >= 2 || throw(ArgumentError("brute_force_scan: nre must be ≥ 2"))
     nim >= 2 || throw(ArgumentError("brute_force_scan: nim must be ≥ 2"))
     re_axis = collect(range(Float64(Q_re_range[1]); stop=Float64(Q_re_range[2]),
-                            length=nre))
+        length=nre))
     im_axis = collect(range(Float64(Q_im_range[1]); stop=Float64(Q_im_range[2]),
-                            length=nim))
+        length=nim))
     Q = ComplexF64[(qr + qi*im) for qr in re_axis, qi in im_axis]
     Δ = Matrix{ComplexF64}(undef, nre, nim)
     if threaded
diff --git a/src/Tearing/Dispersion/ContourSearchAMR.jl b/src/Tearing/Dispersion/ContourSearchAMR.jl
index 3533a1773..5cf369eda 100644
--- a/src/Tearing/Dispersion/ContourSearchAMR.jl
+++ b/src/Tearing/Dispersion/ContourSearchAMR.jl
@@ -243,7 +243,7 @@ function amr_scan(f, Q_re_range::NTuple{2,<:Real},
     _bulk_eval_into_cache!(cache, f, corners; parallel=parallel)
 
     cells = Vector{AMRCell}(undef, nre0 * nim0)
-    @inbounds for j in 0:nim0-1, i in 0:nre0-1
+    @inbounds for j in 0:(nim0-1), i in 0:(nre0-1)
         # Read corner Q values from the same `corners` array used to populate
         # the cache. Recomputing them with `x + re_step` here would differ in
         # the last floating-point bit from the cache keys, causing spurious
@@ -573,7 +573,7 @@ function multi_box_amr_scan(f,
 
         # Build pre-screen cells
         ps_cells = Vector{AMRCell}(undef, prescreen_nre * prescreen_nim)
-        @inbounds for j in 0:prescreen_nim-1, i in 0:prescreen_nre-1
+        @inbounds for j in 0:(prescreen_nim-1), i in 0:(prescreen_nre-1)
             q_bl = corners[j*ncorners_x+i+1]
             q_br = corners[j*ncorners_x+(i+1)+1]
             q_tl = corners[(j+1)*ncorners_x+i+1]
diff --git a/src/Tearing/Dispersion/CoupledFullMatch.jl b/src/Tearing/Dispersion/CoupledFullMatch.jl
index 9b0f136c9..ed68c4445 100644
--- a/src/Tearing/Dispersion/CoupledFullMatch.jl
+++ b/src/Tearing/Dispersion/CoupledFullMatch.jl
@@ -155,7 +155,7 @@ function (mc::MultiSurfaceCouplingFull)(Q::Number)
     # Allocate the matching matrix and fill the lower-left 2m × 2m block
     # with transpose(dp_raw[1:s2, 1:s2]).
     mat = zeros(ComplexF64, s4, s4)
-    @views mat[s2+1:s4, 1:s2] .= transpose(mc.dp_raw[1:s2, 1:s2])
+    @views mat[(s2+1):s4, 1:s2] .= transpose(mc.dp_raw[1:s2, 1:s2])
 
     # Per-surface inner-layer assembly
     @inbounds for k in 1:m
diff --git a/src/Tearing/Dispersion/GrowthRateExtraction.jl b/src/Tearing/Dispersion/GrowthRateExtraction.jl
index 42c2c9681..796e67633 100644
--- a/src/Tearing/Dispersion/GrowthRateExtraction.jl
+++ b/src/Tearing/Dispersion/GrowthRateExtraction.jl
@@ -253,10 +253,10 @@ function _all_intersections(re_paths::Vector{Vector{ComplexF64}},
     im_paths::Vector{Vector{ComplexF64}})
     out = ComplexF64[]
     for re_path in re_paths
-        for i in 1:length(re_path)-1
+        for i in 1:(length(re_path)-1)
             a, b = re_path[i], re_path[i+1]
             for im_path in im_paths
-                for j in 1:length(im_path)-1
+                for j in 1:(length(im_path)-1)
                     c, d = im_path[j], im_path[j+1]
                     pt = _segment_intersection(a, b, c, d)
                     pt !== nothing && push!(out, pt)
@@ -468,7 +468,7 @@ function _median_segment_length(re_paths::Vector{Vector{ComplexF64}},
     im_paths::Vector{Vector{ComplexF64}})
     lens = Float64[]
     for paths in (re_paths, im_paths), p in paths
-        @inbounds for i in 1:length(p)-1
+        @inbounds for i in 1:(length(p)-1)
             push!(lens, abs(p[i+1] - p[i]))
         end
     end
@@ -811,7 +811,7 @@ function _march_triangle(p1::ComplexF64, p2::ComplexF64, p3::ComplexF64,
     v1::ComplexF64, v2::ComplexF64, v3::ComplexF64,
     re_target::Float64, im_target::Float64)
     return (_march_single(p1, p2, p3, real(v1), real(v2), real(v3),
-            imag(v1), imag(v2), imag(v3), re_target),
+        imag(v1), imag(v2), imag(v3), re_target),
         _march_single(p1, p2, p3, imag(v1), imag(v2), imag(v3),
             real(v1), real(v2), real(v3), im_target))
 end
diff --git a/src/Tearing/Runner/Control.jl b/src/Tearing/Runner/Control.jl
index 1a12ff7e6..88e8fe091 100644
--- a/src/Tearing/Runner/Control.jl
+++ b/src/Tearing/Runner/Control.jl
@@ -4,6 +4,9 @@
 # growth-rate analysis. Populated either directly via the `@kwdef`
 # constructor or by parsing the `[SLAYER]` (and nested `[SLAYER.*]`)
 # section(s) of a `gpec.toml`.
+#
+# `CriticalResonantFieldControl` holds the user-facing knobs that drive the critical resonant field
+# analysis. Populated either directly via the `@kwdef` constructor or by parsing the `[CriticalResonantField]` section of a `gpec.toml`.
 
 """
     SLAYERControl
@@ -268,3 +271,41 @@ function slayer_control_from_toml(section::AbstractDict)
     end
     return validate(SLAYERControl(; kwargs...))
 end
+
+"""
+    CriticalResonantFieldControl
+
+Configuration for the critical resonant field analysis. All fields are
+user-facing: read from the `[CriticalResonantField]` TOML section of a `gpec.toml` via
+`critical_resonant_field_control_from_toml`, or built directly via the `@kwdef` keyword
+constructor.
+"""
+@kwdef struct CriticalResonantFieldControl
+    enabled::Bool = false
+    inner_model::Symbol = :slayer_fitzpatrick
+    Qmin::Float64 = -10.0
+    Qmax::Float64 = 10.0
+    n::Int = 200
+    profile_file::String = ""
+    profile_group::String = "/"
+    store_scan::Bool = false
+end
+
+function critical_resonant_field_control_from_toml(section::AbstractDict)
+    flat = Dict{String,Any}()
+    for (k, v) in section
+        flat[k] = v
+    end
+
+    kwargs = Dict{Symbol,Any}()
+    for (k, v) in flat
+        sym = Symbol(k)
+        if sym in (:inner_model,)
+            kwargs[sym] = v isa Symbol ? v : Symbol(String(v))
+        else
+            kwargs[sym] = v
+        end
+    end
+
+    return CriticalResonantFieldControl(; kwargs...)
+end
diff --git a/src/Tearing/Runner/HDF5Output.jl b/src/Tearing/Runner/HDF5Output.jl
index ca4287147..02c3f5da9 100644
--- a/src/Tearing/Runner/HDF5Output.jl
+++ b/src/Tearing/Runner/HDF5Output.jl
@@ -1,6 +1,6 @@
 # HDF5Output.jl
 #
-# Write a `SLAYERResult` into an HDF5 group. Designed to be called by the
+# Write a `SLAYERResult` or `CriticalResonantFieldResult` into an HDF5 group. Designed to be called by the
 # existing `PerturbedEquilibrium.write_outputs_to_HDF5` path — the
 # top-level GPEC runner wires that up; this file only defines the pure
 # writer.
@@ -57,6 +57,38 @@ function write_slayer_hdf5!(parent::Union{HDF5.File,HDF5.Group},
     return g
 end
 
+function write_critical_resonant_field_hdf5!(parent::Union{HDF5.File,HDF5.Group},
+    result::CriticalResonantFieldResult)
+
+    if !haskey(parent, "Tearing")
+        create_group(parent, "Tearing")
+    end
+    g = create_group(parent["Tearing"], "CriticalResonantField")
+
+    g["surface_index"] = result.surface_index
+    g["Qpeak"] = result.Qpeak
+    g["br_crit"] = result.br_crit
+    g["Q0"] = result.Q0
+    g["P"] = result.P
+
+    if !isempty(result.scan_data)
+        scan_group = create_group(g, "Scan")
+        for d in result.scan_data
+            sg = create_group(scan_group, "surface_$(d.surface)")
+            sg["Q"] = d.Q
+            sg["balance"] = d.balance
+            sg["delta"] = d.delta
+            sg["Q_positive"] = d.Q_positive
+            sg["balance_positive"] = d.balance_positive
+            sg["Qpeak"] = d.Qpeak
+            sg["br_crit"] = d.br_crit
+        end
+    end
+
+    attrs(g)["kind"] = "critical_resonant_field"
+    return g
+end
+
 # Token recorded in the Tearing group's layer_model attribute; keyed by the
 # per-surface parameter type since the SLAYER and GGJ branches write disjoint fields.
 _layer_model_token(::Type{SLAYERParameters}) = "slayer"
diff --git a/src/Tearing/Runner/Result.jl b/src/Tearing/Runner/Result.jl
index 0cffc21c9..9132e8421 100644
--- a/src/Tearing/Runner/Result.jl
+++ b/src/Tearing/Runner/Result.jl
@@ -3,6 +3,10 @@
 # `SLAYERResult` packages the output of a full SLAYER analysis run:
 # per-surface layer parameters, the extracted tearing eigenvalues, and (if
 # `control.store_scan`) the full Q-plane scan data for plotting.
+#
+# `CriticalResonantFieldResult` packages the output of the critical resonant field analysis run:
+# per-surface critical resoant field. If `control.store_scan` is true, the full Q scan data,
+# viscous torque, and electromagnetic torque are also stored for plotting.
 
 """
     SLAYERResult
@@ -22,9 +26,9 @@ downstream inspection and HDF5 output.
     the surface list), in which case the HDF5 writer skips them.
   - `dp_matrix`           -- outer-region Δ' matrix used in the analysis
   - `Q_root`              -- tearing eigenvalue(s) in normalized Q
-    * length `nsurfaces` in `:uncoupled` mode
-    * length `1` in `:coupled` mode (global eigenvalue normalized by
-      `params[1].tauk`)
+      + length `nsurfaces` in `:uncoupled` mode
+      + length `1` in `:coupled` mode (global eigenvalue normalized by
+        `params[1].tauk`)
   - `omega_Hz`, `gamma_Hz` -- physical rotation frequency / growth rate
   - `per_surface_extraction` -- `Vector{GrowthRateResult}` of length
     `nsurfaces` in uncoupled mode (each includes polelines, pole list,
@@ -64,3 +68,33 @@ function empty_slayer_result(control::SLAYERControl)
                         LayerWidths[],
                         Union{ScanResult,AMRResult}[])
 end
+
+"""
+    CriticalResonantFieldResult
+
+Output of `run_critical_resonant_field`. Carries both summary critical resonant field values and if `control.store_scan` is true, the full Q scan data, viscous torque, and electromagnetic torque for plotting.
+"""
+
+struct CriticalResonantFieldResult
+    enabled::Bool
+    params::AbstractVector{<:InnerLayerParameters}
+    surface_index::Vector{Int}
+    Qpeak::Vector{Float64}
+    br_crit::Vector{Float64}
+    Q0::Vector{Float64}
+    P::Vector{Float64}
+    scan_data::Vector{NamedTuple}
+end
+
+function empty_critical_resonant_field_result()
+    return CriticalResonantFieldResult(
+        false,
+        InnerLayerParameters[],
+        Int[],
+        Float64[],
+        Float64[],
+        Float64[],
+        Float64[],
+        NamedTuple[]
+    )
+end
diff --git a/src/Tearing/Runner/Runner.jl b/src/Tearing/Runner/Runner.jl
index 919088065..df3293b2f 100644
--- a/src/Tearing/Runner/Runner.jl
+++ b/src/Tearing/Runner/Runner.jl
@@ -32,11 +32,14 @@ using ..Utilities
 using ..Utilities: KineticProfiles
 using ...Equilibrium: read_kinetic_file, KineticProfileData
 using ..InnerLayer
-using ..InnerLayer: InnerLayerParameters, InnerLayerResponse, solve_inner,
+using ..InnerLayer:
+    InnerLayerParameters, InnerLayerResponse, solve_inner,
     SLAYERModel, SLAYERParameters, build_slayer_inputs,
     GGJModel, GGJParameters,
     LayerWidths, slayer_layer_thickness
 import ..build_ggj_inputs   # defined at the Tearing level (needs ForceFreeStates)
+import ...Equilibrium as Equilibrium
+using ...Equilibrium: read_kinetic_file, KineticProfileData, load_kinetic_profiles
 using ..Dispersion
 using ..Dispersion: SurfaceCoupling, surface_coupling,
     MultiSurfaceCoupling, multi_surface_coupling,
@@ -54,5 +57,9 @@ export SLAYERControl, slayer_control_from_toml, validate
 export SLAYERResult, empty_slayer_result
 export run_slayer, run_slayer_from_inputs, ggj_inner_deltas
 export write_slayer_hdf5!
+export CriticalResonantFieldControl, critical_resonant_field_control_from_toml
+export CriticalResonantFieldResult, empty_critical_resonant_field_result
+export run_critical_resonant_field
+export write_critical_resonant_field_hdf5!
 
 end # module Runner
diff --git a/src/Tearing/Runner/run_slayer.jl b/src/Tearing/Runner/run_slayer.jl
index 2a29c63a8..3dca41bbc 100644
--- a/src/Tearing/Runner/run_slayer.jl
+++ b/src/Tearing/Runner/run_slayer.jl
@@ -455,3 +455,82 @@ function run_slayer(equil, surfaces::AbstractVector, delta_prime_matrix::Abstrac
     rational_q = Float64[surfaces[p.ising].q for p in params]
     return run_slayer_from_inputs(params, dp, control; rational_psi=rational_psi, rational_q=rational_q)
 end
+
+# ---------------------------------------------------------------------
+# Critical Resonant Field (Torque-Balance) Workflow
+# ---------------------------------------------------------------------
+"""
+    Critical Resonant Field (Torque-Balance) Workflow
+
+    The critical resonant field is the minimum resonant magnetic perturbation
+    amplitude that can drive a tearing mode unstable.
+
+    Returns a `CriticalResonantFieldResult` containing the critical resonant field
+    and the corresponding critical resoannt field values for each rational surface.
+"""
+
+function run_critical_resonant_field(equil, intr, ctrl; dir_path="./")
+    ctrl.enabled || return empty_critical_resonant_field_result()
+
+    # Use the same per-surface params already built for SLAYER
+    profiles = Equilibrium.load_kinetic_profiles(joinpath(dir_path, ctrl.profile_file))
+    params = build_slayer_inputs(equil, intr.sing, profiles)
+
+    surface_index = Int[]
+    Qpeak_vec = Float64[]
+    br_vec = Float64[]
+    Q0_vec = Float64[]
+    P_vec = Float64[]
+    scan_data = NamedTuple[]
+
+    for (isurf, p) in enumerate(params)
+        # Fill in the actual per-surface drive from your model
+        Q0_here = 0.5
+        P_here = 1.0
+
+        tb = TorqueBalance(
+            SLAYERModel{:fitzpatrick}(),
+            p,
+            Q0_here,
+            P_here,
+            p.lu,
+            p.sval_r
+        )
+
+        Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs =
+            torque_balance_scan(tb; Qmin=ctrl.Qmin, Qmax=ctrl.Qmax, n=ctrl.n)
+
+        push!(surface_index, isurf)
+        push!(Qpeak_vec, Qpeak)
+        push!(br_vec, br_crit)
+        push!(Q0_vec, Q0_here)
+        push!(P_vec, P_here)
+
+        if ctrl.store_scan
+            push!(
+                scan_data,
+                (
+                    surface=isurf,
+                    Q=collect(Qs),
+                    balance=collect(bal),
+                    delta=collect(Δs),
+                    Q_positive=collect(Qs_positive),
+                    balance_positive=collect(bal_positive),
+                    Qpeak=Qpeak,
+                    br_crit=br_crit
+                )
+            )
+        end
+    end
+
+    return CriticalResonantFieldResult(
+        true,
+        params,
+        surface_index,
+        Qpeak_vec,
+        br_vec,
+        Q0_vec,
+        P_vec,
+        scan_data
+    )
+end
diff --git a/src/Tearing/Tearing.jl b/src/Tearing/Tearing.jl
index ae3ed8e3c..3ebd35996 100644
--- a/src/Tearing/Tearing.jl
+++ b/src/Tearing/Tearing.jl
@@ -6,6 +6,8 @@
 #   InnerLayer  -- pure physics: Δ_inner(Q) for GGJ or SLAYER models
 #   Dispersion  -- physics-agnostic scan + contour-intersection root
 #                  extraction (consumes any InnerLayerModel)
+#   CriticalResonantField -- physics-agnostic scan + torque-balance root
+#                  extraction (consumes any InnerLayerModel)
 #   Runner      -- user-facing orchestration: TOML config, profile
 #                  loading, HDF5 output, workflow hooks
 #
diff --git a/src/Utilities/GridUtilities.jl b/src/Utilities/GridUtilities.jl
index a02bf0d08..71e255699 100644
--- a/src/Utilities/GridUtilities.jl
+++ b/src/Utilities/GridUtilities.jl
@@ -11,25 +11,27 @@ Power-law spaced grid with analytic derivative calculation.
 Creates a grid with more points concentrated near boundaries.
 
 # Arguments
-- `x_min, x_max`: Grid boundaries
-- `npower::Int`: Power law exponent (1=linear, higher=more concentration at edges)
-- `nx::Int`: Number of grid points
-- `spacing::String`: "lower" (concentrate at x_min), "upper" (at x_max), or "both"
+
+  - `x_min, x_max`: Grid boundaries
+  - `npower::Int`: Power law exponent (1=linear, higher=more concentration at edges)
+  - `nx::Int`: Number of grid points
+  - `spacing::String`: "lower" (concentrate at x_min), "upper" (at x_max), or "both"
 
 # Returns
-- `Matrix{Float64}`: (2, nx) where row 1 = positions, row 2 = dr/d(norm) derivatives
+
+  - `Matrix{Float64}`: (2, nx) where row 1 = positions, row 2 = dr/d(norm) derivatives
 """
 function powspace(x_min::Float64, x_max::Float64, npower::Int, nx::Int,
-                  spacing::String)::Matrix{Float64}
+    spacing::String)::Matrix{Float64}
 
     result = zeros(Float64, 2, nx)
 
     y = if spacing == "lower"
-        collect(range(-1.0, 0.0, length=nx))
+        collect(range(-1.0, 0.0; length=nx))
     elseif spacing == "upper"
-        collect(range(0.0, 1.0, length=nx))
+        collect(range(0.0, 1.0; length=nx))
     elseif spacing == "both"
-        collect(range(-1.0, 1.0, length=nx))
+        collect(range(-1.0, 1.0; length=nx))
     else
         error("Unknown spacing type: $spacing. Use \"lower\", \"upper\", or \"both\".")
     end
@@ -78,10 +80,10 @@ end
 function _powspace_numeric_integral(y::Float64, npower::Int)::Float64
     y == 0.0 && return 0.0
     npts = 100
-    y_int = range(0.0, y, length=npts)
+    y_int = range(0.0, y; length=npts)
     f_int = abs.((y_int .- 1) .* (y_int .+ 1)) .^ npower
     integral = (f_int[1] + f_int[npts]) / 2
-    for i in 2:(npts - 1)
+    for i in 2:(npts-1)
         integral += f_int[i]
     end
     return integral * (y / (npts - 1))
diff --git a/src/Utilities/HDF5Annotations.jl b/src/Utilities/HDF5Annotations.jl
index 1fff44e62..33e055b4f 100644
--- a/src/Utilities/HDF5Annotations.jl
+++ b/src/Utilities/HDF5Annotations.jl
@@ -7,8 +7,7 @@ Self-describing metadata for `gpec.h5` (the contract in
 datasets are marked as HDF5 Dimension Scales (netCDF-4 coordinate variables) attached
 to the arrays that share their axis, so h5py/xarray/HDFView read the file unaided.
 
-Writers stay table-driven: each writer keeps a table of `path => (; long_name, units,
-dims)` entries next to it and calls [`annotate!`](@ref) once after its datasets are
+Writers stay table-driven: each writer keeps a table of `path => (; long_name, units, dims)` entries next to it and calls [`annotate!`](@ref) once after its datasets are
 written. Paths absent from the file are skipped silently (many writes are conditional).
 """
 module HDF5Annotations
diff --git a/src/Utilities/PhysicalConstants.jl b/src/Utilities/PhysicalConstants.jl
index a9668b611..6511e6df2 100644
--- a/src/Utilities/PhysicalConstants.jl
+++ b/src/Utilities/PhysicalConstants.jl
@@ -10,11 +10,11 @@ All quantities in SI units.
 module PhysicalConstants
 
 # Match the Fortran GPEC/SLAYER sglobal_mod values exactly so cross-code numerical comparison is meaningful.
-const MU_0  = 4.0e-7 * π            # vacuum permeability         [H/m]
-const M_E   = 9.1094e-31            # electron mass               [kg]
-const M_P   = 1.6726e-27            # proton mass                 [kg]
+const MU_0 = 4.0e-7 * π            # vacuum permeability         [H/m]
+const M_E = 9.1094e-31            # electron mass               [kg]
+const M_P = 1.6726e-27            # proton mass                 [kg]
 const E_CHG = 1.6021917e-19         # elementary charge           [C]
-const K_B   = 1.3807e-23            # Boltzmann constant          [J/K]
+const K_B = 1.3807e-23            # Boltzmann constant          [J/K]
 const EPS_0 = 8.8542e-12            # vacuum permittivity         [F/m]
 
 export MU_0, M_E, M_P, E_CHG, K_B, EPS_0
diff --git a/src/Vacuum/PnQuadCache.jl b/src/Vacuum/PnQuadCache.jl
index 6e0b8b719..4d6de9850 100644
--- a/src/Vacuum/PnQuadCache.jl
+++ b/src/Vacuum/PnQuadCache.jl
@@ -26,7 +26,7 @@ const _PN_BGAUS = 2.5
 const (_PN_TG02, _PN_WANUMR) = let
     x32, w32 = gausslegendre(32)
     tg0 = [_PN_AGAUS + x32[i] * _PN_BGAUS for i in 1:32]
-    tg02   = NTuple{32,Float64}(t * t for t in tg0)
+    tg02 = NTuple{32,Float64}(t * t for t in tg0)
     wanumr = NTuple{32,Float64}(w32[i] * tg0[i] * exp(-tg0[i]^2) for i in 1:32)
     (tg02, wanumr)
 end
@@ -94,17 +94,19 @@ end
 
 function _make_pn_quad_entry(n::Int)
     @assert n >= 1 "PnQuadEntry is only defined for n ≥ 1 (Γ(1/2 - n) diverges at n = 0)"
-    inv_2n   = 1.0 / (2.0 * n)
+    inv_2n = 1.0 / (2.0 * n)
     inv_2np2 = 1.0 / (2.0 * n + 2.0)
-    sh  = Vector{Float64}(undef, 32)
-    ch  = Vector{Float64}(undef, 32)
+    sh = Vector{Float64}(undef, 32)
+    ch = Vector{Float64}(undef, 32)
     shp = Vector{Float64}(undef, 32)
     chp = Vector{Float64}(undef, 32)
     @inbounds for ig in 1:32
-        x  = _PN_TG02[ig] * inv_2n
+        x = _PN_TG02[ig] * inv_2n
         xp = _PN_TG02[ig] * inv_2np2
-        sh[ig]  = sinh(x);  ch[ig]  = cosh(x)
-        shp[ig] = sinh(xp); chp[ig] = cosh(xp)
+        sh[ig] = sinh(x)
+        ch[ig] = cosh(x)
+        shp[ig] = sinh(xp)
+        chp[ig] = cosh(xp)
     end
 
     # Compute the Gamma function Γ(1/2 - n) via the product formula.
@@ -117,7 +119,7 @@ function _make_pn_quad_entry(n::Int)
     # Combine into scale factors used in the final Legendre function assembly.
     # Pre-computing these once per n avoids repeating the Gamma product on every s-call.
     sqtwo = sqrt(2.0)
-    gauss_norm_n   = sqtwo / (n * sqpi * gamn)
+    gauss_norm_n = sqtwo / (n * sqpi * gamn)
     gauss_norm_np1 = sqtwo / ((n + 1.0) * sqpi * gamp)
 
     return PnQuadEntry(sh, ch, shp, chp, gauss_norm_n, gauss_norm_np1)
diff --git a/test/runtests_coordinate_invariant.jl b/test/runtests_coordinate_invariant.jl
index 39b20330a..63fe773e3 100644
--- a/test/runtests_coordinate_invariant.jl
+++ b/test/runtests_coordinate_invariant.jl
@@ -43,31 +43,31 @@ end
     fm = PE.field_space_response_matrices(Λ, L, P, ϱ, S, jarea)
 
     @testset "Flux recovery contract (round-trip via R = S·A)" begin
-        @test R * fm.permeability / R ≈ P                rtol = 1e-10
-        @test R * fm.surface_inductance * R' ≈ L         rtol = 1e-10
-        @test R * fm.plasma_inductance * R' ≈ Λ          rtol = 1e-10
-        @test (R') \ fm.reluctance / R ≈ ϱ               rtol = 1e-10
+        @test R * fm.permeability / R ≈ P rtol = 1e-10
+        @test R * fm.surface_inductance * R' ≈ L rtol = 1e-10
+        @test R * fm.plasma_inductance * R' ≈ Λ rtol = 1e-10
+        @test (R') \ fm.reluctance / R ≈ ϱ rtol = 1e-10
     end
 
     @testset "Area-weighted (b̄) recovery via S (= flux/A²)" begin
         # b̄-space inductance L_b̄ = S·L̃·S† = L/A² since S·R⁻¹ = A⁻¹·I.
-        @test S * fm.surface_inductance * S' ≈ L ./ jarea^2   rtol = 1e-10
-        @test S * fm.plasma_inductance * S' ≈ Λ ./ jarea^2    rtol = 1e-10
-        @test S * fm.permeability / S ≈ P                     rtol = 1e-10   # similarity: A cancels
+        @test S * fm.surface_inductance * S' ≈ L ./ jarea^2 rtol = 1e-10
+        @test S * fm.plasma_inductance * S' ≈ Λ ./ jarea^2 rtol = 1e-10
+        @test S * fm.permeability / S ≈ P rtol = 1e-10   # similarity: A cancels
     end
 
     @testset "Internal consistency of the b̃ transform rules" begin
-        @test fm.permeability ≈ fm.plasma_inductance / fm.surface_inductance      rtol = 1e-10
+        @test fm.permeability ≈ fm.plasma_inductance / fm.surface_inductance rtol = 1e-10
         L̃inv = inv(fm.surface_inductance)
-        @test fm.reluctance ≈ L̃inv * (fm.plasma_inductance - fm.surface_inductance) * L̃inv  rtol = 1e-10
+        @test fm.reluctance ≈ L̃inv * (fm.plasma_inductance - fm.surface_inductance) * L̃inv rtol = 1e-10
     end
 
     @testset "Energy-scalar invariance (flux ↔ b̃)" begin
         Φ = ComplexF64[cis(0.3k) / k for k in 1:n]
         b̃ = R \ Φ                          # root-area-weighted field
-        @test dot(Φ, L \ Φ) ≈ dot(b̃, fm.surface_inductance \ b̃)   rtol = 1e-10
-        @test dot(Φ, Λ \ Φ) ≈ dot(b̃, fm.plasma_inductance \ b̃)    rtol = 1e-10
-        @test dot(Φ, ϱ * Φ) ≈ dot(b̃, fm.reluctance * b̃)           rtol = 1e-10
+        @test dot(Φ, L \ Φ) ≈ dot(b̃, fm.surface_inductance \ b̃) rtol = 1e-10
+        @test dot(Φ, Λ \ Φ) ≈ dot(b̃, fm.plasma_inductance \ b̃) rtol = 1e-10
+        @test dot(Φ, ϱ * Φ) ≈ dot(b̃, fm.reluctance * b̃) rtol = 1e-10
     end
 
     @testset "Three-field vector relations (b, b̃, b̄; flux = A·b̄)" begin
@@ -75,9 +75,9 @@ end
         b̄ = S * b̃                          # area-weighted field
         b = (S .* sqrt(jarea)) \ b̃          # bare field b = Σ⁻¹·b̃
         Φ = R * b̃                           # poloidal flux
-        @test Φ ≈ jarea .* b̄               rtol = 1e-12   # Φ = A·b̄
-        @test b̄ ≈ Φ ./ jarea               rtol = 1e-12
-        @test (S .* sqrt(jarea)) * b ≈ b̃    rtol = 1e-12   # Σ·b = b̃
+        @test Φ ≈ jarea .* b̄ rtol = 1e-12   # Φ = A·b̄
+        @test b̄ ≈ Φ ./ jarea rtol = 1e-12
+        @test (S .* sqrt(jarea)) * b ≈ b̃ rtol = 1e-12   # Σ·b = b̃
     end
 end
 
diff --git a/test/runtests_dispersion_amr.jl b/test/runtests_dispersion_amr.jl
index 014f3d019..86ed61653 100644
--- a/test/runtests_dispersion_amr.jl
+++ b/test/runtests_dispersion_amr.jl
@@ -13,7 +13,7 @@
 
         # Small 2×2 initial grid → 9 unique corners
         amr = amr_scan(counting_f, (-1.0, 1.0), (-1.0, 1.0);
-                        nre0=2, nim0=2, passes=0)
+            nre0=2, nim0=2, passes=0)
         @test amr isa AMRResult
         @test length(amr.cells) == 4       # 2×2 cells
         # Dedup: 9 unique corners (3×3)
@@ -27,7 +27,7 @@
         amr0 = amr_scan(f, (-1.0, 1.0), (-1.0, 1.0); nre0=4, nim0=4, passes=0)
         amr3 = amr_scan(f, (-1.0, 1.0), (-1.0, 1.0); nre0=4, nim0=4, passes=3)
         @test length(amr3.cells) > length(amr0.cells)
-        @test length(amr3.Q)    > length(amr0.Q)
+        @test length(amr3.Q) > length(amr0.Q)
         # A 4×4 coarse grid is 16 cells; adding 3 refinement passes must
         # leave the total bounded by exponential growth of only the cells
         # bracketing the root (roughly linear in the path length).
@@ -36,26 +36,26 @@
 
     @testset "amr_scan: argument validation" begin
         @test_throws ArgumentError amr_scan(identity, (0.0, 1.0), (0.0, 1.0);
-                                              nre0=0, nim0=2, passes=1)
+            nre0=0, nim0=2, passes=1)
         @test_throws ArgumentError amr_scan(identity, (0.0, 1.0), (0.0, 1.0);
-                                              nre0=2, nim0=0, passes=1)
+            nre0=2, nim0=0, passes=1)
         @test_throws ArgumentError amr_scan(identity, (0.0, 1.0), (0.0, 1.0);
-                                              nre0=2, nim0=2, passes=-1)
+            nre0=2, nim0=2, passes=-1)
     end
 
     @testset "amr_scan: max_cells safety cap fires" begin
         # A pathological f that forces every cell to subdivide every pass
         f(Q) = 0.0 + 0.0im        # identically zero → every cell crosses
         @test_throws ErrorException amr_scan(f, (-1.0, 1.0), (-1.0, 1.0);
-                                               nre0=4, nim0=4, passes=10,
-                                               max_cells=100)
+            nre0=4, nim0=4, passes=10,
+            max_cells=100)
     end
 
     @testset "find_growth_rates(AMR): single isolated root" begin
         Q_root = 0.42 + 0.27im
         f(Q) = ComplexF64(Q) - Q_root
         amr = amr_scan(f, (-1.0, 1.5), (-0.5, 1.0);
-                        nre0=8, nim0=6, passes=4)
+            nre0=8, nim0=6, passes=4)
         result = find_growth_rates(amr, 1.0)
         @test result isa GrowthRateResult
         @test abs(result.Q_root - Q_root) < 1e-3     # AMR-resolution limited
@@ -68,7 +68,7 @@
         Q2 = -0.4 + 0.1im
         f(Q) = (ComplexF64(Q) - Q1) * (ComplexF64(Q) - Q2)
         amr = amr_scan(f, (-1.0, 1.0), (-0.3, 0.8);
-                        nre0=10, nim0=8, passes=4)
+            nre0=10, nim0=8, passes=4)
         result = find_growth_rates(amr, 1.0)
         @test length(result.valid_roots) == 2
         @test abs(result.Q_root - Q1) < 1e-2
@@ -79,7 +79,7 @@
         Q_p = -0.5 + 0.6im
         f(Q) = (ComplexF64(Q) - Q_r) / (ComplexF64(Q) - Q_p)
         amr = amr_scan(f, (-1.5, 1.5), (-0.5, 1.5);
-                        nre0=10, nim0=8, passes=5)
+            nre0=10, nim0=8, passes=5)
         result = find_growth_rates(amr, 1.0; pole_threshold=10.0)
         @test length(result.poles) >= 1
         @test any(p -> abs(p - Q_p) < 0.05, result.poles)
@@ -90,7 +90,7 @@
         Q_root = 1.0 + 2.0im
         f(Q) = ComplexF64(Q) - Q_root
         amr = amr_scan(f, (-2.0, 3.0), (-1.0, 4.0);
-                        nre0=8, nim0=8, passes=4)
+            nre0=8, nim0=8, passes=4)
         tauk = 5e-5
         result = find_growth_rates(amr, tauk)
         @test result.omega_Hz ≈ real(result.Q_root) / tauk
@@ -119,13 +119,13 @@
         Q_root = 0.5 + 0.3im
         f(Q) = ComplexF64(Q) - Q_root
         scan = brute_force_scan(f, (-1.0, 1.0), (-0.5, 1.0);
-                                 nre=80, nim=60, threaded=false)
-        amr  = amr_scan(f, (-1.0, 1.0), (-0.5, 1.0);
-                         nre0=8, nim0=6, passes=4)
+            nre=80, nim=60, threaded=false)
+        amr = amr_scan(f, (-1.0, 1.0), (-0.5, 1.0);
+            nre0=8, nim0=6, passes=4)
         r_grid = find_growth_rates(scan, 1.0)
-        r_amr  = find_growth_rates(amr,  1.0)
+        r_amr = find_growth_rates(amr, 1.0)
         @test abs(r_grid.Q_root - Q_root) < 1e-3
-        @test abs(r_amr.Q_root  - Q_root) < 1e-3
+        @test abs(r_amr.Q_root - Q_root) < 1e-3
         @test abs(r_grid.Q_root - r_amr.Q_root) < 5e-3
     end
 
@@ -140,22 +140,22 @@
 
         Q_pin = 0.7 - 0.3im
         sc = surface_coupling(LinModel(0.0im, 1.0+0im), nothing,
-                               Q_pin; scale=1.0, tauk=1.0)
+            Q_pin; scale=1.0, tauk=1.0)
         amr = amr_scan(sc, (-0.5, 1.5), (-1.0, 0.5);
-                        nre0=8, nim0=6, passes=4)
+            nre0=8, nim0=6, passes=4)
         r = find_growth_rates(amr, sc.tauk)
         @test abs(r.Q_root - Q_pin) < 1e-2
 
         # Multi-surface coupled scan through AMR
         Q_a, Q_b = 0.7 - 0.3im, -0.4 + 0.5im
         sc1 = surface_coupling(LinModel(0.0im, 1.0+0im), nothing,
-                                ComplexF64(0); scale=1.0, tauk=1.0)
+            ComplexF64(0); scale=1.0, tauk=1.0)
         sc2 = surface_coupling(LinModel(0.0im, 1.0+0im), nothing,
-                                ComplexF64(0); scale=1.0, tauk=1.0)
+            ComplexF64(0); scale=1.0, tauk=1.0)
         dp = ComplexF64[Q_a 0.0; 0.0 Q_b]
         mc = multi_surface_coupling([sc1, sc2], dp)
         amr_c = amr_scan(mc, (-1.0, 1.5), (-1.0, 1.0);
-                          nre0=10, nim0=8, passes=4)
+            nre0=10, nim0=8, passes=4)
         r_c = find_growth_rates(amr_c, mc.surfaces[mc.ref_idx].tauk)
         @test abs(r_c.Q_root - Q_b) < 1e-2     # higher-γ root
     end
@@ -175,15 +175,15 @@
         # otherwise crosses the entire real axis).
         f(Q) = (ComplexF64(Q) - 0.0) / (ComplexF64(Q) - (-50.0)) + (1.0 + 1.0im)
         boxes = [((-75.0, -25.0), (-25.0, 25.0)),
-                 ((-25.0,  25.0), (-25.0, 25.0)),
-                 (( 25.0,  75.0), (-25.0, 25.0))]
+            ((-25.0, 25.0), (-25.0, 25.0)),
+            ((25.0, 75.0), (-25.0, 25.0))]
         result = multi_box_amr_scan(f, boxes;
-                                     pole_magnitude_threshold=10.0,
-                                     prescreen_nre=25, prescreen_nim=25,
-                                     nre0=25, nim0=25, passes=2,
-                                     max_cells=100_000,
-                                     max_cells_action=:warn_truncate,
-                                     parallel=false)
+            pole_magnitude_threshold=10.0,
+            prescreen_nre=25, prescreen_nim=25,
+            nre0=25, nim0=25, passes=2,
+            max_cells=100_000,
+            max_cells_action=:warn_truncate,
+            parallel=false)
         @test result isa MultiBoxAMRResult
         @test length(result.box_results) == 3
         @test length(result.box_activity) == 3
@@ -212,15 +212,15 @@
         # independent of sign-change tests.
         g(Q) = 1000.0 / (ComplexF64(Q) - (-50.0))^2 + (5.0 + 5.0im)
         boxes = [((-75.0, -25.0), (-25.0, 25.0)),
-                 ((-25.0,  25.0), (-25.0, 25.0)),
-                 (( 25.0,  75.0), (-25.0, 25.0))]
+            ((-25.0, 25.0), (-25.0, 25.0)),
+            ((25.0, 75.0), (-25.0, 25.0))]
         result = multi_box_amr_scan(g, boxes;
-                                     pole_magnitude_threshold=50.0,
-                                     prescreen_nre=25, prescreen_nim=25,
-                                     nre0=25, nim0=25, passes=1,
-                                     max_cells=100_000,
-                                     max_cells_action=:warn_truncate,
-                                     parallel=false)
+            pole_magnitude_threshold=50.0,
+            prescreen_nre=25, prescreen_nim=25,
+            nre0=25, nim0=25, passes=1,
+            max_cells=100_000,
+            max_cells_action=:warn_truncate,
+            parallel=false)
         @test result.box_activity[1] != NoActivity
         @test result.box_activity[2] == NoActivity
         @test result.box_activity[3] == NoActivity
diff --git a/test/runtests_dispersion_coupled.jl b/test/runtests_dispersion_coupled.jl
index 5a65539ff..d29745479 100644
--- a/test/runtests_dispersion_coupled.jl
+++ b/test/runtests_dispersion_coupled.jl
@@ -29,9 +29,9 @@
 
     @testset "Constructor validation" begin
         sc1 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               1.0+0im; scale=1.0, tauk=1.0)
+            1.0+0im; scale=1.0, tauk=1.0)
         sc2 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               2.0+0im; scale=1.0, tauk=1.0)
+            2.0+0im; scale=1.0, tauk=1.0)
         good_dp = ComplexF64[1.0 0.1; 0.1 2.0]
 
         mc = multi_surface_coupling([sc1, sc2], good_dp)
@@ -41,7 +41,7 @@
 
         # 3-surface default also caps at 3 (min(3, 3) = 3)
         sc3 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               3.0+0im; scale=1.0, tauk=1.0)
+            3.0+0im; scale=1.0, tauk=1.0)
         good_dp3 = ComplexF64[1.0 0.1 0.0; 0.1 2.0 0.0; 0.0 0.0 3.0]
         mc3 = multi_surface_coupling([sc1, sc2, sc3], good_dp3)
         @test mc3.msing_max == 3
@@ -49,16 +49,16 @@
         # 4-surface case caps at 3 (the design default — Δ' beyond 3 surfaces
         # tends to be erratic in practice)
         sc4 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               4.0+0im; scale=1.0, tauk=1.0)
+            4.0+0im; scale=1.0, tauk=1.0)
         good_dp4 = ComplexF64[1.0 0.0 0.0 0.0;
-                               0.0 2.0 0.0 0.0;
-                               0.0 0.0 3.0 0.0;
-                               0.0 0.0 0.0 4.0]
+            0.0 2.0 0.0 0.0;
+            0.0 0.0 3.0 0.0;
+            0.0 0.0 0.0 4.0]
         mc4 = multi_surface_coupling([sc1, sc2, sc3, sc4], good_dp4)
         @test mc4.msing_max == 3         # default capped at 3
         # Caller can opt in to all 4
         mc4_full = multi_surface_coupling([sc1, sc2, sc3, sc4], good_dp4;
-                                           msing_max=4)
+            msing_max=4)
         @test mc4_full.msing_max == 4
 
         # Mismatched dp size
@@ -69,15 +69,15 @@
 
         # Out-of-range ref_idx
         @test_throws ArgumentError multi_surface_coupling([sc1, sc2], good_dp;
-                                                           ref_idx=3)
+            ref_idx=3)
         @test_throws ArgumentError multi_surface_coupling([sc1, sc2], good_dp;
-                                                           ref_idx=0)
+            ref_idx=0)
 
         # Out-of-range msing_max
         @test_throws ArgumentError multi_surface_coupling([sc1, sc2], good_dp;
-                                                           msing_max=3)
+            msing_max=3)
         @test_throws ArgumentError multi_surface_coupling([sc1, sc2], good_dp;
-                                                           msing_max=0)
+            msing_max=0)
     end
 
     @testset "Diagonal Δ' factorizes (det = ∏ per-surface residuals)" begin
@@ -85,14 +85,14 @@
         # the coupled determinant should reduce exactly to the product of
         # per-surface residuals.
         sc1 = surface_coupling(LinTestModel(1.0+0im, 1.0+0im), nothing,
-                               5.0+0im; scale=1.0, tauk=1.0)
+            5.0+0im; scale=1.0, tauk=1.0)
         sc2 = surface_coupling(LinTestModel(2.0+0im, 1.0+0im), nothing,
-                               7.0+0im; scale=1.0, tauk=1.0)
+            7.0+0im; scale=1.0, tauk=1.0)
         sc3 = surface_coupling(LinTestModel(0.5+0im, 0.5+0im), nothing,
-                               3.0+0im; scale=1.0, tauk=1.0)
+            3.0+0im; scale=1.0, tauk=1.0)
         dp = ComplexF64[5.0 0.0 0.0;
-                         0.0 7.0 0.0;
-                         0.0 0.0 3.0]
+            0.0 7.0 0.0;
+            0.0 0.0 3.0]
         mc = multi_surface_coupling([sc1, sc2, sc3], dp)
         for Q in (0.5+0im, 2.0+0.3im, -1.0-0.5im, 4.5+1.0im)
             @test mc(Q) ≈ sc1(Q) * sc2(Q) * sc3(Q) rtol = 1e-12
@@ -105,9 +105,9 @@
         # single-surface roots.
         Q1, Q2 = 0.5+0.0im, 2.0+0.0im
         sc1 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               Q1; scale=1.0, tauk=1.0)
+            Q1; scale=1.0, tauk=1.0)
         sc2 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               Q2; scale=1.0, tauk=1.0)
+            Q2; scale=1.0, tauk=1.0)
         dp = ComplexF64[real(Q1) 0.0; 0.0 real(Q2)]
         mc = multi_surface_coupling([sc1, sc2], dp)
         @test abs(mc(Q1)) < 1e-12
@@ -117,9 +117,9 @@
 
     @testset "Off-diagonal coupling shifts the roots away from the diagonal" begin
         sc1 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               0.5+0im; scale=1.0, tauk=1.0)
+            0.5+0im; scale=1.0, tauk=1.0)
         sc2 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               2.0+0im; scale=1.0, tauk=1.0)
+            2.0+0im; scale=1.0, tauk=1.0)
         # Coupling-free baseline
         dp_diag = ComplexF64[0.5 0.0; 0.0 2.0]
         mc_diag = multi_surface_coupling([sc1, sc2], dp_diag)
@@ -138,14 +138,14 @@
 
     @testset "msing_max truncation uses upper-left submatrix" begin
         sc1 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               1.0+0im; scale=1.0, tauk=1.0)
+            1.0+0im; scale=1.0, tauk=1.0)
         sc2 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               2.0+0im; scale=1.0, tauk=1.0)
+            2.0+0im; scale=1.0, tauk=1.0)
         sc3 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               3.0+0im; scale=1.0, tauk=1.0)
+            3.0+0im; scale=1.0, tauk=1.0)
         dp = ComplexF64[1.0 0.0 0.0;
-                         0.0 2.0 0.0;
-                         0.0 0.0 3.0]
+            0.0 2.0 0.0;
+            0.0 0.0 3.0]
 
         # msing_max = 1 reduces to sc1(Q) alone
         mc1 = multi_surface_coupling([sc1, sc2, sc3], dp; msing_max=1)
@@ -173,9 +173,9 @@
         #   M[k,k] = dp_diag_k - scale·Q·(tauk_ref/tauk_k)
         # Verify against an explicit closed form with mismatched tauks.
         sc1 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               0.0+0im; scale=1.0, tauk=2.0)   # ref tauk
+            0.0+0im; scale=1.0, tauk=2.0)   # ref tauk
         sc2 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               0.0+0im; scale=1.0, tauk=4.0)   # half rate
+            0.0+0im; scale=1.0, tauk=4.0)   # half rate
         dp = ComplexF64[0.0 0.0; 0.0 0.0]
         mc = multi_surface_coupling([sc1, sc2], dp; ref_idx=1)
         for Q in (1.0+0im, 0.5+0.3im)
@@ -219,8 +219,8 @@
         # Pick M[1,1] arbitrarily, solve for M[2,2]:
         M11 = 0.7 + 0.0im
         M22 = (c12 * c21) / M11
-        dp = ComplexF64[M11+Δ1  c12;
-                         c21    M22+Δ2]
+        dp = ComplexF64[M11+Δ1 c12;
+            c21 M22+Δ2]
 
         mc = multi_surface_coupling([sc1, sc2], dp)
         # The constructed M(Q_pin) is exactly singular by construction
@@ -244,9 +244,9 @@
     @testset "Broadcast over a 2D Q grid" begin
         # Coupled residual must be broadcast-compatible for PR 5/6 scans.
         sc1 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               0.0+0im; scale=1.0, tauk=1.0)
+            0.0+0im; scale=1.0, tauk=1.0)
         sc2 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               0.0+0im; scale=1.0, tauk=1.0)
+            0.0+0im; scale=1.0, tauk=1.0)
         dp = ComplexF64[0.0 0.0; 0.0 0.0]
         mc = multi_surface_coupling([sc1, sc2], dp)
 
diff --git a/test/runtests_dispersion_coupled_full.jl b/test/runtests_dispersion_coupled_full.jl
index d471650f8..65eec71c8 100644
--- a/test/runtests_dispersion_coupled_full.jl
+++ b/test/runtests_dispersion_coupled_full.jl
@@ -255,7 +255,7 @@
             0.2 0.1 0.05 0.1 0.3 -6.5]
         # Non-trivial Q dependence: Δ_t(Q) = a + 0.5·Q, Δ_i(Q) = b + 0.2·Q
         scs = [surface_coupling(_LinearInnerF(0.3 + 0.01k * im, 0.5 + 0im,
-                0.7 + 0.02k * im, 0.2 + 0im),
+            0.7 + 0.02k * im, 0.2 + 0im),
             nothing, 0 + 0im; scale=1.0, tauk=1.0)
                for k in 1:m]
         mc = multi_surface_coupling_full(scs, Random_dp)
diff --git a/test/runtests_dispersion_polish.jl b/test/runtests_dispersion_polish.jl
index 8bc4c9702..8e7ae2e7b 100644
--- a/test/runtests_dispersion_polish.jl
+++ b/test/runtests_dispersion_polish.jl
@@ -106,7 +106,7 @@
         r1 = 0.30 + 0.20im
         r2 = r1 + 0.002                          # second root 0.002 away
         f(Q) = (ComplexF64(Q) - r1) * (ComplexF64(Q) - r2)
-        pts = ComplexF64[r1 + 0.0003, r2 - 0.0003]   # coarse contour estimates
+        pts = ComplexF64[r1+0.0003, r2-0.0003]   # coarse contour estimates
         R1 = D._polish_trust_radius(pts, 1, 0.001)
         R2 = D._polish_trust_radius(pts, 2, 0.001)
         p1 = D._polish_root(f, pts[1], R1)[1]
@@ -124,7 +124,7 @@
         im_paths = [ComplexF64[0+0im, 0+0.1im]]            # segment length 0.1
         @test D._median_segment_length(re_paths, im_paths) ≈ 0.1   # median of [0.1,0.2,0.1]
         @test D._median_segment_length(Vector{Vector{ComplexF64}}(),
-                                       Vector{Vector{ComplexF64}}()) == 0.0
+            Vector{Vector{ComplexF64}}()) == 0.0
     end
 
     # ----------------------------------------------------------------
diff --git a/test/runtests_dispersion_residual.jl b/test/runtests_dispersion_residual.jl
index d0235a0da..40cdbfd5d 100644
--- a/test/runtests_dispersion_residual.jl
+++ b/test/runtests_dispersion_residual.jl
@@ -30,35 +30,35 @@
     @testset "Constructor scale defaults" begin
         # SLAYER: scale = lu^(1/3) so the dimensionless Δ from riccati_f
         # is mapped to outer ψ-units (Fortran SLAYER growthrates routine)
-        p_sl  = _slayer_ref()
+        p_sl = _slayer_ref()
         sc_sl = surface_coupling(SLAYERModel(), p_sl, -1.0 + 0.0im)
         @test sc_sl.scale ≈ p_sl.lu^(1/3)
         @test sc_sl.dc == 0.0
         @test sc_sl.dp_diag == ComplexF64(-1.0)
 
         # GGJ: scale = 1 because rescale_delta is applied inside solve_inner
-        p_ggj  = glasser_wang_2020_eq55()
+        p_ggj = glasser_wang_2020_eq55()
         sc_ggj = surface_coupling(GGJModel(solver=:shooting), p_ggj,
-                                   -1.0 + 0.0im)
+            -1.0 + 0.0im)
         @test sc_ggj.scale == 1.0
 
         # Generic fallback honors explicit scale + dc kwargs
         sc_lin = surface_coupling(LinearTestModel(0.0im, 1.0+0im), nothing,
-                                   3.0 + 0.0im; dc=0.5, scale=2.0)
+            3.0 + 0.0im; dc=0.5, scale=2.0)
         @test sc_lin.scale == 2.0
         @test sc_lin.dc == 0.5
     end
 
     @testset "Residual arithmetic on synthetic linear model" begin
         # r(Q) = dp_diag - scale·(a + b·Q) - dc
-        a, b   = 1.0 + 2.0im, -0.5 + 1.0im
-        scale  = 3.0
-        dc     = 0.25
+        a, b = 1.0 + 2.0im, -0.5 + 1.0im
+        scale = 3.0
+        dc = 0.25
         Q_root = -0.7 + 0.3im
         dp_diag = (a + b * Q_root) * scale + dc       # construct a known root
 
         sc = surface_coupling(LinearTestModel(a, b), nothing, dp_diag;
-                              dc=dc, scale=scale)
+            dc=dc, scale=scale)
         @test sc(Q_root) ≈ 0 atol = 1e-12
 
         # Off-root residual matches the closed form
@@ -89,14 +89,14 @@
         # Both inner-layer models flow through the same SurfaceCoupling
         # API. Numerical agreement is *not* asserted (different physics) —
         # only that both pipelines construct and evaluate.
-        p_sl  = _slayer_ref()
+        p_sl = _slayer_ref()
         sc_sl = surface_coupling(SLAYERModel(), p_sl, -100.0 + 0.0im)
         @test sc_sl isa SurfaceCoupling{SLAYERModel{:fitzpatrick},SLAYERParameters}
         @test sc_sl(0.0 + 0.5im) isa ComplexF64
 
-        p_ggj  = glasser_wang_2020_eq55()
+        p_ggj = glasser_wang_2020_eq55()
         sc_ggj = surface_coupling(GGJModel(solver=:shooting), p_ggj,
-                                   -1.0 + 0.0im)
+            -1.0 + 0.0im)
         @test sc_ggj isa SurfaceCoupling{GGJModel{:shooting},GGJParameters}
         @test sc_ggj(1e-3 + 0.0im) isa ComplexF64
     end
@@ -106,7 +106,7 @@
         # complex-Q grid; verify that broadcasting works element-wise.
         a, b = 0.0+0im, 1.0+0im
         sc = surface_coupling(LinearTestModel(a, b), nothing, 2.0+0im;
-                              dc=0.0, scale=1.0)
+            dc=0.0, scale=1.0)
         Q_grid = [(qr + qi*im) for qr in -1.0:0.5:1.0, qi in -1.0:0.5:1.0]
         Δ_grid = sc.(Q_grid)
         @test size(Δ_grid) == size(Q_grid)
diff --git a/test/runtests_dispersion_scan.jl b/test/runtests_dispersion_scan.jl
index f50b449fc..00145ad63 100644
--- a/test/runtests_dispersion_scan.jl
+++ b/test/runtests_dispersion_scan.jl
@@ -7,16 +7,16 @@
     @testset "brute_force_scan: regular grid evaluation" begin
         f(Q) = ComplexF64(Q)^2 - 1
         scan = brute_force_scan(f, (-2.0, 2.0), (-1.0, 1.0);
-                                nre=21, nim=11, threaded=false)
+            nre=21, nim=11, threaded=false)
         @test scan isa ScanResult
         @test size(scan.Q) == (21, 11)
         @test size(scan.Δ) == (21, 11)
         @test length(scan.re_axis) == 21
         @test length(scan.im_axis) == 11
-        @test scan.re_axis[1]   == -2.0
-        @test scan.re_axis[end] ==  2.0
-        @test scan.im_axis[1]   == -1.0
-        @test scan.im_axis[end] ==  1.0
+        @test scan.re_axis[1] == -2.0
+        @test scan.re_axis[end] == 2.0
+        @test scan.im_axis[1] == -1.0
+        @test scan.im_axis[end] == 1.0
         # Spot-check a grid value
         i, j = 11, 6
         @test scan.Q[i, j] ≈ scan.re_axis[i] + scan.im_axis[j]*im
@@ -26,17 +26,17 @@
     @testset "brute_force_scan: threaded vs non-threaded agree" begin
         f(Q) = sin(ComplexF64(Q))
         s_t = brute_force_scan(f, (-1.0, 1.0), (-0.5, 0.5);
-                               nre=15, nim=10, threaded=true)
+            nre=15, nim=10, threaded=true)
         s_n = brute_force_scan(f, (-1.0, 1.0), (-0.5, 0.5);
-                               nre=15, nim=10, threaded=false)
+            nre=15, nim=10, threaded=false)
         @test s_t.Δ == s_n.Δ
     end
 
     @testset "brute_force_scan: argument validation" begin
         @test_throws ArgumentError brute_force_scan(identity, (0.0, 1.0),
-                                                     (0.0, 1.0); nre=1, nim=10)
+            (0.0, 1.0); nre=1, nim=10)
         @test_throws ArgumentError brute_force_scan(identity, (0.0, 1.0),
-                                                     (0.0, 1.0); nre=10, nim=1)
+            (0.0, 1.0); nre=10, nim=1)
     end
 
     @testset "find_growth_rates: single isolated root" begin
@@ -44,7 +44,7 @@
         Q_root = 0.42 + 0.27im
         f(Q) = ComplexF64(Q) - Q_root
         scan = brute_force_scan(f, (-1.0, 1.5), (-0.5, 1.0);
-                                 nre=80, nim=60, threaded=false)
+            nre=80, nim=60, threaded=false)
         result = find_growth_rates(scan, 1.0)
         @test result isa GrowthRateResult
         @test isempty(result.poles)
@@ -60,7 +60,7 @@
         Q2 = -0.4 + 0.1im      # lower γ
         f(Q) = (ComplexF64(Q) - Q1) * (ComplexF64(Q) - Q2)
         scan = brute_force_scan(f, (-1.0, 1.0), (-0.3, 0.8);
-                                 nre=100, nim=80, threaded=false)
+            nre=100, nim=80, threaded=false)
         result = find_growth_rates(scan, 1.0)
         @test length(result.valid_roots) == 2
         @test abs(result.Q_root - Q1) < 1e-3        # higher-γ root chosen
@@ -73,7 +73,7 @@
         Q_p = -0.5 + 0.6im     # pole at higher γ
         f(Q) = (ComplexF64(Q) - Q_r) / (ComplexF64(Q) - Q_p)
         scan = brute_force_scan(f, (-1.5, 1.5), (-0.5, 1.5);
-                                 nre=120, nim=100, threaded=false)
+            nre=120, nim=100, threaded=false)
         result = find_growth_rates(scan, 1.0; pole_threshold=10.0)
         # Pole correctly classified — but the root is at lower γ than the
         # pole, so even with filter_above_poles=true the root must survive.
@@ -86,14 +86,14 @@
         Q_root = 1.0 + 2.0im
         f(Q) = ComplexF64(Q) - Q_root
         scan = brute_force_scan(f, (-2.0, 3.0), (-1.0, 4.0);
-                                 nre=80, nim=80, threaded=false)
+            nre=80, nim=80, threaded=false)
         tauk = 5.0e-5
         result = find_growth_rates(scan, tauk)
         @test result.omega_Hz ≈ real(result.Q_root) / tauk
         @test result.gamma_Hz ≈ imag(result.Q_root) / tauk
         # Check sensible orders of magnitude (Q_root ≈ 1+2im, tauk ≈ 5e-5)
-        @test result.omega_Hz ≈ 1 / tauk      atol = 1 / tauk * 5e-3
-        @test result.gamma_Hz ≈ 2 / tauk      atol = 2 / tauk * 5e-3
+        @test result.omega_Hz ≈ 1 / tauk atol = 1 / tauk * 5e-3
+        @test result.gamma_Hz ≈ 2 / tauk atol = 2 / tauk * 5e-3
     end
 
     @testset "find_growth_rates: empty result when no contour intersections" begin
@@ -102,7 +102,7 @@
         f(Q) = 1.0 + ComplexF64(Q)
         # Choose a box where Δ has no zeros — far above the real axis
         scan = brute_force_scan(f, (1.0, 2.0), (1.0, 2.0);
-                                 nre=30, nim=30, threaded=false)
+            nre=30, nim=30, threaded=false)
         result = find_growth_rates(scan, 1.0)
         # Either no valid roots, or a NaN Q_root
         @test isempty(result.valid_roots) || isnan(real(result.Q_root))
@@ -122,9 +122,9 @@
         # Single-surface scan via SurfaceCoupling (Q_root by construction = 0.7-0.3im)
         Q_pin = 0.7 - 0.3im
         sc = surface_coupling(LinModel(0.0im, 1.0+0im), nothing,
-                              Q_pin; scale=1.0, tauk=1.0)
+            Q_pin; scale=1.0, tauk=1.0)
         scan = brute_force_scan(sc, (-0.5, 1.5), (-1.0, 0.5);
-                                 nre=80, nim=80, threaded=false)
+            nre=80, nim=80, threaded=false)
         res = find_growth_rates(scan, sc.tauk)
         @test abs(res.Q_root - Q_pin) < 1e-3
 
@@ -136,13 +136,13 @@
         # full complex value, not just its real part).
         Q_a, Q_b = 0.7 - 0.3im, -0.4 + 0.5im
         sc1 = surface_coupling(LinModel(0.0im, 1.0+0im), nothing,
-                                ComplexF64(0); scale=1.0, tauk=1.0)
+            ComplexF64(0); scale=1.0, tauk=1.0)
         sc2 = surface_coupling(LinModel(0.0im, 1.0+0im), nothing,
-                                ComplexF64(0); scale=1.0, tauk=1.0)
+            ComplexF64(0); scale=1.0, tauk=1.0)
         dp = ComplexF64[Q_a 0.0; 0.0 Q_b]               # diagonal Δ'
         mc = multi_surface_coupling([sc1, sc2], dp)
         scan_c = brute_force_scan(mc, (-1.0, 1.5), (-1.0, 1.0);
-                                   nre=120, nim=100, threaded=false)
+            nre=120, nim=100, threaded=false)
         res_c = find_growth_rates(scan_c, mc.surfaces[mc.ref_idx].tauk)
         # With diagonal Δ', det = (Q_a - Q)·(Q_b - Q) → roots at Q_a, Q_b.
         # The higher-γ root is Q_b (γ = 0.5).
diff --git a/test/runtests_equil.jl b/test/runtests_equil.jl
index af3cd5743..782ae6120 100644
--- a/test/runtests_equil.jl
+++ b/test/runtests_equil.jl
@@ -143,7 +143,7 @@
     @testset "EFIT Method Consistency" begin
         # All three methods solve the same equilibrium — q-profiles should broadly agree.
         # Tolerance is 10% to allow for method-specific discretisation differences.
-        q_efit      = plasma_eq_efit.profiles.q_spline.y
+        q_efit = plasma_eq_efit.profiles.q_spline.y
         q_arclength = plasma_eq_arclength.profiles.q_spline.y
         q_inversion = plasma_eq_inversion.profiles.q_spline.y
 
@@ -242,7 +242,7 @@
         b0exp = 7.4  # CHEASE normalization field [T]
 
         B_nodes_binary = plasma_eq_binary.eqfun_B.nodal_derivs.partials[1, :, :]
-        B_nodes_ascii  = plasma_eq_ascii.eqfun_B.nodal_derivs.partials[1, :, :]
+        B_nodes_ascii = plasma_eq_ascii.eqfun_B.nodal_derivs.partials[1, :, :]
 
         # B field must be finite and positive everywhere
         @test all(isfinite, B_nodes_binary)
@@ -258,7 +258,7 @@
 
         # q must be finite, positive, and in a physically reasonable range
         q_binary = plasma_eq_binary.profiles.q_spline.y
-        q_ascii  = plasma_eq_ascii.profiles.q_spline.y
+        q_ascii = plasma_eq_ascii.profiles.q_spline.y
         @test all(isfinite, q_binary)
         @test all(isfinite, q_ascii)
         @test all(>(0), q_binary)
@@ -436,7 +436,7 @@
         Eq = GeneralizedPerturbedEquilibrium.Equilibrium
 
         function build_solovev_equilibrium(; e=1.6, a=0.33, r0=1.0, q0=1.9,
-                mpsi=64, mtheta=128)
+            mpsi=64, mtheta=128)
             eq_config = Eq.EquilibriumConfig(;
                 eq_type="sol", eq_filename="unused",
                 jac_type="pest", grid_type="ldp",
@@ -515,24 +515,24 @@
             @test pe.params.zsep[1] > pe.params.zsep[2]
 
             # Shape parameters — all physically positive quantities.
-            @test pe.params.amean  > 0
-            @test pe.params.rmean  > 0
+            @test pe.params.amean > 0
+            @test pe.params.rmean > 0
             @test pe.params.aratio > 0
-            @test pe.params.kappa  > 0
-            @test pe.params.kappa  ≈ 1.6 rtol=0.02
+            @test pe.params.kappa > 0
+            @test pe.params.kappa ≈ 1.6 rtol=0.02
 
             # For Solovev (e=1.6, a=0.33, r0=1.0) the shape is approximately
             # recovered (Shafranov shift loosens the match).
             @test pe.params.amean ≈ 0.33 rtol=0.15
-            @test pe.params.rmean ≈ 1.0  rtol=0.15
+            @test pe.params.rmean ≈ 1.0 rtol=0.15
 
             # Consistency with separatrix formulae.
             @test pe.params.rmean ≈ (pe.params.rsep[1] + pe.params.rsep[2]) / 2
             @test pe.params.amean ≈ (pe.params.rsep[1] - pe.params.rsep[2]) / 2
 
             # Beta and field quantities — all physically positive.
-            @test pe.params.bt0   > 0
-            @test pe.params.crnt  > 0
+            @test pe.params.bt0 > 0
+            @test pe.params.crnt > 0
             @test pe.params.bwall > 0
             @test pe.params.betat > 0
             @test pe.params.betan > 0
diff --git a/test/runtests_eulerlagrange.jl b/test/runtests_eulerlagrange.jl
index 6547352e6..6794ec296 100644
--- a/test/runtests_eulerlagrange.jl
+++ b/test/runtests_eulerlagrange.jl
@@ -494,7 +494,7 @@ end
         # materialize after the Gaussian fixups and free-boundary normalization rather than
         # transforming stored derivatives alongside u_store.
         npert = intr.numpert_total
-        T = Matrix{ComplexF64}(I, npert, npert) .+ 0.25 .* ComplexF64.(reshape(sin.(1:npert^2), npert, npert))
+        T = Matrix{ComplexF64}(I, npert, npert) .+ 0.25 .* ComplexF64.(reshape(sin.(1:(npert^2)), npert, npert))
         odet_t = deepcopy(odet_pristine)
         for istep in 1:odet_t.step
             odet_t.u_store[:, :, 1, istep] = odet_t.u_store[:, :, 1, istep] * T
diff --git a/test/runtests_imas.jl b/test/runtests_imas.jl
index 2d82d5b0e..f261cc45a 100644
--- a/test/runtests_imas.jl
+++ b/test/runtests_imas.jl
@@ -20,31 +20,31 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
 
         # COCOS 11: ψ_IMAS = 2π × ψ_internal
         psi_axis_int = 0.0
-        psi_bnd_int  = 1.5   # Wb/rad
+        psi_bnd_int = 1.5   # Wb/rad
         cf = cocos == 11 ? 2π : 1.0
 
-        eqt.global_quantities.psi_axis     = psi_axis_int * cf
-        eqt.global_quantities.psi_boundary = psi_bnd_int  * cf
+        eqt.global_quantities.psi_axis = psi_axis_int * cf
+        eqt.global_quantities.psi_boundary = psi_bnd_int * cf
 
         nw = 64
         psi_1d = collect(LinRange(psi_axis_int, psi_bnd_int, nw))
-        eqt.profiles_1d.psi      = psi_1d .* cf
-        eqt.profiles_1d.f        = fill(5.0, nw)
+        eqt.profiles_1d.psi = psi_1d .* cf
+        eqt.profiles_1d.f = fill(5.0, nw)
         eqt.profiles_1d.pressure = collect(LinRange(1e4, 0.0, nw))
-        eqt.profiles_1d.q        = collect(LinRange(1.0, 3.0, nw))
+        eqt.profiles_1d.q = collect(LinRange(1.0, 3.0, nw))
 
         # Minimal 2D ψ(R,Z) — rough circular flux surfaces
         nR, nZ = 32, 40
         R_grid = collect(LinRange(1.0, 2.5, nR))
         Z_grid = collect(LinRange(-0.8, 0.8, nZ))
-        Rmag   = 1.75
+        Rmag = 1.75
         psi_rz = [min((R - Rmag)^2 / 0.6 + Z^2 / 0.7, psi_bnd_int * 1.4) for R in R_grid, Z in Z_grid]
 
         resize!(eqt.profiles_2d, 1; wipe=true)
-        prof2d              = eqt.profiles_2d[1]
-        prof2d.grid.dim1    = R_grid
-        prof2d.grid.dim2    = Z_grid
-        prof2d.psi          = psi_rz .* cf
+        prof2d = eqt.profiles_2d[1]
+        prof2d.grid.dim1 = R_grid
+        prof2d.grid.dim2 = Z_grid
+        prof2d.psi = psi_rz .* cf
 
         return dd, psi_bnd_int
     end
@@ -58,8 +58,8 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
 
         # psio should equal |psi_boundary - psi_axis| in internal (COCOS 2) units
         @test isapprox(result.psio, psi_bnd_int; rtol=1e-6)
-        @test result.rmin ≈ 1.0  atol=1e-9
-        @test result.rmax ≈ 2.5  atol=1e-9
+        @test result.rmin ≈ 1.0 atol=1e-9
+        @test result.rmax ≈ 2.5 atol=1e-9
     end
 
     # Test 2: read_imas — COCOS 2 input requires no conversion
@@ -121,7 +121,7 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
 
         GeneralizedPerturbedEquilibrium.write_imas(dd, mock_result)
 
-        @test dd.mhd_linear.code.name  == "GPEC"
+        @test dd.mhd_linear.code.name == "GPEC"
         @test dd.mhd_linear.ideal_flag == 1
         @test length(dd.mhd_linear.time_slice) == 1
 
@@ -142,7 +142,7 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
         # et sorted ascending (least stable globally first).
         # n=1 (j=0) has eigenvalues: real=0.3 (idx 1) and real=0.6 (idx 3)
         # n=2 (j=1) has eigenvalues: real=0.5 (idx 2) and real=0.7 (idx 4)
-        mock_et    = [0.3+0im, 0.5+0im, 0.6+0im, 0.7+0im]
+        mock_et = [0.3+0im, 0.5+0im, 0.6+0im, 0.7+0im]
         mock_n_idx = [0, 1, 0, 1]
         mock_result = (
             ffs = (integrator=:forward, free_boundary=(et=mock_et, n_tor_idx=mock_n_idx),
@@ -190,9 +190,9 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
         )
         GeneralizedPerturbedEquilibrium.write_imas(dd_multi, result_multi)
 
-        ts_single  = dd_single.mhd_linear.time_slice[1]
+        ts_single = dd_single.mhd_linear.time_slice[1]
         ts_single2 = dd_single2.mhd_linear.time_slice[1]
-        ts_multi   = dd_multi.mhd_linear.time_slice[1]
+        ts_multi = dd_multi.mhd_linear.time_slice[1]
 
         # n=1 energy from combined run must match the standalone n=1 run
         @test ts_multi.toroidal_mode[1].energy_perturbed == ts_single.toroidal_mode[1].energy_perturbed
diff --git a/test/runtests_kinetic.jl b/test/runtests_kinetic.jl
index 29955c2c7..7f1ac8fcf 100644
--- a/test/runtests_kinetic.jl
+++ b/test/runtests_kinetic.jl
@@ -26,7 +26,7 @@
         @testset "endpoint modes" begin
             pts_lower, _ = KF.powspace(0.0, 1.0, 2, 50, "lower")
             pts_upper, _ = KF.powspace(0.0, 1.0, 2, 50, "upper")
-            pts_both, _  = KF.powspace(0.0, 1.0, 2, 50, "both")
+            pts_both, _ = KF.powspace(0.0, 1.0, 2, 50, "both")
 
             # All modes should span the full range
             for pts in [pts_lower, pts_upper, pts_both]
@@ -194,11 +194,11 @@
             # independent reference for the u-substitution + pole-extraction result.
             wn, wt, we, wd, wb, nuk, leff, n = 0.5, 0.8, -2.0, 0.5, 1.0, 0.3, 1.0, 1
             p = KF.EnergyParams(wn, wt, we, wd, wb, nuk, leff, n,
-                                "harmonic", "maxwellian", 1.0, 0.0, false)
+                "harmonic", "maxwellian", 1.0, 0.0, false)
             x_res = KF.find_resonance_energies(leff, wb, n, we, wd)
             @test length(x_res) == 1   # this case has exactly one resonance
             reference, _ = KF.quadgk(x -> KF.energy_integrand_scalar(x, p),
-                                     0.0, x_res[1], Inf; rtol=1e-12, atol=1e-14)
+                0.0, x_res[1], Inf; rtol=1e-12, atol=1e-14)
             result = KF.integrate_energy(
                 wn, wt, we, wd, wb, nuk, 0, leff, n, 0.5, 0.5, "fgar";
                 nutype="harmonic", f0type="maxwellian", atol=1e-12, rtol=1e-10
@@ -317,7 +317,7 @@
         @test all(isfinite, vals)
         # Element-wise match against the scalar form documented in the docstring.
         p = KF.EnergyParams(0.5, 0.8, -2.0, 0.5, 1.0, 0.3, 1.0, 1,
-                            "harmonic", "maxwellian", 1.0, 0.0, false)
+            "harmonic", "maxwellian", 1.0, 0.0, false)
         @test vals ≈ [KF.energy_integrand_scalar(x, p) for x in x_grid]
     end
 
diff --git a/test/runtests_parallel_integration.jl b/test/runtests_parallel_integration.jl
index 7e7737e06..616cc28d6 100644
--- a/test/runtests_parallel_integration.jl
+++ b/test/runtests_parallel_integration.jl
@@ -114,9 +114,12 @@ using TOML
         ctrl = GeneralizedPerturbedEquilibrium.ForceFreeStates.ForceFreeStatesControl(;
             (Symbol(k) => v for (k, v) in inputs["ForceFreeStates"])...)
         eq_config = GeneralizedPerturbedEquilibrium.Equilibrium.EquilibriumConfig(inputs["Equilibrium"], ex)
-        equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(eq_config, haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing)
-        intr.nlow = ctrl.nn_low;
-        intr.nhigh = ctrl.nn_high;
+        equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(
+            eq_config,
+            haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing
+        )
+        intr.nlow = ctrl.nn_low
+        intr.nhigh = ctrl.nn_high
         intr.npert = 1
         GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_lim!(intr, ctrl, equil)
         GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_find!(intr, equil)
@@ -201,9 +204,12 @@ using TOML
         ctrl = GeneralizedPerturbedEquilibrium.ForceFreeStates.ForceFreeStatesControl(;
             (Symbol(k) => v for (k, v) in inputs["ForceFreeStates"])...)
         eq_config = GeneralizedPerturbedEquilibrium.Equilibrium.EquilibriumConfig(inputs["Equilibrium"], ex)
-        equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(eq_config, haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing)
-        intr.nlow = ctrl.nn_low;
-        intr.nhigh = ctrl.nn_high;
+        equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(
+            eq_config,
+            haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing
+        )
+        intr.nlow = ctrl.nn_low
+        intr.nhigh = ctrl.nn_high
         intr.npert = 1
         GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_lim!(intr, ctrl, equil)
         GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_find!(intr, equil)
@@ -262,11 +268,14 @@ using TOML
             ctrl = GeneralizedPerturbedEquilibrium.ForceFreeStates.ForceFreeStatesControl(;
                 (Symbol(k) => v for (k, v) in inputs["ForceFreeStates"])...)
             eq_config = GeneralizedPerturbedEquilibrium.Equilibrium.EquilibriumConfig(inputs["Equilibrium"], ex)
-            equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(eq_config, haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing)
+            equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(
+                eq_config,
+                haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing
+            )
             intr.wall_settings = GeneralizedPerturbedEquilibrium.Vacuum.WallShapeSettings(;
                 (Symbol(k) => v for (k, v) in inputs["Wall"])...)
-            intr.nlow = ctrl.nn_low;
-            intr.nhigh = ctrl.nn_high;
+            intr.nlow = ctrl.nn_low
+            intr.nhigh = ctrl.nn_high
             intr.npert = 1
             GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_lim!(intr, ctrl, equil)
             GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_find!(intr, equil)
@@ -311,7 +320,10 @@ using TOML
             ctrl = GeneralizedPerturbedEquilibrium.ForceFreeStates.ForceFreeStatesControl(;
                 (Symbol(k) => v for (k, v) in inputs["ForceFreeStates"])...)
             eq_config = GeneralizedPerturbedEquilibrium.Equilibrium.EquilibriumConfig(inputs["Equilibrium"], ex)
-            equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(eq_config, haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing)
+            equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(
+                eq_config,
+                haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing
+            )
             # Apply the two-pass auto grid exactly as the main driver does (the example ships
             # grid_type="auto", mpsi=0): measured-curvature refinement with rational surfaces
             # pinned as mandatory knots, re-formed from the captured ingest. The pinned values
@@ -324,8 +336,8 @@ using TOML
             end
             intr.wall_settings = GeneralizedPerturbedEquilibrium.Vacuum.WallShapeSettings(;
                 (Symbol(k) => v for (k, v) in inputs["Wall"])...)
-            intr.nlow = ctrl.nn_low;
-            intr.nhigh = ctrl.nn_high;
+            intr.nlow = ctrl.nn_low
+            intr.nhigh = ctrl.nn_high
             intr.npert = 1
             GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_lim!(intr, ctrl, equil)
             GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_find!(intr, equil)
@@ -372,9 +384,12 @@ using TOML
         ctrl = GeneralizedPerturbedEquilibrium.ForceFreeStates.ForceFreeStatesControl(;
             (Symbol(k) => v for (k, v) in inputs["ForceFreeStates"])...)
         eq_config = GeneralizedPerturbedEquilibrium.Equilibrium.EquilibriumConfig(inputs["Equilibrium"], ex)
-        equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(eq_config, haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing)
-        intr.nlow = ctrl.nn_low;
-        intr.nhigh = ctrl.nn_high;
+        equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(
+            eq_config,
+            haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing
+        )
+        intr.nlow = ctrl.nn_low
+        intr.nhigh = ctrl.nn_high
         intr.npert = 1
         GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_lim!(intr, ctrl, equil)
         GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_find!(intr, equil)
@@ -423,11 +438,14 @@ using TOML
             ctrl = GeneralizedPerturbedEquilibrium.ForceFreeStates.ForceFreeStatesControl(;
                 (Symbol(k) => v for (k, v) in inputs["ForceFreeStates"])...)
             eq_config = GeneralizedPerturbedEquilibrium.Equilibrium.EquilibriumConfig(inputs["Equilibrium"], example_dir)
-            equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(eq_config, haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing)
+            equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(
+                eq_config,
+                haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing
+            )
             intr.wall_settings = GeneralizedPerturbedEquilibrium.Vacuum.WallShapeSettings(;
                 (Symbol(k) => v for (k, v) in inputs["Wall"])...)
-            intr.nlow = ctrl.nn_low;
-            intr.nhigh = ctrl.nn_high;
+            intr.nlow = ctrl.nn_low
+            intr.nhigh = ctrl.nn_high
             intr.npert = 1
             GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_lim!(intr, ctrl, equil)
             GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_find!(intr, equil)
@@ -476,7 +494,10 @@ using TOML
         ctrl = GeneralizedPerturbedEquilibrium.ForceFreeStates.ForceFreeStatesControl(;
             (Symbol(k) => v for (k, v) in inputs["ForceFreeStates"])...)
         eq_config = GeneralizedPerturbedEquilibrium.Equilibrium.EquilibriumConfig(inputs["Equilibrium"], ex)
-        equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(eq_config, haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing)
+        equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(
+            eq_config,
+            haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing
+        )
         # Apply the two-pass auto grid (measured-curvature refinement, rational surfaces pinned
         # as mandatory knots) exactly as the main driver does (see the FM testset above); the
         # pinned values below are for this grid, the production default.
@@ -488,8 +509,8 @@ using TOML
         end
         intr.wall_settings = GeneralizedPerturbedEquilibrium.Vacuum.WallShapeSettings(;
             (Symbol(k) => v for (k, v) in inputs["Wall"])...)
-        intr.nlow = ctrl.nn_low;
-        intr.nhigh = ctrl.nn_high;
+        intr.nlow = ctrl.nn_low
+        intr.nhigh = ctrl.nn_high
         intr.npert = 1
         GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_lim!(intr, ctrl, equil)
         GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_find!(intr, equil)
diff --git a/test/runtests_rerun_from_h5.jl b/test/runtests_rerun_from_h5.jl
index dc242426f..db10e3c9d 100644
--- a/test/runtests_rerun_from_h5.jl
+++ b/test/runtests_rerun_from_h5.jl
@@ -102,7 +102,11 @@ end
                 inputs, = GeneralizedPerturbedEquilibrium.build_inputs_from_h5([source_h5, "--output-dir", out_dir, "--override", "ForceFreeStates.use_parallel=true"])
                 @test inputs["ForceFreeStates"]["use_parallel"] == true
 
-                @test_logs (:warn,) GeneralizedPerturbedEquilibrium._drop_deprecated_keys!(inputs["ForceFreeStates"], GeneralizedPerturbedEquilibrium._DEPRECATED_FFS_KEYS, "ForceFreeStates")
+                @test_logs (:warn,) GeneralizedPerturbedEquilibrium._drop_deprecated_keys!(
+                    inputs["ForceFreeStates"],
+                    GeneralizedPerturbedEquilibrium._DEPRECATED_FFS_KEYS,
+                    "ForceFreeStates"
+                )
                 @test !haskey(inputs["ForceFreeStates"], "use_parallel")
 
                 # With the key gone the control struct builds again, on the default integrator.
diff --git a/test/runtests_riccati.jl b/test/runtests_riccati.jl
index afd084056..69edfb972 100644
--- a/test/runtests_riccati.jl
+++ b/test/runtests_riccati.jl
@@ -9,8 +9,8 @@ function make_solovev_intr(inputs, ctrl, equil, ex)
     intr = FFS.ForceFreeStatesInternal(; dir_path=ex)
     intr.wall_settings = GeneralizedPerturbedEquilibrium.Vacuum.WallShapeSettings(;
         (Symbol(k) => v for (k, v) in inputs["Wall"])...)
-    intr.nlow = ctrl.nn_low;
-    intr.nhigh = ctrl.nn_high;
+    intr.nlow = ctrl.nn_low
+    intr.nhigh = ctrl.nn_high
     intr.npert = 1
     FFS.sing_lim!(intr, ctrl, equil)
     FFS.sing_find!(intr, equil)
diff --git a/test/runtests_sing.jl b/test/runtests_sing.jl
index 83b85a765..18ce06c59 100644
--- a/test/runtests_sing.jl
+++ b/test/runtests_sing.jl
@@ -41,14 +41,14 @@ using FastInterpolations: cubic_interp, CubicFit, LinearBinarySearch, Series, Ex
 
     function read_solutions_3d(fname::String)
         lines = readlines(fname)
-        blocks = Vector{Vector{Vector{Float64}}}();
+        blocks = Vector{Vector{Vector{Float64}}}()
         current = Vector{Vector{Float64}}()
         for s in lines
-            t = strip(s);
+            t = strip(s)
             isempty(t) && continue
             if occursin("Solution index", t)
                 if !isempty(current)
-                    push!(blocks, current);
+                    push!(blocks, current)
                     current = Vector{Vector{Float64}}()
                 end
                 continue
@@ -62,11 +62,11 @@ using FastInterpolations: cubic_interp, CubicFit, LinearBinarySearch, Series, Ex
         if !isempty(current)
             push!(blocks, current)
         end
-        mpert = length(blocks[1]);
+        mpert = length(blocks[1])
         nsol = length(blocks)
         result = Array{ComplexF64}(undef, mpert, nsol, 2)
         for (j, block) in enumerate(blocks), (i, row) in enumerate(block)
-            result[i, j, 1] = complex(row[2], row[3]);
+            result[i, j, 1] = complex(row[2], row[3])
             result[i, j, 2] = complex(row[4], row[5])
         end
         return result
@@ -105,7 +105,7 @@ using FastInterpolations: cubic_interp, CubicFit, LinearBinarySearch, Series, Ex
         odet = GeneralizedPerturbedEquilibrium.ForceFreeStates.OdeState(; numpert_total=intr.numpert_total,
             numsteps_init=ctrl.numsteps_init, numunorms_init=ctrl.numunorms_init, msing=intr.msing)
 
-        psifac_dummy = collect(range(0, 1, 10));
+        psifac_dummy = collect(range(0, 1, 10))
         points = length(psifac_dummy)
         amat = read_complex_fortran(joinpath(@__DIR__, "test_data/sing_der_testing/mat_dat/amat.dat"))
         amats = copyForSplines(amat, psifac_dummy)
@@ -115,7 +115,7 @@ using FastInterpolations: cubic_interp, CubicFit, LinearBinarySearch, Series, Ex
         cmats = copyForSplines(cmat, psifac_dummy)
 
         fmat = read_complex_fortran(joinpath(@__DIR__, "test_data/sing_der_testing/mat_dat/fmat.dat"))
-        fmat .= cholesky(Hermitian(fmat)).L;
+        fmat .= cholesky(Hermitian(fmat)).L
         fmats = copyForSplines(fmat, psifac_dummy)
         kmat = read_complex_fortran(joinpath(@__DIR__, "test_data/sing_der_testing/mat_dat/kmat.dat"))
         kmats = copyForSplines(kmat, psifac_dummy)
@@ -125,7 +125,7 @@ using FastInterpolations: cubic_interp, CubicFit, LinearBinarySearch, Series, Ex
         umat_p1 = read_complex_fortran(joinpath(@__DIR__, "test_data/sing_der_testing/mat_dat/umat_p1.dat"))
         umat_p2 = read_complex_fortran(joinpath(@__DIR__, "test_data/sing_der_testing/mat_dat/umat_p2.dat"))
         odet.psifac = extract_value(joinpath(@__DIR__, "test_data/sing_der_testing/mat_dat/sing_der_output_normal.dat"), "psifac")
-        odet.u[:, :, 1] .= umat_p1;
+        odet.u[:, :, 1] .= umat_p1
         odet.u[:, :, 2] .= umat_p2
 
         ffit = GeneralizedPerturbedEquilibrium.ForceFreeStates.FourFitVars(; mpert=intr.numpert_total, numpert_total=intr.numpert_total)
diff --git a/test/runtests_tj_analytic.jl b/test/runtests_tj_analytic.jl
index 5bbcb25d2..b36702001 100644
--- a/test/runtests_tj_analytic.jl
+++ b/test/runtests_tj_analytic.jl
@@ -19,12 +19,12 @@ using GeneralizedPerturbedEquilibrium.Equilibrium: TJAnalyticConfig, Equilibrium
 @testset "TJ-analytic model" begin
     @testset "tj_analytic_run (inverse) — basic invariants at ε = 0.25" begin
         # Keep ε, mpsi, mtheta modest so the whole block runs in ~1 s.
-        tj = TJAnalyticConfig(lar_r0 = 1.0 / 0.25, lar_a = 1.0,
-                              qc = 1.5, qa = 3.6, pc = 0.001, mu = 2.0, B0 = 12.0,
-                              ma = 64, mtau = 64)
-        eq = EquilibriumConfig(eq_type = "tj_analytic",
-                               psilow = 0.01, psihigh = 0.995,
-                               mpsi = 64, mtheta = 128, etol = 1e-7)
+        tj = TJAnalyticConfig(lar_r0=1.0 / 0.25, lar_a=1.0,
+            qc=1.5, qa=3.6, pc=0.001, mu=2.0, B0=12.0,
+            ma=64, mtau=64)
+        eq = EquilibriumConfig(eq_type="tj_analytic",
+            psilow=0.01, psihigh=0.995,
+            mpsi=64, mtheta=128, etol=1e-7)
         pe = setup_equilibrium(eq, tj)
 
         # psio is a physical-scale ψ; regressions in the a→a² normalization
@@ -33,12 +33,12 @@ using GeneralizedPerturbedEquilibrium.Equilibrium: TJAnalyticConfig, Equilibrium
         @test isfinite(pe.psio)
 
         # ν root-find pins q₂(x=1) = qa; qmax at psihigh=0.995 lands ~0.04 below.
-        @test pe.params.q0 ≈ 1.5  rtol = 1e-3
+        @test pe.params.q0 ≈ 1.5 rtol = 1e-3
         @test pe.params.qmax > 3.5
         @test pe.params.qmax < 3.7
 
         # Magnetic axis at R = R0, Z = 0 for the shifted-circle benchmark.
-        @test pe.ro ≈ 4.0  rtol = 1e-3
+        @test pe.ro ≈ 4.0 rtol = 1e-3
         @test abs(pe.zo) < 1e-8
     end
 
@@ -46,12 +46,12 @@ using GeneralizedPerturbedEquilibrium.Equilibrium: TJAnalyticConfig, Equilibrium
         # ε = 0.60 sits on the stable side of the ideal-external-kink pole at
         # ε ≈ 0.665 for this (qc, qa, pc, μ) combination.  Pole-approach shape
         # (δW_t small, Δ' > 0 and growing) is the Option B success criterion.
-        tj = TJAnalyticConfig(lar_r0 = 1.0 / 0.60, lar_a = 1.0,
-                              qc = 1.5, qa = 3.6, pc = 0.001, mu = 2.0, B0 = 12.0,
-                              ma = 64, mtau = 64)
-        eq = EquilibriumConfig(eq_type = "tj_analytic_direct",
-                               psilow = 0.01, psihigh = 0.995,
-                               mpsi = 64, mtheta = 128, etol = 1e-7)
+        tj = TJAnalyticConfig(lar_r0=1.0 / 0.60, lar_a=1.0,
+            qc=1.5, qa=3.6, pc=0.001, mu=2.0, B0=12.0,
+            ma=64, mtau=64)
+        eq = EquilibriumConfig(eq_type="tj_analytic_direct",
+            psilow=0.01, psihigh=0.995,
+            mpsi=64, mtheta=128, etol=1e-7)
         pe = setup_equilibrium(eq, tj)
 
         @test pe.psio > 0
@@ -59,13 +59,13 @@ using GeneralizedPerturbedEquilibrium.Equilibrium: TJAnalyticConfig, Equilibrium
 
         # Direct-GS line integration at ε=0.60 gives qmax between 3.8 and 4.0.
         # If the εa³·L shape terms in f_R / f_Z regress, qmax jumps above 5.
-        @test pe.params.q0  ≈ 1.5  rtol = 1e-2
+        @test pe.params.q0 ≈ 1.5 rtol = 1e-2
         @test pe.params.qmax > 3.75
         @test pe.params.qmax < 4.1
 
         # Magnetic axis at R = R0.  Shafranov shift of the O-point itself is
         # zero by construction (H₁(0) = 0).
-        @test pe.ro ≈ (1.0 / 0.60)  rtol = 1e-3
+        @test pe.ro ≈ (1.0 / 0.60) rtol = 1e-3
         @test abs(pe.zo) < 1e-4
     end
 
@@ -73,18 +73,18 @@ using GeneralizedPerturbedEquilibrium.Equilibrium: TJAnalyticConfig, Equilibrium
         # At the magnetic axis ψ_in should equal psio (axis convention: ψ
         # positive at axis, zero at LCFS); sampling well outside the LCFS should
         # give a negative value (the vacuum branch of psi_rz).
-        tj = TJAnalyticConfig(lar_r0 = 1.0 / 0.25, lar_a = 1.0,
-                              qc = 1.5, qa = 3.6, pc = 0.001, mu = 2.0, B0 = 12.0,
-                              ma = 64, mtau = 64)
-        eq = EquilibriumConfig(eq_type = "tj_analytic_direct",
-                               psilow = 0.01, psihigh = 0.995,
-                               mpsi = 64, mtheta = 128, etol = 1e-7)
+        tj = TJAnalyticConfig(lar_r0=1.0 / 0.25, lar_a=1.0,
+            qc=1.5, qa=3.6, pc=0.001, mu=2.0, B0=12.0,
+            ma=64, mtau=64)
+        eq = EquilibriumConfig(eq_type="tj_analytic_direct",
+            psilow=0.01, psihigh=0.995,
+            mpsi=64, mtheta=128, etol=1e-7)
         inp = tj_analytic_run_direct(eq, tj)
 
         # ψ at the geometric axis matches psio (see DirectRunInput docstring for
         # the sign convention: psi_in is positive at axis, zero at LCFS).
         R0 = 1.0 / 0.25
-        @test inp.psi_in((R0, 0.0)) ≈ inp.psio  rtol = 1e-3
+        @test inp.psi_in((R0, 0.0)) ≈ inp.psio rtol = 1e-3
 
         # Well outside the LCFS → negative ψ_in (vacuum branch of the grid).
         R_out = R0 + 1.05   # plasma LCFS is at R ≈ R0 + 0.94

From 46c648dba59e537d0c9e2d4280e5cbc7c09cfa8b Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Mon, 17 Aug 2026 11:54:48 -0400
Subject: [PATCH 4/9] WIP - Bcrit runs through, need to add true Q0, P, etc.
 and validate

---
 .../DIIID-like_SLAYER_example/slayer_ex.ipynb | 60 ++++++++++++++++++-
 .../CriticalResonantField/bcrit_dev.ipynb     | 37 ++++++++++--
 .../CriticalResonantField/bcrit_dev_ggj.ipynb | 43 ++++++++++++-
 src/Tearing/Runner/Runner.jl                  |  2 +-
 src/Tearing/Runner/run_slayer.jl              | 14 +++--
 5 files changed, 145 insertions(+), 11 deletions(-)

diff --git a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
index 0fb8f9079..72901743a 100644
--- a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
+++ b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
@@ -30,7 +30,8 @@
    "source": [
     "using GeneralizedPerturbedEquilibrium\n",
     "using Plots\n",
-    "using GeneralizedPerturbedEquilibrium: Analysis"
+    "using GeneralizedPerturbedEquilibrium: Analysis\n",
+    "using Printf"
    ]
   },
   {
@@ -49,6 +50,63 @@
    "id": "4",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "using HDF5\n",
+    "\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    println(\"Top-level keys:\")\n",
+    "    println(collect(keys(file)))\n",
+    "\n",
+    "    if haskey(file, \"Tearing\")\n",
+    "        println(\"\\nKeys in Tearing:\")\n",
+    "        println(collect(keys(file[\"Tearing\"])))\n",
+    "\n",
+    "        if haskey(file[\"Tearing\"], \"CriticalResonantField\")\n",
+    "            println(\"\\nKeys in Tearing/CriticalResonantField:\")\n",
+    "            println(collect(keys(file[\"Tearing\"][\"CriticalResonantField\"])))\n",
+    "        end\n",
+    "    else\n",
+    "        println(\"No Tearing group found.\")\n",
+    "    end\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Print the contents of the Tearing/CriticalResonantField group\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    if haskey(file, \"Tearing\") && haskey(file[\"Tearing\"], \"CriticalResonantField\")\n",
+    "        println(\"\\nContents of Tearing/CriticalResonantField:\")\n",
+    "        # Iterate over the keys in the Tearing/CriticalResonantField group and print their names and types\n",
+    "        for key in keys(file[\"Tearing\"][\"CriticalResonantField\"])\n",
+    "            dataset = file[\"Tearing\"][\"CriticalResonantField\"][key]\n",
+    "            println(\"Key: $key, Type: $(typeof(dataset))\")\n",
+    "            # print data \n",
+    "            if isa(dataset, HDF5.Dataset)\n",
+    "                data = read(dataset)\n",
+    "                println(\"Data: $data\")\n",
+    "            end\n",
+    "        end\n",
+    "    else\n",
+    "        println(\"No Tearing/CriticalResonantField group found.\")\n",
+    "    end\n",
+    "    # Print bcrit data as .2e (in one line)\n",
+    "    println(\"\\nBcrit data: $(join([@sprintf(\"%.2e\", x) for x in read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"])], \" \"))\")\n",
+    "end\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "p_eq = Analysis.Equilibrium.plot_equilibrium_summary(h5path)\n",
     "p_ffs = Analysis.ForceFreeStates.plot_ffs_summary(h5path)\n",
diff --git a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
index 4af00e1f0..9269f6ab4 100644
--- a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
+++ b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
@@ -177,6 +177,35 @@
    "id": "5",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "\n",
+    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\n",
+    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"jxb\")\n",
+    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
+    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "xlabel!(p3, \"Q\")\n",
+    "ylabel!(p3, \"balance\")\n",
+    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "\n",
+    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "Qpk = Qs_positive[argmax(bal_positive)]\n",
     "j   = findfirst(isequal(Qpk), Qs)\n",
@@ -196,7 +225,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6",
+   "id": "7",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -239,7 +268,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7",
+   "id": "8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -352,7 +381,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "8",
+   "id": "9",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -360,7 +389,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9",
+   "id": "10",
    "metadata": {},
    "outputs": [],
    "source": []
diff --git a/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb b/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
index a4d02d76f..ca4f3df48 100644
--- a/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
+++ b/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
@@ -106,7 +106,7 @@
     "sval_ggj = 0.5\n",
     "\n",
     "tb = TorqueBalance(\n",
-    "    GeneralizedPerturbedEquilibrium.InnerLayer.GGJModel(; solver=:ray),\n",
+    "    GeneralizedPerturbedEquilibrium.InnerLayer.GGJModel(; solver=:galerkin),\n",
     "    p_ggj,\n",
     "    0.5,\n",
     "    1.0,\n",
@@ -204,6 +204,47 @@
    "id": "10",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "println(p.lu^(1/3))\n",
+    "println(p.tauk)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing/p.lu^(1 / 3) for q in Qs]\n",
+    "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
+    "\n",
+    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\n",
+    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"jxb\")\n",
+    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(vals), label=\"Re(balance)\", lw=2)\n",
+    "plot!(p3, Qs, imag.(vals), label=\"Im(balance)\", lw=2)\n",
+    "xlabel!(p3, \"Q\")\n",
+    "ylabel!(p3, \"balance\")\n",
+    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "\n",
+    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "12",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
     "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
diff --git a/src/Tearing/Runner/Runner.jl b/src/Tearing/Runner/Runner.jl
index df3293b2f..6f11208a7 100644
--- a/src/Tearing/Runner/Runner.jl
+++ b/src/Tearing/Runner/Runner.jl
@@ -30,7 +30,6 @@ using HDF5
 using FastInterpolations: cubic_interp
 using ..Utilities
 using ..Utilities: KineticProfiles
-using ...Equilibrium: read_kinetic_file, KineticProfileData
 using ..InnerLayer
 using ..InnerLayer:
     InnerLayerParameters, InnerLayerResponse, solve_inner,
@@ -47,6 +46,7 @@ using ..Dispersion: SurfaceCoupling, surface_coupling,
     AMRResult, amr_scan,
     MultiBoxAMRResult, multi_box_amr_scan, as_amr_result,
     GrowthRateResult, find_growth_rates
+using ..CriticalResonantField: TorqueBalance, torque_balance_scan
 
 include("Control.jl")
 include("Result.jl")
diff --git a/src/Tearing/Runner/run_slayer.jl b/src/Tearing/Runner/run_slayer.jl
index 3dca41bbc..5c92691f5 100644
--- a/src/Tearing/Runner/run_slayer.jl
+++ b/src/Tearing/Runner/run_slayer.jl
@@ -469,12 +469,18 @@ end
     and the corresponding critical resoannt field values for each rational surface.
 """
 
-function run_critical_resonant_field(equil, intr, ctrl; dir_path="./")
+function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_result=nothing)
     ctrl.enabled || return empty_critical_resonant_field_result()
 
-    # Use the same per-surface params already built for SLAYER
-    profiles = Equilibrium.load_kinetic_profiles(joinpath(dir_path, ctrl.profile_file))
-    params = build_slayer_inputs(equil, intr.sing, profiles)
+    params = if slayer_result !== nothing && slayer_result.enabled && !isempty(slayer_result.params)
+        slayer_result.params
+    else
+        profiles = load_kinetic_profiles(joinpath(dir_path, ctrl.profile_file))
+        build_slayer_inputs(equil, intr.sing, profiles)
+    end
+
+    all(p -> p isa SLAYERParameters, params) ||
+        throw(ArgumentError("CriticalResonantField requires SLAYERParameters; run SLAYER first or provide compatible params."))
 
     surface_index = Int[]
     Qpeak_vec = Float64[]

From 522312261253a0a8d0c81ca6d8e80938cb64bb49 Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Tue, 18 Aug 2026 16:07:46 -0400
Subject: [PATCH 5/9] WIP - Rebasing with develop

---
 .../DIIID-like_SLAYER_example/slayer_ex.ipynb | 102 ++-
 .../CriticalResonantField/CRF Dev/b_crit.jls  | Bin 0 -> 74 bytes
 .../CRF Dev/bcrit_dev.ipynb                   | 724 ++++++++++++++++++
 .../{ => CRF Dev}/bcrit_dev_ggj.ipynb         |  23 +-
 .../CRF Dev/bcrit_numerics.ipynb              | 122 +++
 .../{ => CRF Dev}/gslayer.txt                 |   0
 .../CRF Dev/pole_testing.ipynb                | 234 ++++++
 .../CRF Dev/sample_number.jls                 | Bin 0 -> 68 bytes
 .../CriticalResonantField/TorqueBalance.jl    |   4 +-
 .../CriticalResonantField/bcrit_dev.ipynb     | 407 ----------
 src/Tearing/Runner/HDF5Output.jl              |   7 +
 src/Tearing/Runner/run_slayer.jl              |  42 +-
 12 files changed, 1211 insertions(+), 454 deletions(-)
 create mode 100644 src/Tearing/CriticalResonantField/CRF Dev/b_crit.jls
 create mode 100644 src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb
 rename src/Tearing/CriticalResonantField/{ => CRF Dev}/bcrit_dev_ggj.ipynb (91%)
 create mode 100644 src/Tearing/CriticalResonantField/CRF Dev/bcrit_numerics.ipynb
 rename src/Tearing/CriticalResonantField/{ => CRF Dev}/gslayer.txt (100%)
 create mode 100644 src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb
 create mode 100644 src/Tearing/CriticalResonantField/CRF Dev/sample_number.jls
 delete mode 100644 src/Tearing/CriticalResonantField/bcrit_dev.ipynb

diff --git a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
index 72901743a..709891273 100644
--- a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
+++ b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
@@ -8,36 +8,26 @@
    "outputs": [],
    "source": [
     "using Pkg\n",
-    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Base.active_project()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
+    "Base.active_project()\n",
+    "\n",
     "using GeneralizedPerturbedEquilibrium\n",
-    "using Plots\n",
     "using GeneralizedPerturbedEquilibrium: Analysis\n",
-    "using Printf"
+    "using Printf\n",
+    "\n",
+    "using Plots\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    margin=12Plots.mm,\n",
+    "    size=(800, 500),\n",
+    "    dpi=150\n",
+    ")"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "3",
+   "id": "1",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,7 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4",
+   "id": "2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -74,7 +64,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5",
+   "id": "3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -101,12 +91,74 @@
     "\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "println(keys(h5open(h5path, \"r\")[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_1\"]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "function bcrit_diag_plots(Δs, Qs, bal,name)\n",
+    "\n",
+    "    p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "    #plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "    xlabel!(p1, \"Q\")\n",
+    "    ylabel!(p1, \"Δ\")\n",
+    "    title!(p1, \"Inner-layer Δ(Q) - $name\")\n",
+    "\n",
+    "    p2 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
+    "    plot!(p2, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "    xlabel!(p2, \"Q\")\n",
+    "    ylabel!(p2, \"balance\")\n",
+    "    title!(p2, \"2P(Q0-Q)/jxb - $name\")\n",
+    "\n",
+    "    plot(p1, p2, layout=(2,1), size=(800, 1000))\n",
+    "\n",
+    "\n",
+    "end"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "6",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "# Plot bcrit vs q surface\n",
+    "\n",
+    "# print all contents of bcrit /scan /surface 1/\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    bcrit = file[\"Tearing\"][\"CriticalResonantField\"]\n",
+    "\n",
+    "    for i in 1:6\n",
+    "        ss = \"surface_$i\"\n",
+    "\n",
+    "        delta  = read(bcrit[\"Scan\"][ss][\"delta\"])\n",
+    "        Q      = read(bcrit[\"Scan\"][ss][\"Q\"])\n",
+    "        balance = read(bcrit[\"Scan\"][ss][\"balance\"])\n",
+    "\n",
+    "        display(bcrit_diag_plots(delta, Q, balance, \"surface_$i\"))\n",
+    "    end\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "p_eq = Analysis.Equilibrium.plot_equilibrium_summary(h5path)\n",
     "p_ffs = Analysis.ForceFreeStates.plot_ffs_summary(h5path)\n",
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/b_crit.jls b/src/Tearing/CriticalResonantField/CRF Dev/b_crit.jls
new file mode 100644
index 0000000000000000000000000000000000000000..dcd8e2611787cf2ae06b76a1ee64426e4009ac8a
GIT binary patch
literal 74
zcmXr_@{wa<U|<k+d&c)g(D89Ef4DtgVP-T}{No6FzOW;P4Uz(p_IzuOom^-OVw82i
Y+3NvfNF32K2m~>LoNTscITzal0AxrQ1ONa4

literal 0
HcmV?d00001

diff --git a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb
new file mode 100644
index 000000000..528ca4934
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb	
@@ -0,0 +1,724 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
+    "Base.active_project()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using GeneralizedPerturbedEquilibrium: Analysis\n",
+    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
+    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
+    "using GeneralizedPerturbedEquilibrium: Tearing\n",
+    "using ..InnerLayer\n",
+    "using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
+    "    SLAYERModel, SLAYERParameters\n",
+    "\n",
+    "using Plots\n",
+    "using Printf\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    margin=12Plots.mm,\n",
+    "    size=(800, 500),\n",
+    "    dpi=150\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "struct TorqueBalance{M<:InnerLayerModel,P}\n",
+    "    model::M\n",
+    "    params::P\n",
+    "    Q0::Float64\n",
+    "    P::Float64\n",
+    "    lu::Float64\n",
+    "    sval::Float64\n",
+    "end\n",
+    "\n",
+    "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
+    "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
+    "    alpha = 1e-2\n",
+    "    jxb = -imag(1.0 / (Δ+ alpha))\n",
+    "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ\n",
+    "end\n",
+    "\n",
+    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)\n",
+    "    Qs = range(Qmin, Qmax; length=n)\n",
+    "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
+    "    bal = [x[1] for x in torque_out]\n",
+    "    Δs = [x[2] for x in torque_out]\n",
+    "    #bal = [torque_balance_value(tb, q) for q in Qs]\n",
+    "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
+    "\n",
+    "    if !any(positive)\n",
+    "        return Qs, bal, NaN, NaN, 0.0, NaN, NaN, Δs\n",
+    "    end\n",
+    "    i = argmax(bal)\n",
+    "    Qpeak_ind = i\n",
+    "    Qs_positive = Qs[positive]\n",
+    "    bal_positive = bal[positive]\n",
+    "\n",
+    "    i = argmax(bal_positive)\n",
+    "    Qpeak = Qs_positive[i]\n",
+    "    \n",
+    "    maxbal = bal_positive[i]\n",
+    "\n",
+    "    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
+    "    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
+    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
+    "    omega=0.0, omega_e=4, omega_i=-2,\n",
+    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
+    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
+    ")\n",
+    "p2 = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
+    "    ising=p.ising,\n",
+    "    m=p.m, n=p.n,\n",
+    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
+    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
+    "    Q_e=0.818, Q_i=-0.543, iota_e=p.iota_e,\n",
+    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
+    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
+    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
+    "    eta=p.eta, d_beta=p.d_beta,\n",
+    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
+    ")\n",
+    "\n",
+    "p2 = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
+    "    ising=p.ising,\n",
+    "    m=p.m, n=p.n,\n",
+    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
+    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
+    "    Q_e=2, Q_i=3, iota_e=p.iota_e,\n",
+    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
+    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
+    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
+    "    eta=p.eta, d_beta=p.d_beta,\n",
+    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
+    ")\n",
+    "\n",
+    "p = p2\n",
+    "\n",
+    "tb = TorqueBalance(\n",
+    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
+    "    p,\n",
+    "    0.5,\n",
+    "    61.0, #1.0\n",
+    "    p.lu,\n",
+    "    p.sval_r\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Qs = range(-5.0, 5.0, length=200)\n",
+    "\n",
+    "#vals = [torque_balance_value(tb, q) for q in Qs]\n",
+    "\"\"\"\n",
+    "n=2000:\n",
+    "Qpeak = 0.24512256128064033\n",
+    "maxbal = 0.35873684252530247\n",
+    "br_crit = 4.668551985584323e-5\n",
+    "\n",
+    "n=200 (def):\n",
+    "Qpeak = 0.25125628140703515\n",
+    "maxbal = 0.3585219071071706\n",
+    "br_crit = 4.667153206033017e-5\n",
+    "\"\"\"\n",
+    "Qmi = -10\n",
+    "Qma = 10\n",
+    "\n",
+    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qmi, Qmax=Qma, n=10000)\n",
+    "\n",
+    "println(\"Qpeak = \", Qpeak)\n",
+    "println(\"maxbal = \", maximum(bal_positive))\n",
+    "println(\"maxbal = \", maximum(bal))\n",
+    "println(\"br_crit = \", brcrit)\n",
+    "\n",
+    "p1 = plot(Qs, bal, lw=2, label=\"balance\")#,ylim=(-40, 40))\n",
+    "z_inds = findall(i -> bal[i]*bal[i+1] < 0, 1:length(bal)-1)\n",
+    "println(\"zero crossings at Q = \", Qs[z_inds])\n",
+    "for i in z_inds\n",
+    "    vline!([Qs[i]], label=\"0\", linestyle=:dot, color=:gray)\n",
+    "end\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "\n",
+    "\n",
+    "p5 = plot(Qs, bal, lw=2, label=\"balance\",xlim=(Qs[z_inds[1]],Qs[z_inds[2]]))#,ylim=(-40, 40))#, xlim = (-.11,-.09))\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "p2 = plot(Qs, -imag(Δs), lw=2, label=\"Im(Δ)\",ylim=(-5,2))#,xlim=(-.11,-.09))\n",
+    "plot!(p2, Qs, real(Δs), lw=2, label=\"Re(Δ)\")\n",
+    "#vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "#hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "vline!([-3], linestyle=:dashdot)\n",
+    "vline!([-2], linestyle=:dashdot)\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "vline!([0.499], linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"Δ\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "jxb = -imag(1.0 ./ (Δs .+ 1e-2))\n",
+    "jxb0 = -imag(1.0 ./ (Δs))\n",
+    "p3 = plot(Qs, jxb, lw=2, label=\"-Im(1 / (Δs + 1e-2))\",color=:blue)#, xlim = (-.11,-.09),ylim=(-500,500))\n",
+    "plot!(p3, Qs, jxb0, lw=2, label=\"-Im(1 / Δs)\",color=:red,linestyle=:dash)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"~ jxb\")\n",
+    "\n",
+    "p4 = plot(Qs, jxb, lw=2, label=\"-Im(1 / Δs)\",color=:blue)#, xlim = (-.11,-.09))\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"~ jxb\")\n",
+    "\"\"\"\n",
+    "#remake plot 1 but of derivative of balance with respect to Q\n",
+    "dQ = Qs[2] - Qs[1]\n",
+    "dbal_dQ = diff(bal) ./ dQ\n",
+    "p3 = plot(Qs[1:end-1], dbal_dQ, lw=2, label=\"d(balance)/dQ\",ylim=(-1000, 1000))\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"d(balance)/dQ\")\n",
+    "\"\"\"\n",
+    "\n",
+    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qs[], Qmax=Qs[zin], n=10000)\n",
+    "\n",
+    "\n",
+    "plo = plot(p1, p2,p3,p4,p5, p6, layout=(6,1), size=(1000, 2000))\n",
+    "display(plo)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Qlow = -0.1005100510051005\n",
+    "Qhigh =  0.49954995499549953\n",
+    "\n",
+    "#Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qlow, Qmax=Qhigh, n=10000)\n",
+    "\n",
+    "println(\"Qpeak = \", Qpeak)\n",
+    "println(\"maxbal = \", maximum(bal_positive))\n",
+    "println(\"maxbal = \", maximum(bal))\n",
+    "println(\"br_crit = \", brcrit)\n",
+    "\n",
+    "p1 = plot(Qs, bal, lw=2, label=\"balance\")#,ylim=(-40, 40))\n",
+    "z_inds = findall(i -> bal[i]*bal[i+1] < 0, 1:length(bal)-1)\n",
+    "println(\"zero crossings at Q = \", Qs[z_inds])\n",
+    "for i in z_inds\n",
+    "    vline!([Qs[i]], label=\"0\", linestyle=:dot, color=:gray)\n",
+    "end\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "\n",
+    "p5 = plot(Qs, bal, lw=2, label=\"balance\",ylim=(-40, 40), xlim = (-.11,-.09))\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "p2 = plot(Qs, -imag(Δs), lw=2, label=\"Im(Δ)\",ylim=(-2,2))#,xlim=(-.11,-.09))\n",
+    "plot!(p2, Qs, real(Δs), lw=2, label=\"Re(Δ)\")\n",
+    "#vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "#hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"Δ\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "jxb = -imag(1.0 ./ (Δs .+ 1e-2))\n",
+    "jxb0 = -imag(1.0 ./ (Δs))\n",
+    "p3 = plot(Qs, jxb, lw=2, label=\"-Im(1 / (Δs + 1e-2))\",color=:blue, xlim = (-.11,-.09),ylim=(-500,500))\n",
+    "plot!(p3, Qs, jxb0, lw=2, label=\"-Im(1 / Δs)\",color=:red,linestyle=:dash)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"~ jxb\")\n",
+    "\n",
+    "p4 = plot(Qs, jxb, lw=2, label=\"-Im(1 / Δs)\",color=:blue, xlim = (-.11,-.09))\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"~ jxb\")\n",
+    "\"\"\"\n",
+    "#remake plot 1 but of derivative of balance with respect to Q\n",
+    "dQ = Qs[2] - Qs[1]\n",
+    "dbal_dQ = diff(bal) ./ dQ\n",
+    "p3 = plot(Qs[1:end-1], dbal_dQ, lw=2, label=\"d(balance)/dQ\",ylim=(-1000, 1000))\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"d(balance)/dQ\")\n",
+    "\"\"\"\n",
+    "plo = plot(p1, p2,p3,p4,p5, layout=(5,1), size=(1000, 2000))\n",
+    "display(plo)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Qs = range(-5.0, 5.0, length=200)\n",
+    "\n",
+    "#vals = [torque_balance_value(tb, q) for q in Qs]\n",
+    "\"\"\"\n",
+    "n=2000:\n",
+    "Qpeak = 0.24512256128064033\n",
+    "maxbal = 0.35873684252530247\n",
+    "br_crit = 4.668551985584323e-5\n",
+    "\n",
+    "n=200 (def):\n",
+    "Qpeak = 0.25125628140703515\n",
+    "maxbal = 0.3585219071071706\n",
+    "br_crit = 4.667153206033017e-5\n",
+    "\"\"\"\n",
+    "\n",
+    "#Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=-.2, Qmax=0.5, n=10000)\n",
+    "\n",
+    "println(\"Qpeak = \", Qpeak)\n",
+    "println(\"maxbal = \", maximum(bal_positive))\n",
+    "println(\"maxbal = \", maximum(bal))\n",
+    "println(\"br_crit = \", brcrit)\n",
+    "\n",
+    "p1 = plot(Qs, bal, lw=2, label=\"balance\")#,ylim=(-40, 40))\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "p2 = plot(Qs, -imag(Δs), lw=2, label=\"Im(Δs)\")#,ylim=(-.2,.05))#,xlim=(-.11,-.09))\n",
+    "plot!(p2, Qs, real(Δs), lw=2, label=\"Re(Δs)\")\n",
+    "#vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "#hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"Δs\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "\"\"\"\n",
+    "#remake plot 1 but of derivative of balance with respect to Q\n",
+    "dQ = Qs[2] - Qs[1]\n",
+    "dbal_dQ = diff(bal) ./ dQ\n",
+    "p3 = plot(Qs[1:end-1], dbal_dQ, lw=2, label=\"d(balance)/dQ\",ylim=(-1000, 1000))\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"d(balance)/dQ\")\n",
+    "\"\"\"\n",
+    "plo = plot(p1, p2, layout=(2,1), size=(800, 1000))\n",
+    "display(plo)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "\n",
+    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\n",
+    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"jxb\")\n",
+    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
+    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "xlabel!(p3, \"Q\")\n",
+    "ylabel!(p3, \"balance\")\n",
+    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "\n",
+    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Check torque is balanced\n",
+    "\n",
+    "viscous_torque = 2*tb.P*(tb.Q0 - Qpeak)\n",
+    "electromagnetic_torque = -imag(1.0 / (Δs[Qpeak_ind] + 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
+    "\n",
+    "# delta_n_p = 1e-2\n",
+    "# jxb = -imag(1.0 / (Δ + delta_n_p))\n",
+    "# bal = 2.0 * tb.P * (tb.Q0 - Q) / jxb\n",
+    "# br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
+    "\n",
+    "@printf(\"br_crit = %.5e\\n\", brcrit)\n",
+    "@printf(\"viscous_torque = %.5e\\n\", viscous_torque)\n",
+    "@printf(\"electromagnetic_torque = %.5e\\n\", electromagnetic_torque)\n",
+    "@printf(\"ratio = %.10f\\n\", viscous_torque / electromagnetic_torque)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Qs_n, bal_n, Qs_positive_n, bal_positive_n, Qpeak_n, brcrit_n, Qpeak_ind_n, Δs_n = torque_balance_scan(tb,Qmin=-3, Qmax=3, n=2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "10",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sample_number = [2, 3, 4, 5, 10,100,1000]#,10000,100000]#,1000000]\n",
+    "b_crit = []\n",
+    "# make dicts to store Qs_n and Δs_n arrays for each sample number\n",
+    "Qs_n_dict = Dict{Int, Vector{Float64}}()\n",
+    "bal_n_dict = Dict{Int, Vector{Float64}}()\n",
+    "for i in sample_number\n",
+    "    Qs_n, bal_n, Qs_positive_n, bal_positive_n, Qpeak_n, brcrit_n, Qpeak_ind_n, Δs_n = torque_balance_scan(tb,Qmin=-3, Qmax=3, n=i)\n",
+    "    push!(b_crit, brcrit_n)\n",
+    "    push!(Qs_n_dict, i => Qs_n)\n",
+    "    push!(bal_n_dict, i => bal_n)\n",
+    "    println(bal_n)\n",
+    "end\n",
+    "\n",
+    "# add bcrit = 3.50601e-03 for n=100000 to b_crit\n",
+    "#push!(b_crit, 3.50601e-03)\n",
+    "\n",
+    "# make a plot of b_crit vs sample_number \n",
+    "p1 = plot(sample_number, b_crit,\n",
+    "    lw=2,\n",
+    "    label=\"b_crit\",\n",
+    "    #xscale=:log10,\n",
+    "    #yscale=:log10,\n",
+    "    xlabel=\"Sample Number\",\n",
+    "    ylabel=\"b_crit\")\n",
+    "\n",
+    "p2 = plot(\n",
+    "    xlabel=\"Q\",\n",
+    "    ylabel=\"balance\",\n",
+    "    title=\"Torque balance vs Q\"\n",
+    ")\n",
+    "\n",
+    "for i in sample_number[1:end-1]\n",
+    "    plot!(p2, Qs_n_dict[i], bal_n_dict[i],\n",
+    "        lw=2,\n",
+    "        label=\"n=$i\")\n",
+    "end\n",
+    "\n",
+    "p3 = plot(layout=(3, 2), size=(1000, 800))\n",
+    "\n",
+    "for (k, i) in enumerate(sample_number[1:end-1])\n",
+    "    plot!(\n",
+    "        p3[k],\n",
+    "        Qs_n_dict[i],\n",
+    "        bal_n_dict[i],\n",
+    "        lw=2,\n",
+    "        label=\"n=$i\",\n",
+    "        xlabel=\"Q\",\n",
+    "        ylabel=\"balance\",\n",
+    "        title=\"n = $i\"\n",
+    "    )\n",
+    "end\n",
+    "\n",
+    "display(p1)\n",
+    "display(p2)\n",
+    "display(p3)\n",
+    "\n",
+    "\n",
+    "println(\"b_crit = \", b_crit)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "println(b_crit)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "12",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bcrit = Any[0.0014075170156654356, 0.0015190532807794722, 0.0015297173529485084, 0.0015297510027746748, 0.0015297613496804952, 0.0015297692159317363, 0.004702965572292843]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "13",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Serialization\n",
+    "\n",
+    "# serialize(\"Qs_n_dict.jls\", Qs_n_dict)\n",
+    "# serialize(\"bal_n_dict.jls\", bal_n_dict)\n",
+    "# serialize(\"b_crit.jls\", b_crit)\n",
+    "# serialize(\"sample_number.jls\", sample_number)\n",
+    "#my_dict = deserialize(\"my_dict.jls\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "14",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=-2.5, Qmax=0, n=20000)\n",
+    "\n",
+    "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for q in Qs] #(q, jxb) in zip(Qs, jxbs)]\n",
+    "br_t = brcrit\n",
+    "println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", 1e-2)\n",
+    "@printf(\"br_crit = %.5e\\n\", brcrit)\n",
+    "#T_EM = tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs\n",
+    "T_EM = -imag(1.0 ./ (Δs .+ 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
+    "i = Qpeak_ind\n",
+    "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
+    "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
+    "println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
+    "\n",
+    "#T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
+    "#T_visc ∝ 2 P (Q0 − Q)\n",
+    "\n",
+    "xmi = -2.5\n",
+    "xma = 0\n",
+    "\n",
+    "\"\"\"\n",
+    "p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2, xlim=(xmi, xma))\n",
+    "#plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "#title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\"\"\"\n",
+    "\n",
+    "p1 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(-1000,1000))\n",
+    "plot!(p1, Qs, T_EM, label=\"T_EM\", lw=2)\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Torque\")\n",
+    "\n",
+    "#p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "p2 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(0,500))\n",
+    "plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"Torque\")\n",
+    "#title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2, xlim=(xmi, xma))\n",
+    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "ylabel!(p3, \"Torque Balance\")\n",
+    "#title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "xlabel!(p3, \"Q\")\n",
+    "vline!([Qpeak], label=\"Max Balance\", linestyle=:dash)\n",
+    "\n",
+    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "15",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Recreate Cihan's plot:\n",
+    "\n",
+    "using Plots\n",
+    "using DataInterpolations\n",
+    "\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    grid=false,\n",
+    "    linewidth=2,\n",
+    "    guidefontsize=26,\n",
+    "    tickfontsize=18,\n",
+    "    titlefontsize=30,\n",
+    "    legendfontsize=18,\n",
+    "    size=(1200, 800),\n",
+    "    dpi=150\n",
+    ")\n",
+    "\n",
+    "# Build the critical boundary bcrit(Q0)\n",
+    "Q0_scan = range(-1.0, 4.5; length=80)\n",
+    "bcrit_curve = Float64[]\n",
+    "\n",
+    "for Q0 in Q0_scan\n",
+    "    tbQ = TorqueBalance(\n",
+    "        tb.model,\n",
+    "        tb.params,\n",
+    "        Float64(Q0),\n",
+    "        tb.P,\n",
+    "        tb.delta_n_p,\n",
+    "        tb.lu,\n",
+    "        tb.sval\n",
+    "    )\n",
+    "\n",
+    "    Qs, bal, Qs_pos, bal_pos, Qpeak, brcrit, Qpeak_ind, Δs =\n",
+    "        torque_balance_scan(tbQ; Qmin=-10.0, Qmax=10.0, n=250)\n",
+    "\n",
+    "    if isempty(bal_pos) || !all(isfinite.(bal_pos)) || maximum(bal_pos) <= 0\n",
+    "        push!(bcrit_curve, NaN)\n",
+    "    else\n",
+    "        push!(bcrit_curve, brcrit)\n",
+    "    end\n",
+    "end\n",
+    "\n",
+    "ok = isfinite.(bcrit_curve)\n",
+    "Q0_plot = Q0_scan[ok]\n",
+    "bcrit_plot = bcrit_curve[ok]\n",
+    "\n",
+    "perm = sortperm(Q0_plot)\n",
+    "Q0_plot = Q0_plot[perm]\n",
+    "bcrit_plot = bcrit_plot[perm]\n",
+    "\n",
+    "# Interpolate the boundary: bcrit = f(Q0)\n",
+    "curve_itp = LinearInterpolation(bcrit_plot, Q0_plot)\n",
+    "\n",
+    "# Full phase-box bounds\n",
+    "x0 = minimum(bcrit_plot) * 0.8\n",
+    "x1 = maximum(bcrit_plot) * 1.2\n",
+    "y0 = minimum(Q0_plot)\n",
+    "y1 = maximum(Q0_plot)\n",
+    "\n",
+    "xvals = range(x0, x1; length=350)\n",
+    "yvals = range(y0, y1; length=350)\n",
+    "\n",
+    "locked_mask = zeros(Float64, length(yvals), length(xvals))\n",
+    "for iy in eachindex(yvals)\n",
+    "    y = yvals[iy]\n",
+    "    for ix in eachindex(xvals)\n",
+    "        x = xvals[ix]\n",
+    "        # locked when bcrit exceeds the boundary for that Q0\n",
+    "        locked_mask[iy, ix] = x >= curve_itp(y) ? 1.0 : 0.0\n",
+    "    end\n",
+    "end\n",
+    "\n",
+    "p = contourf(\n",
+    "    xvals, yvals, locked_mask',\n",
+    "    levels=[-0.5, 0.5, 1.5],\n",
+    "    c=[:navy, :firebrick],\n",
+    "    colorbar=false,\n",
+    "    xlabel=\"b_crit\",\n",
+    "    ylabel=\"Q_0\",\n",
+    "    title=\"Locked / unlocked region\",\n",
+    "    framestyle=:box,\n",
+    "    xlims=(x0, x1),\n",
+    "    ylims=(y0, y1),\n",
+    "    legend=false\n",
+    ")\n",
+    "\n",
+    "# Critical boundary\n",
+    "plot!(p, bcrit_plot, Q0_plot; lw=3, color=:black, label=\"critical boundary\")\n",
+    "\n",
+    "# Critical point\n",
+    "cp_idx = argmax(bcrit_plot)\n",
+    "cp_x = bcrit_plot[cp_idx]\n",
+    "cp_y = Q0_plot[cp_idx]\n",
+    "scatter!(p, [cp_x], [cp_y]; color=:gold, marker=:star5, ms=12, label=\"critical point\")\n",
+    "\n",
+    "# Single legend block with one entry per category\n",
+    "plot!(p, [NaN], [NaN]; color=:firebrick, lw=4, label=\"locked\")\n",
+    "plot!(p, [NaN], [NaN]; color=:navy, lw=4, label=\"unlocked\")\n",
+    "plot!(p, [NaN], [NaN]; color=:black, lw=3, label=\"critical boundary\")\n",
+    "scatter!(p, [NaN], [NaN]; color=:gold, marker=:star5, ms=12, label=\"critical point\")\n",
+    "\n",
+    "plot!(p; legend=:topright)\n",
+    "\n",
+    "display(p)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "16",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "17",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev_ggj.ipynb
similarity index 91%
rename from src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
rename to src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev_ggj.ipynb
index ca4f3df48..617d61585 100644
--- a/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
+++ b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev_ggj.ipynb	
@@ -216,7 +216,26 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing/p.lu^(1 / 3) for q in Qs]\n",
+    "plt.figure()\n",
+    "for i in OMFIT['GPEC']['OUTPUTS'].keys():\n",
+    "    try:\n",
+    "        print(OMFIT['GPEC']['OUTPUTS'][i]['DATA'][0]['gpec_slayer_torque_balance_m2_n1_out']['bal'].values)\n",
+    "        plt.plot(OMFIT['GPEC']['OUTPUTS'][i]['DATA'][0]['gpec_slayer_torque_balance_m2_n1_out']['inQ'].values, OMFIT['GPEC']['OUTPUTS'][i]['DATA'][0]['gpec_slayer_torque_balance_m2_n1_out']['bal'].values,label=i)\n",
+    "    except:\n",
+    "        continue\n",
+    "plt.axhline(0)\n",
+    "plt.legend()\n",
+    "        \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "12",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing/p.lu^(1 / 3)/p.rs for q in Qs]\n",
     "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
     "\n",
     "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
@@ -242,7 +261,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "12",
+   "id": "13",
    "metadata": {},
    "outputs": [],
    "source": [
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_numerics.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_numerics.ipynb
new file mode 100644
index 000000000..71ed79d9e
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_numerics.ipynb	
@@ -0,0 +1,122 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
+    "Base.active_project()\n",
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using GeneralizedPerturbedEquilibrium: Analysis\n",
+    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
+    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
+    "using GeneralizedPerturbedEquilibrium: Tearing\n",
+    "using ..InnerLayer\n",
+    "using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
+    "    SLAYERModel, SLAYERParameters\n",
+    "using Serialization\n",
+    "using Plots\n",
+    "using Printf\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    margin=12Plots.mm,\n",
+    "    size=(800, 500),\n",
+    "    dpi=150\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bal_n_dict = deserialize(\"bal_n_dict.jls\")\n",
+    "Qs_n_dict = deserialize(\"Qs_n_dict.jls\")\n",
+    "sample_number = deserialize(\"sample_number.jls\")\n",
+    "bcrit = deserialize(\"b_crit.jls\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# make a plot of b_crit vs sample_number \n",
+    "p1 = plot(\n",
+    "    sample_number,\n",
+    "    b_crit,\n",
+    "    lw=2,\n",
+    "    marker=:circle,\n",
+    "    label=\"b_crit\",\n",
+    "    xscale=:log10,\n",
+    "    #yscale=:log10,\n",
+    "    xlabel=\"Sample Number\",\n",
+    "    ylabel=\"b_crit\"\n",
+    ")\n",
+    "\n",
+    "xticks!(p1,\n",
+    "    [5, 10, 100, 1000, 10000, 100000, 1000000],\n",
+    "    [\"5\", \"10\", \"100\", \"1k\", \"10k\", \"100k\", \"1M\"]\n",
+    ")\n",
+    "\n",
+    "p2 = plot(\n",
+    "    xlabel=\"Q\",\n",
+    "    ylabel=\"balance\",\n",
+    "    title=\"Torque balance vs Q\"\n",
+    ")\n",
+    "\n",
+    "for i in sample_number\n",
+    "    plot!(p2, Qs_n_dict[i], bal_n_dict[i],\n",
+    "        lw=2,\n",
+    "        label=\"n=$i\")\n",
+    "end\n",
+    "\n",
+    "p3 = plot(layout=(4, 2), size=(1000, 800))\n",
+    "\n",
+    "for (k, i) in enumerate(sample_number)\n",
+    "    plot!(\n",
+    "        p3[k],\n",
+    "        Qs_n_dict[i],\n",
+    "        bal_n_dict[i],\n",
+    "        lw=2,\n",
+    "        label=\"n=$i\",\n",
+    "        xlabel=\"Q\",\n",
+    "        ylabel=\"balance\",\n",
+    "        title=\"n = $i\"\n",
+    "    )\n",
+    "end\n",
+    "\n",
+    "display(p1)\n",
+    "display(p2)\n",
+    "display(p3)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "println(\"bcrit = $bcrit\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/Tearing/CriticalResonantField/gslayer.txt b/src/Tearing/CriticalResonantField/CRF Dev/gslayer.txt
similarity index 100%
rename from src/Tearing/CriticalResonantField/gslayer.txt
rename to src/Tearing/CriticalResonantField/CRF Dev/gslayer.txt
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb
new file mode 100644
index 000000000..329e9dd53
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb	
@@ -0,0 +1,234 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
+    "Base.active_project()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using GeneralizedPerturbedEquilibrium: Analysis\n",
+    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
+    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
+    "using GeneralizedPerturbedEquilibrium: Tearing\n",
+    "using ..InnerLayer\n",
+    "using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
+    "    SLAYERModel, SLAYERParameters\n",
+    "\n",
+    "using Plots\n",
+    "using Printf\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    margin=12Plots.mm,\n",
+    "    size=(800, 500),\n",
+    "    dpi=150\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "struct TorqueBalance{M<:InnerLayerModel,P}\n",
+    "    model::M\n",
+    "    params::P\n",
+    "    Q0::Float64\n",
+    "    P::Float64\n",
+    "    lu::Float64\n",
+    "    sval::Float64\n",
+    "end\n",
+    "\n",
+    "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
+    "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
+    "    alpha = 1e-2\n",
+    "    jxb = -imag(1.0 / (Δ + alpha))\n",
+    "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ\n",
+    "end\n",
+    "\n",
+    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)\n",
+    "    Qs = range(Qmin, Qmax; length=n)\n",
+    "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
+    "    bal = [x[1] for x in torque_out]\n",
+    "    Δs = [x[2] for x in torque_out]\n",
+    "    #bal = [torque_balance_value(tb, q) for q in Qs]\n",
+    "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
+    "\n",
+    "    if !any(positive)\n",
+    "        return Qs, bal, NaN, NaN, 0.0, NaN, NaN, Δs\n",
+    "    end\n",
+    "\n",
+    "    i = argmax(bal)\n",
+    "    Qpeak_ind = i\n",
+    "    Qs_positive = Qs[positive]\n",
+    "    bal_positive = bal[positive]\n",
+    "\n",
+    "\n",
+    "    \n",
+    "    Qpeak = Qs_positive[i]\n",
+    "    maxbal = bal_positive[i]\n",
+    "\n",
+    "    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
+    "    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
+    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
+    "    omega=0.0, omega_e=40, omega_i=-20,\n",
+    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
+    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
+    ")\n",
+    "p = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
+    "    ising=p.ising,\n",
+    "    m=p.m, n=p.n,\n",
+    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
+    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
+    "    Q_e=2, Q_i=3, iota_e=p.iota_e,\n",
+    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
+    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
+    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
+    "    eta=p.eta, d_beta=p.d_beta,\n",
+    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
+    ")\n",
+    "\n",
+    "tb = TorqueBalance(\n",
+    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
+    "    p,\n",
+    "    0.5,\n",
+    "    61.0, #1.0\n",
+    "    p.lu,\n",
+    "    p.sval_r\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=-2.5, Qmax=0, n=20000)\n",
+    "\n",
+    "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for q in Qs] #(q, jxb) in zip(Qs, jxbs)]\n",
+    "#br_t = brcrit\n",
+    "#println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", 1e-2)\n",
+    "#@printf(\"br_crit = %.5e\\n\", brcrit)\n",
+    "#T_EM = tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs\n",
+    "T_EM = -imag(1.0 ./ (Δs .+ 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
+    "i = Qpeak_ind\n",
+    "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
+    "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
+    "println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
+    "\n",
+    "#T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
+    "#T_visc ∝ 2 P (Q0 − Q)\n",
+    "\n",
+    "xmi = -2.5\n",
+    "xma = 0\n",
+    "\n",
+    "\"\"\"\n",
+    "p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2, xlim=(xmi, xma))\n",
+    "#plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "#title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\"\"\"\n",
+    "\n",
+    "p1 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(-1000,1000))\n",
+    "plot!(p1, Qs, T_EM, label=\"T_EM\", lw=2)\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Torque\")\n",
+    "\n",
+    "#p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "p2 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(0,500))\n",
+    "plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"Torque\")\n",
+    "#title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2, xlim=(xmi, xma))\n",
+    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "ylabel!(p3, \"Torque Balance\")\n",
+    "#title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "xlabel!(p3, \"Q\")\n",
+    "vline!([Qpeak], label=\"Max Balance\", linestyle=:dash)\n",
+    "\n",
+    "#plot(p1, p2, p3, layout=(3,1), size=(800, 1000))\n",
+    "plot(p3, layout=(1,1), size=(800, 1000))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# compare Q_e to Q of max(bal)\n",
+    "println(\"-Q_e = \", -p.Q_e, \" Q_i = \", p.Q_i, \" Q_peak = \", Qpeak, \" br_crit = \", brcrit)\n",
+    "# check if |Qpeak+Q_e| < 1e-2\n",
+    "println(\"|Qpeak + Q_e| = \", abs(Qpeak + p.Q_e))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Check torque is balanced\n",
+    "\n",
+    "viscous_torque = 2*tb.P*(tb.Q0 - Qpeak)\n",
+    "electromagnetic_torque = -imag(1.0 / (Δs[Qpeak_ind] + 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
+    "\n",
+    "# delta_n_p = 1e-2\n",
+    "# jxb = -imag(1.0 / (Δ + delta_n_p))\n",
+    "# bal = 2.0 * tb.P * (tb.Q0 - Q) / jxb\n",
+    "# br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
+    "\n",
+    "@printf(\"br_crit = %.5e\\n\", brcrit)\n",
+    "@printf(\"viscous_torque = %.5e\\n\", viscous_torque)\n",
+    "@printf(\"electromagnetic_torque = %.5e\\n\", electromagnetic_torque)\n",
+    "@printf(\"ratio = %.10f\\n\", viscous_torque / electromagnetic_torque)"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/sample_number.jls b/src/Tearing/CriticalResonantField/CRF Dev/sample_number.jls
new file mode 100644
index 0000000000000000000000000000000000000000..c320ccaa9d62b84e8037da421fd24ccf2da49346
GIT binary patch
literal 68
ucmXr_@{wa<U|<ks;CRLgq(OiSLNTO3=@-lphJZSRUeLw}W;i(UgJ}T6Yz067

literal 0
HcmV?d00001

diff --git a/src/Tearing/CriticalResonantField/TorqueBalance.jl b/src/Tearing/CriticalResonantField/TorqueBalance.jl
index 517737c57..fbafddc4a 100644
--- a/src/Tearing/CriticalResonantField/TorqueBalance.jl
+++ b/src/Tearing/CriticalResonantField/TorqueBalance.jl
@@ -40,8 +40,8 @@ end
 
 function torque_balance_value(tb::TorqueBalance, Q::Number)
     Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing
-    delta_n_p = 1e-2 # JK hack to avoid singularity at Δ=0.0. Need to fix this in the future.
-    jxb = -imag(1.0 / (Δ + delta_n_p))
+    alpha = 1e-2 # Equation 62 of Cole PopP 2006 takes limit of alpha << 1. Set at 1e-2 but more accurate method is alpha = S^(-1/3) * (-r_s Δ'_s)
+    jxb = -imag(1.0 / (Δ + alpha))
     return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ
 end
 
diff --git a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
deleted file mode 100644
index 9269f6ab4..000000000
--- a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
+++ /dev/null
@@ -1,407 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Pkg\n",
-    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
-    "Base.active_project()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using GeneralizedPerturbedEquilibrium\n",
-    "using GeneralizedPerturbedEquilibrium: Analysis\n",
-    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
-    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
-    "using GeneralizedPerturbedEquilibrium: Tearing\n",
-    "using ..InnerLayer\n",
-    "using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
-    "    SLAYERModel, SLAYERParameters\n",
-    "\n",
-    "using Plots\n",
-    "default(\n",
-    "    fontfamily=\"Georgia\",\n",
-    "    margin=12Plots.mm,\n",
-    "    size=(800, 500),\n",
-    "    dpi=150\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "struct TorqueBalance{M<:InnerLayerModel,P}\n",
-    "    model::M\n",
-    "    params::P\n",
-    "    Q0::Float64\n",
-    "    P::Float64\n",
-    "    lu::Float64\n",
-    "    sval::Float64\n",
-    "end\n",
-    "\n",
-    "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
-    "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
-    "    delta_n_p = 1e-2\n",
-    "    jxb = -imag(1.0 / (Δ + delta_n_p))\n",
-    "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ\n",
-    "end\n",
-    "\n",
-    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)\n",
-    "    Qs = range(Qmin, Qmax; length=n)\n",
-    "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
-    "    bal = [x[1] for x in torque_out]\n",
-    "    Δs = [x[2] for x in torque_out]\n",
-    "    #bal = [torque_balance_value(tb, q) for q in Qs]\n",
-    "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
-    "\n",
-    "    if !any(positive)\n",
-    "        return Qs, bal, NaN, 0.0\n",
-    "    end\n",
-    "    i = argmax(bal)\n",
-    "    Qpeak_ind = i\n",
-    "    Qs_positive = Qs[positive]\n",
-    "    bal_positive = bal[positive]\n",
-    "\n",
-    "    i = argmax(bal_positive)\n",
-    "    Qpeak = Qs_positive[i]\n",
-    "    \n",
-    "    maxbal = bal_positive[i]\n",
-    "\n",
-    "    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
-    "    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# You can substitute any valid SLAYERParameters you already have.\n",
-    "# This is just an example skeleton.\n",
-    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
-    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
-    "    omega=0.0, omega_e=4, omega_i=-2,\n",
-    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
-    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
-    ")\n",
-    "p2 = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
-    "    ising=p.ising,\n",
-    "    m=p.m, n=p.n,\n",
-    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
-    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
-    "    Q_e=4 / p.tauk, Q_i=-10 / p.tauk, iota_e=p.iota_e,\n",
-    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
-    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
-    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
-    "    eta=p.eta, d_beta=p.d_beta,\n",
-    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
-    ")\n",
-    "\n",
-    "#p = p2\n",
-    "\n",
-    "tb = TorqueBalance(\n",
-    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
-    "    p,\n",
-    "    0.5,\n",
-    "    1.0,\n",
-    "    p.lu,\n",
-    "    p.sval_r\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Qs = range(-5.0, 5.0, length=200)\n",
-    "\n",
-    "#vals = [torque_balance_value(tb, q) for q in Qs]\n",
-    "\"\"\"\n",
-    "n=2000:\n",
-    "Qpeak = 0.24512256128064033\n",
-    "maxbal = 0.35873684252530247\n",
-    "br_crit = 4.668551985584323e-5\n",
-    "\n",
-    "n=200 (def):\n",
-    "Qpeak = 0.25125628140703515\n",
-    "maxbal = 0.3585219071071706\n",
-    "br_crit = 4.667153206033017e-5\n",
-    "\"\"\"\n",
-    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb)\n",
-    "\n",
-    "println(\"Qpeak = \", Qpeak)\n",
-    "println(\"maxbal = \", maximum(bal_positive))\n",
-    "println(\"maxbal = \", maximum(bal))\n",
-    "println(\"br_crit = \", brcrit)\n",
-    "\n",
-    "p1 = plot(Qs, bal, lw=2, label=\"balance\")\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "p2 = plot(Qs_positive, bal_positive, lw=2, label=\"balance (positive)\")\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "plot(p1, p2, layout=(2,1), size=(800, 1000))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "\n",
-    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\n",
-    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"jxb\")\n",
-    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
-    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "xlabel!(p3, \"Q\")\n",
-    "ylabel!(p3, \"balance\")\n",
-    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "\n",
-    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Qpk = Qs_positive[argmax(bal_positive)]\n",
-    "j   = findfirst(isequal(Qpk), Qs)\n",
-    "\n",
-    "lhs = 2*tb.P*(tb.Q0 - Qpk) / jxbs[j]\n",
-    "br_ratio = sqrt(lhs / (tb.lu * tb.sval^2 / 2))\n",
-    "\n",
-    "rhs = (tb.lu * tb.sval^2 / 2) * br_ratio^2\n",
-    "\n",
-    "\n",
-    "\n",
-    "println(\"lhs = \", lhs)\n",
-    "println(\"rhs = \", rhs)\n",
-    "println(\"lhs/rhs = \", lhs / rhs)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing for q in Qs]\n",
-    "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
-    "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for (q, jxb) in zip(Qs, jxbs)]\n",
-    "br_t = brcrit\n",
-    "println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", tb.delta_n_p)\n",
-    "T_EM = tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs\n",
-    "i = Qpeak_ind\n",
-    "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
-    "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
-    "println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
-    "\n",
-    "#T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
-    "#T_visc ∝ 2 P (Q0 − Q)\n",
-    "\n",
-    "p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "#plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\n",
-    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "plot!(p2, Qs, T_VISC, label=\"2P(Q0-Q)\", lw=2)\n",
-    "plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"jxb\")\n",
-    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
-    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "xlabel!(p3, \"Q\")\n",
-    "ylabel!(p3, \"balance\")\n",
-    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "\n",
-    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Recreate Cihan's plot:\n",
-    "\n",
-    "using Plots\n",
-    "using DataInterpolations\n",
-    "\n",
-    "default(\n",
-    "    fontfamily=\"Georgia\",\n",
-    "    grid=false,\n",
-    "    linewidth=2,\n",
-    "    guidefontsize=26,\n",
-    "    tickfontsize=18,\n",
-    "    titlefontsize=30,\n",
-    "    legendfontsize=18,\n",
-    "    size=(1200, 800),\n",
-    "    dpi=150\n",
-    ")\n",
-    "\n",
-    "# Build the critical boundary bcrit(Q0)\n",
-    "Q0_scan = range(-1.0, 4.5; length=80)\n",
-    "bcrit_curve = Float64[]\n",
-    "\n",
-    "for Q0 in Q0_scan\n",
-    "    tbQ = TorqueBalance(\n",
-    "        tb.model,\n",
-    "        tb.params,\n",
-    "        Float64(Q0),\n",
-    "        tb.P,\n",
-    "        tb.delta_n_p,\n",
-    "        tb.lu,\n",
-    "        tb.sval\n",
-    "    )\n",
-    "\n",
-    "    Qs, bal, Qs_pos, bal_pos, Qpeak, brcrit, Qpeak_ind, Δs =\n",
-    "        torque_balance_scan(tbQ; Qmin=-10.0, Qmax=10.0, n=250)\n",
-    "\n",
-    "    if isempty(bal_pos) || !all(isfinite.(bal_pos)) || maximum(bal_pos) <= 0\n",
-    "        push!(bcrit_curve, NaN)\n",
-    "    else\n",
-    "        push!(bcrit_curve, brcrit)\n",
-    "    end\n",
-    "end\n",
-    "\n",
-    "ok = isfinite.(bcrit_curve)\n",
-    "Q0_plot = Q0_scan[ok]\n",
-    "bcrit_plot = bcrit_curve[ok]\n",
-    "\n",
-    "perm = sortperm(Q0_plot)\n",
-    "Q0_plot = Q0_plot[perm]\n",
-    "bcrit_plot = bcrit_plot[perm]\n",
-    "\n",
-    "# Interpolate the boundary: bcrit = f(Q0)\n",
-    "curve_itp = LinearInterpolation(bcrit_plot, Q0_plot)\n",
-    "\n",
-    "# Full phase-box bounds\n",
-    "x0 = minimum(bcrit_plot) * 0.8\n",
-    "x1 = maximum(bcrit_plot) * 1.2\n",
-    "y0 = minimum(Q0_plot)\n",
-    "y1 = maximum(Q0_plot)\n",
-    "\n",
-    "xvals = range(x0, x1; length=350)\n",
-    "yvals = range(y0, y1; length=350)\n",
-    "\n",
-    "locked_mask = zeros(Float64, length(yvals), length(xvals))\n",
-    "for iy in eachindex(yvals)\n",
-    "    y = yvals[iy]\n",
-    "    for ix in eachindex(xvals)\n",
-    "        x = xvals[ix]\n",
-    "        # locked when bcrit exceeds the boundary for that Q0\n",
-    "        locked_mask[iy, ix] = x >= curve_itp(y) ? 1.0 : 0.0\n",
-    "    end\n",
-    "end\n",
-    "\n",
-    "p = contourf(\n",
-    "    xvals, yvals, locked_mask',\n",
-    "    levels=[-0.5, 0.5, 1.5],\n",
-    "    c=[:navy, :firebrick],\n",
-    "    colorbar=false,\n",
-    "    xlabel=\"b_crit\",\n",
-    "    ylabel=\"Q_0\",\n",
-    "    title=\"Locked / unlocked region\",\n",
-    "    framestyle=:box,\n",
-    "    xlims=(x0, x1),\n",
-    "    ylims=(y0, y1),\n",
-    "    legend=false\n",
-    ")\n",
-    "\n",
-    "# Critical boundary\n",
-    "plot!(p, bcrit_plot, Q0_plot; lw=3, color=:black, label=\"critical boundary\")\n",
-    "\n",
-    "# Critical point\n",
-    "cp_idx = argmax(bcrit_plot)\n",
-    "cp_x = bcrit_plot[cp_idx]\n",
-    "cp_y = Q0_plot[cp_idx]\n",
-    "scatter!(p, [cp_x], [cp_y]; color=:gold, marker=:star5, ms=12, label=\"critical point\")\n",
-    "\n",
-    "# Single legend block with one entry per category\n",
-    "plot!(p, [NaN], [NaN]; color=:firebrick, lw=4, label=\"locked\")\n",
-    "plot!(p, [NaN], [NaN]; color=:navy, lw=4, label=\"unlocked\")\n",
-    "plot!(p, [NaN], [NaN]; color=:black, lw=3, label=\"critical boundary\")\n",
-    "scatter!(p, [NaN], [NaN]; color=:gold, marker=:star5, ms=12, label=\"critical point\")\n",
-    "\n",
-    "plot!(p; legend=:topright)\n",
-    "\n",
-    "display(p)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "10",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "language_info": {
-   "file_extension": ".jl",
-   "mimetype": "application/julia",
-   "name": "julia"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/src/Tearing/Runner/HDF5Output.jl b/src/Tearing/Runner/HDF5Output.jl
index 02c3f5da9..006f2d079 100644
--- a/src/Tearing/Runner/HDF5Output.jl
+++ b/src/Tearing/Runner/HDF5Output.jl
@@ -82,6 +82,13 @@ function write_critical_resonant_field_hdf5!(parent::Union{HDF5.File,HDF5.Group}
             sg["balance_positive"] = d.balance_positive
             sg["Qpeak"] = d.Qpeak
             sg["br_crit"] = d.br_crit
+
+            # Save inputs for analysis in post
+            for field in (:Q0, :P, :lu, :sval, :m, :n)
+                if field in keys(d)
+                    sg[String(field)] = getfield(d, field)
+                end
+            end
         end
     end
 
diff --git a/src/Tearing/Runner/run_slayer.jl b/src/Tearing/Runner/run_slayer.jl
index 5c92691f5..3d51d4a11 100644
--- a/src/Tearing/Runner/run_slayer.jl
+++ b/src/Tearing/Runner/run_slayer.jl
@@ -472,10 +472,11 @@ end
 function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_result=nothing)
     ctrl.enabled || return empty_critical_resonant_field_result()
 
+    profiles = load_kinetic_profiles(joinpath(dir_path, ctrl.profile_file))
+
     params = if slayer_result !== nothing && slayer_result.enabled && !isempty(slayer_result.params)
         slayer_result.params
     else
-        profiles = load_kinetic_profiles(joinpath(dir_path, ctrl.profile_file))
         build_slayer_inputs(equil, intr.sing, profiles)
     end
 
@@ -490,8 +491,9 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
     scan_data = NamedTuple[]
 
     for (isurf, p) in enumerate(params)
-        # Fill in the actual per-surface drive from your model
-        Q0_here = 0.5
+        psi_here = intr.sing[isurf].psifac
+        omega_here = profiles(psi_here).omega
+        Q0_here = p.tauk * omega_here
         P_here = 1.0
 
         tb = TorqueBalance(
@@ -512,21 +514,25 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
         push!(Q0_vec, Q0_here)
         push!(P_vec, P_here)
 
-        if ctrl.store_scan
-            push!(
-                scan_data,
-                (
-                    surface=isurf,
-                    Q=collect(Qs),
-                    balance=collect(bal),
-                    delta=collect(Δs),
-                    Q_positive=collect(Qs_positive),
-                    balance_positive=collect(bal_positive),
-                    Qpeak=Qpeak,
-                    br_crit=br_crit
-                )
-            )
-        end
+        scan_entry = (
+            surface=isurf,
+            Q=collect(Qs),
+            balance=collect(bal),
+            delta=collect(Δs),
+            Q_positive=collect(Qs_positive),
+            balance_positive=collect(bal_positive),
+            Qpeak=Qpeak,
+            br_crit=br_crit,
+            Q0=Q0_here,
+            P=P_here,
+            lu=p.lu,
+            sval=p.sval_r,
+            m=p.m,
+            n=p.n,
+            params=p
+        )
+        push!(scan_data, scan_entry)
+
     end
 
     return CriticalResonantFieldResult(

From 6f4a356483082f90baed0df5f3c45cd2bd9b08af Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Wed, 19 Aug 2026 22:04:23 -0400
Subject: [PATCH 6/9] WIP - Minimal working version

---
 examples/DIIID-like_SLAYER_example/gpec.toml  |   8 +-
 .../DIIID-like_SLAYER_example/slayer_ex.ipynb |  86 +++++-
 .../CRF Dev/P_eta_calc.ipynb                  | 279 ++++++++++++++++++
 .../CRF Dev/bcrit_dev.ipynb                   |   4 +-
 .../CRF Dev/pole_testing.ipynb                | 193 +++++++++++-
 .../CriticalResonantField/TorqueBalance.jl    |  86 +++++-
 src/Tearing/Runner/Control.jl                 |  80 ++---
 src/Tearing/Runner/HDF5Output.jl              |  11 +-
 src/Tearing/Runner/Result.jl                  |  77 ++---
 src/Tearing/Runner/Runner.jl                  |   1 +
 src/Tearing/Runner/run_slayer.jl              | 225 ++++++++------
 11 files changed, 839 insertions(+), 211 deletions(-)
 create mode 100644 src/Tearing/CriticalResonantField/CRF Dev/P_eta_calc.ipynb

diff --git a/examples/DIIID-like_SLAYER_example/gpec.toml b/examples/DIIID-like_SLAYER_example/gpec.toml
index d5dfe09c3..618372d02 100644
--- a/examples/DIIID-like_SLAYER_example/gpec.toml
+++ b/examples/DIIID-like_SLAYER_example/gpec.toml
@@ -30,7 +30,7 @@ equal_arc_wall = true          # Equal arc length distribution of nodes on wall
 
 [ForceFreeStates]
 force_termination = true       # Run FFS + SLAYER, skip PerturbedEquilibrium
-local_stability_flag = true    # Perform local stability analysis (Mercier and ballooning) across the ψ profile
+local_stability_flag = false    # Perform local stability analysis (Mercier and ballooning) across the ψ profile
 vac_flag = true                # Compute plasma, vacuum, and total energies for free-boundary modes
 
 psiedge = 0.99                 # Edge dW scan band: diagnostic dW(ψ) computed for ψ ∈ [psiedge, psilim]; integration domain set by qhigh / psihigh / dmlim
@@ -87,11 +87,11 @@ Q_im_range = [-0.5, 3.0]       # Scan box in the normalized Q plane, Im(Q) axis
 nre        = 41                # Grid resolution along the Re(Q) axis
 nim        = 31                # Grid resolution along the Im(Q) axis
 
-[CriticalResonantField]
+[SLAYER.CriticalResonantField]
 # CriticalResonantField used to find the critical resonant field sufficent for tearing onset at each rational surface.
 enabled = true # Run CriticalResonantField analysis
-inner_model = "slayer_fitzpatrick" # Inner-layer Δ(Q) model: "slayer_fitzpatrick", "ggj_shooting", or "ggj_galerkin"
 Qmin = -10 # Minimum rotation scanned
 Qmax = 10 # Maximum rotation scanned
 n = 200 # Number of rotation points scanned
-profile_file = "../DIIID-like_ideal_example/TkMkr_D3Dlike_Hmode_kinetic.h5" # Kinetic-profile file (relative to the run dir), required when SLAYER is enabled
+angular_momentum_diffusivity = [1.0,1.0,1.0,1.0,1.0,1.0] # Toroidal momentum diffusivity (if nothing, falls back on chi_perp ~ chi_e, electron thermal diffusivity)
+store_scan = true # Per surface torque and inner layer quantities
diff --git a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
index 709891273..710608340 100644
--- a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
+++ b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
@@ -134,6 +134,90 @@
    "id": "6",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "# print all P values\n",
+    "println(\"\\nP values for each surface in the scan:\")\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    for i in 1:6\n",
+    "        ss = \"surface_$i\"\n",
+    "        if haskey(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"], ss)\n",
+    "            P = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][ss][\"P\"])\n",
+    "            println(\"Surface $i: P = $(join([@sprintf(\"%.2e\", x) for x in P], \" \"))\")\n",
+    "        else\n",
+    "            println(\"Surface $i: No data found.\")\n",
+    "        end\n",
+    "    end\n",
+    "end\n",
+    "# want to print chi_tor for each surface in the scan, need to use P = (4π * 1e-7) .* abs.(chi_sel) ./ η_neo, so chi_sel = P * η_neo / (4π * 1e-7)\n",
+    "println(\"\\nchi_tor values for each surface in the scan:\")\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    for i in 1:6\n",
+    "        ss = \"surface_$i\"\n",
+    "        if haskey(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"], ss)\n",
+    "            P = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][ss][\"P\"])\n",
+    "            η_neo = read(file[\"Tearing\"][\"PerSurface\"][\"eta\"])\n",
+    "            chi_tor = P .* η_neo[i] ./ (4π * 1e-7)\n",
+    "            println(\"Surface $i: chi_tor = $(join([@sprintf(\"%.2e\", x) for x in chi_tor], \" \"))\")   \n",
+    "        else\n",
+    "            println(\"Surface $i: No data found.\")\n",
+    "        end\n",
+    "    end\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# plot jxb vs Qs for surface 1\n",
+    "# jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "surface_num = 2\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    Δs = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"delta\"])\n",
+    "    Qs = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"Q\"])\n",
+    "    bal = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"balance\"])\n",
+    "    jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "    aplot = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "    xlabel!(\"Q\")\n",
+    "    ylabel!(\"jxb\")\n",
+    "    title!(\"jxb vs Q for surface $(surface_num)\")\n",
+    "    println(\"max of balance: \", maximum(bal))\n",
+    "    println(\"max of jxb: \", maximum(jxbs))\n",
+    "    println(\"bcrit: \", read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"]))\n",
+    "    println(\"Qpeak: \", read(file[\"Tearing\"][\"CriticalResonantField\"][\"Qpeak\"]))\n",
+    "    println(\"Q_e:   \", read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"]))\n",
+    "    # plot balance vs q with bcrit as vertical line\n",
+    "    p2 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
+    "    plot!(p2, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "    xlabel!(p2, \"Q\")\n",
+    "    ylabel!(p2, \"balance\")\n",
+    "    title!(p2, \"2P(Q0-Q)/jxb - surface $(surface_num)\")\n",
+    "    vline!(p2, [read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"])], label=\"bcrit\", lw=2, lc=:red)\n",
+    "    # add Q_e as vertical line\n",
+    "    vline!(p2, [read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"])[surface_num]], label=\"Q_e\", lw=2, lc=:green)\n",
+    "    vline!(p2, [read(file[\"Tearing\"][\"PerSurface\"][\"Q_i\"])[surface_num]], label=\"Q_i\", lw=2, lc=:blue)\n",
+    "\n",
+    "    display(aplot)\n",
+    "    display(p2)\n",
+    "\n",
+    "end\n",
+    "\n",
+    "\"\"\"\n",
+    "Local maxima indices: [104, 103] with values: [80.15320925995013, 79.66428209429431] and corresponding Qs: [0.35175879396984927, 0.25125628140703515] closest Q to Q_e: -0.35175879396984927 closest Q to Q_i: 0.35175879396984927\n",
+    "Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.\n",
+    "Selected local maximum index: 103 with value: 79.66428209429431 and corresponding Q: 0.25125628140703515\n",
+    "\"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# Plot bcrit vs q surface\n",
     "\n",
@@ -156,7 +240,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7",
+   "id": "9",
    "metadata": {},
    "outputs": [],
    "source": [
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/P_eta_calc.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/P_eta_calc.ipynb
new file mode 100644
index 000000000..0639317bd
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/CRF Dev/P_eta_calc.ipynb	
@@ -0,0 +1,279 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
+    "Base.active_project()\n",
+    "\n",
+    "using Plots\n",
+    "using Printf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Minimal Julia implementation of the `neo_2021` branch.\n",
+    "\n",
+    "# Inputs:\n",
+    "#   Te     : electron temperature [eV]\n",
+    "#   ne     : electron density [m^-3]\n",
+    "#   Ti     : ion temperature [eV]\n",
+    "#   q      : safety factor\n",
+    "#   eps    : inverse aspect ratio\n",
+    "#   R      : major radius [m]\n",
+    "#   fT     : trapped-particle fraction\n",
+    "#   Zeff   : effective charge\n",
+    "\n",
+    "# Output:\n",
+    "#   σ_spitzer : Spitzer conductivity [1/(Ω m)]\n",
+    "#   σ_neo     : Redl 2021 neoclassical conductivity [1/(Ω m)]\n",
+    "\n",
+    "# All inputs can be scalars or arrays of the same size.\n",
+    "\n",
+    "function neoclassical_conductivity(\n",
+    "    Te, ne, Ti, q, eps, R, fT, Zeff;\n",
+    "    version = :neo_2021,\n",
+    ")\n",
+    "\n",
+    "    # Coulomb logarithms\n",
+    "    lnΛe = 23.5 .-\n",
+    "           log.(sqrt.(ne ./ 1e6) .* Te.^(-5/4)) .-\n",
+    "           sqrt.(1e-5 .+ (log.(Te) .- 2).^2 ./ 16)\n",
+    "\n",
+    "    # Ion density.\n",
+    "    #\n",
+    "    # For the simple D + C model used in the original code:\n",
+    "    #     n_i = n_main + n_imp\n",
+    "    #\n",
+    "    # If only Zeff is supplied, the original function uses\n",
+    "    #     n_i = ne / Zeff\n",
+    "    ni = ne ./ Zeff\n",
+    "\n",
+    "    # With only Zeff available, Zdom = 1, giving\n",
+    "    Zdom = 1.0\n",
+    "\n",
+    "    # Average ion charge\n",
+    "    Zavg = ne ./ ni\n",
+    "\n",
+    "    # Koh effective ion charge\n",
+    "    Zion = (Zdom^2 .* Zavg .* Zeff).^(1/4)\n",
+    "\n",
+    "    # Ion Coulomb logarithm\n",
+    "    lnΛi = 30.0 .-\n",
+    "           log.(Zion.^3 .* sqrt.(ni) ./ Ti.^1.5)\n",
+    "\n",
+    "    # Prevent pathological negative electron Coulomb logarithms\n",
+    "    lnΛe_min = minimum(lnΛe[lnΛe .> 0])\n",
+    "    lnΛe = max.(lnΛe, lnΛe_min)\n",
+    "\n",
+    "    # Avoid eps = 0\n",
+    "    eps_nz = copy(eps)\n",
+    "    if any(eps .== 0)\n",
+    "        eps_nz[eps .== 0] .= minimum(eps[eps .!= 0])\n",
+    "    end\n",
+    "\n",
+    "    # Electron collisionality, Eq. 18b\n",
+    "    νe_star = 6.921e-18 .* abs.(q) .* R .* ne .* Zeff .* lnΛe ./\n",
+    "              (Te.^2 .* eps_nz.^1.5)\n",
+    "\n",
+    "    # Ion collisionality, Eq. 18c\n",
+    "    νi_star = 4.90e-18 .* abs.(q) .* R .* ni .* Zion.^4 .* lnΛi ./\n",
+    "              (Ti.^2 .* eps_nz.^1.5)\n",
+    "\n",
+    "    # Sauter Eq. 18a\n",
+    "    NZ(Z) = 0.58 + 0.74 ./ (0.76 + Z)\n",
+    "\n",
+    "    σ_spitzer = 1.9012e4 .* Te.^1.5 ./\n",
+    "                (Zeff .* NZ(Zeff) .* lnΛe)\n",
+    "\n",
+    "    # Redl 2021, Eq. 18\n",
+    "    f33teff = fT ./ (\n",
+    "        1 .+\n",
+    "        0.25 .* (1 .- 0.7 .* fT) .* sqrt.(νe_star) .*\n",
+    "        (1 .+ 0.45 .* sqrt.(Zeff .- 1)) .+\n",
+    "        0.61 .* (1 .- 0.41 .* fT) .* νe_star ./ sqrt.(Zeff)\n",
+    "    )\n",
+    "\n",
+    "    # Redl 2021, Eq. 17\n",
+    "    F33 = 1 .-\n",
+    "          (1 .+ 0.21 ./ Zeff) .* f33teff .+\n",
+    "          0.54 ./ Zeff .* f33teff.^2 .-\n",
+    "          0.33 ./ Zeff .* f33teff.^3\n",
+    "\n",
+    "    σ_neo = σ_spitzer .* F33\n",
+    "\n",
+    "    return σ_neo, σ_spitzer\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "function calc_resistivity_P(chi, ne, Te, Zeff, q, eps, R, fT, volume;\n",
+    "                            model=:neoclassical)\n",
+    "    cond = neoclassical_conductivity(\n",
+    "        Te=Te,\n",
+    "        ne=ne,\n",
+    "        Ti=Te,\n",
+    "        Zeff=Zeff,\n",
+    "        q=q,\n",
+    "        eps=eps,\n",
+    "        R=R,\n",
+    "        fT=fT,\n",
+    "        volume=volume,\n",
+    "        version=:neo_2021,\n",
+    "    )\n",
+    "\n",
+    "    σ = model == :neoclassical ?\n",
+    "        cond.neoclassical_conductivity :\n",
+    "        cond.spitzer_conductivity\n",
+    "\n",
+    "    η = 1 ./ σ\n",
+    "    P = (4π * 1e-7) .* abs.(chi) ./ η\n",
+    "\n",
+    "    return η, P\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "σ_neo, σ_spitzer = neoclassical_conductivity(\n",
+    "    Te_eV,\n",
+    "    ne_sel,\n",
+    "    Te_eV,       # Ti = Te\n",
+    "    qsing,\n",
+    "    eps_sel,\n",
+    "    R_sel,\n",
+    "    fT_sel;\n",
+    "    Zeff=zeff_sel,\n",
+    ")\n",
+    "\n",
+    "η_neo     = 1.0 ./ σ_neo\n",
+    "η_spitzer = 1.0 ./ σ_spitzer\n",
+    "\n",
+    "P = (4π * 1e-7) .* abs.(chi_sel) ./ η_neo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "σ_neo, σ_spitzer = neoclassical_conductivity(\n",
+    "    106.211805100300,      # Te [eV]\n",
+    "    1.005827348013049e19,  # ne [m^-3]\n",
+    "    106.211805100300,      # Ti [eV]\n",
+    "    6.00000000000048,      # q\n",
+    "    0.771873939341347 / 1.74333594120074,  # eps = rs / R0\n",
+    "    1.74333594120074,      # R [m]\n",
+    "    1, #fT;                    # trapped fraction\n",
+    "    1.80427095488192, # Zeff\n",
+    ")\n",
+    "\n",
+    "η_neo     = 1.0 ./ σ_neo\n",
+    "η_spitzer = 1.0 ./ σ_spitzer\n",
+    "\n",
+    "chi_sel = 1\n",
+    "\n",
+    "P = (4π * 1e-7) .* abs.(chi_sel) ./ η_neo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using LinearAlgebra # or relevant module providing neoclassical_conductivity\n",
+    "\n",
+    "# --- Set 1 Inputs (5 radial points) ---\n",
+    "Te_eV   = [718.04269217, 342.58020426, 188.39435197, 95.70267912, 44.04668565] # Te and Ti [eV]\n",
+    "ne_sel  = [1.98796958e19, 1.80371630e19, 1.55527262e19, 1.23649097e19, 8.97867646e18] # ne [m^-3]\n",
+    "zeff_sel = [1.65619282, 1.64427584, 1.58198407, 1.55990923, 1.68572562] # Zeff\n",
+    "qsing   = [2.0, 3.0, 4.0, 5.0, 6.0] # q\n",
+    "eps_sel = [0.22284171, 0.28956909, 0.32302672, 0.34432513, 0.35141583] # eps = r/R\n",
+    "R_sel   = [1.72151657, 1.70693349, 1.69832026, 1.69192129, 1.68947514] # R [m]\n",
+    "fT_sel  = [0.6127298, 0.66890766, 0.68553652, 0.68355803, 0.67414449] # Trapped fraction fT\n",
+    "\n",
+    "# Reference values from Python NCLASS run (for validation)\n",
+    "py_neo     = [7683580.66632273, 3011088.07938057, 1644303.89021149, 782055.27991453, 274193.4323623]\n",
+    "py_spitzer = [16324797.88300323, 5666135.22162908, 2468477.31865855, 941040.7938515, 290205.76181926]\n",
+    "\n",
+    "# --- Run Neoclassical Conductivity in Julia ---\n",
+    "# Broadcasting across all 5 radial positions:\n",
+    "σ_neo, σ_spitzer = neoclassical_conductivity.(\n",
+    "    Te_eV,    # Te [eV]\n",
+    "    ne_sel,   # ne [m^-3]\n",
+    "    Te_eV,    # Ti [eV] (assumed Ti = Te)\n",
+    "    qsing,    # q\n",
+    "    eps_sel,  # eps\n",
+    "    R_sel,    # R [m]\n",
+    "    fT_sel,   # trapped fraction fT\n",
+    "    zeff_sel  # Zeff\n",
+    ")\n",
+    "\n",
+    "# Collect tuple outputs into a vector of tuples\n",
+    "results = [\n",
+    "    neoclassical_conductivity(\n",
+    "        Te_eV[i], ne_sel[i], Te_eV[i], qsing[i], \n",
+    "        eps_sel[i], R_sel[i], fT_sel[i], zeff_sel[i]\n",
+    "    ) for i in 1:length(Te_eV)\n",
+    "]\n",
+    "\n",
+    "# Extract σ_neo (1st element) and σ_spitzer (2nd element)\n",
+    "σ_neo     = getindex.(results, 1)\n",
+    "σ_spitzer = getindex.(results, 2)\n",
+    "\n",
+    "η_neo     = 1.0 ./ σ_neo\n",
+    "η_spitzer = 1.0 ./ σ_spitzer\n",
+    "\n",
+    "chi_sel = 1\n",
+    "P = (4π * 1e-7) .* abs.(chi_sel) ./ η_neo\n",
+    "\n",
+    "\n",
+    "# --- Comparison Printouts ---\n",
+    "println(\"=== Neoclassical Conductivity Comparison ===\")\n",
+    "for i in 1:length(Te_eV)\n",
+    "    println(\"Point $i (q=$(qsing[i])):\")\n",
+    "    println(\"  Julia σ_neo     : \", σ_neo[i])\n",
+    "    println(\"  Python σ_neo    : \", py_neo[i])\n",
+    "    println(\"  Julia σ_spitzer : \", σ_spitzer[i])\n",
+    "    println(\"  Python σ_spitzer: \", py_spitzer[i])\n",
+    "    println(\"  P (magnetic diff): \", P[i])\n",
+    "    println()\n",
+    "end"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb
index 528ca4934..5f9dfac2a 100644
--- a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb	
+++ b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb	
@@ -132,7 +132,7 @@
     "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
     "    p,\n",
     "    0.5,\n",
-    "    61.0, #1.0\n",
+    "    p.P_tor,\n",
     "    p.lu,\n",
     "    p.sval_r\n",
     ")"
@@ -162,7 +162,7 @@
     "Qmi = -10\n",
     "Qma = 10\n",
     "\n",
-    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qmi, Qmax=Qma, n=10000)\n",
+    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qmi, Qmax=Qma, n=100)\n",
     "\n",
     "println(\"Qpeak = \", Qpeak)\n",
     "println(\"maxbal = \", maximum(bal_positive))\n",
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb
index 329e9dd53..d7f16a2b4 100644
--- a/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb	
+++ b/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb	
@@ -61,30 +61,81 @@
     "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ\n",
     "end\n",
     "\n",
-    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)\n",
+    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=20000)\n",
     "    Qs = range(Qmin, Qmax; length=n)\n",
     "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
     "    bal = [x[1] for x in torque_out]\n",
     "    Δs = [x[2] for x in torque_out]\n",
-    "    #bal = [torque_balance_value(tb, q) for q in Qs]\n",
     "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
     "\n",
     "    if !any(positive)\n",
-    "        return Qs, bal, NaN, NaN, 0.0, NaN, NaN, Δs\n",
+    "        @warn \"No positive torque balance found in the specified range. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
+    "        return Qs, bal, NaN, NaN, NaN, Δs\n",
     "    end\n",
     "\n",
-    "    i = argmax(bal)\n",
-    "    Qpeak_ind = i\n",
-    "    Qs_positive = Qs[positive]\n",
-    "    bal_positive = bal[positive]\n",
+    "    # Find the highest point, then remove candidates within ΔQ of it.\n",
     "\n",
+    "    idx_maxima = findall(isfinite.(bal) .& (bal .> 0))\n",
+    "    sort!(idx_maxima, by=i -> bal[i], rev=true)\n",
+    "    selected = Int[]\n",
+    "    min_ΔQ = 0.001 * abs(Qmax - Qmin)\n",
     "\n",
+    "    for i in idx_maxima\n",
+    "        if all(abs(Qs[i] - Qs[j]) > min_ΔQ for j in selected)\n",
+    "            push!(selected, i)\n",
+    "        end\n",
+    "        length(selected) == 2 && break\n",
+    "    end\n",
+    "\n",
+    "    if isempty(selected)\n",
+    "        @warn \"No usable positive torque-balance maximum found. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
+    "        return Qs, bal, NaN, NaN, NaN, Δs\n",
+    "    end\n",
+    "\n",
+    "    idx_maxima = selected\n",
+    "\n",
+    "\n",
+    "    # Find all local maxima in the positive region\n",
+    "    #idx_positive = findall(positive)\n",
+    "    #idx_maxima = idx_positive[partialsortperm(bal[idx_positive], 1:min(2, length(idx_positive)); rev=true)]\n",
+    "    maxima = bal[idx_maxima]\n",
+    "    Qs_maxima = Qs[idx_maxima]\n",
+    "    # find index, q val and bal val of the q closest to Q_e\n",
+    "    idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e)) # + Q_e since Q_e = -omega_e * Qconv\n",
+    "    q_closest_Q_e = Qs[idx_closest_Q_e]\n",
+    "    bal_closest_Q_e = bal[idx_closest_Q_e]\n",
+    "\n",
+    "    # find index, q val and bal val of the q closest to Q_i\n",
+    "    idx_closest_Q_i = argmin(abs.(Qs .+ tb.params.Q_i)) # + Q_i since Q_i = -omega_i * Qconv\n",
+    "    q_closest_Q_i = Qs[idx_closest_Q_i]\n",
+    "    bal_closest_Q_i = bal[idx_closest_Q_i]\n",
     "    \n",
-    "    Qpeak = Qs_positive[i]\n",
-    "    maxbal = bal_positive[i]\n",
+    "    println(\"Local maxima indices: \", idx_maxima, \" with values: \", maxima, \" and corresponding Qs: \", Qs_maxima, \" closest Q to Q_e: \", q_closest_Q_e, \" closest Q to Q_i: \", q_closest_Q_i)\n",
+    "    # check if 1st q_maxima is same as Q_e or Q_i from p\n",
+    "    if idx_maxima[1] == idx_closest_Q_e || idx_maxima[1] == idx_closest_Q_i\n",
+    "        if length(idx_maxima) < 2\n",
+    "            @warn \"The first local maximum corresponds to a pole from Q_e or Q_i, but there is no second local maximum to select. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
+    "            return Qs, bal, NaN, NaN, NaN, Δs\n",
+    "        end\n",
+    "        println(\"Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.\")\n",
+    "        if idx_maxima[2] == idx_closest_Q_e || idx_maxima[2] == idx_closest_Q_i\n",
+    "            @warn \"Both the first and second local maxima correspond to poles from Q_e or Q_i. Unable to select a valid local maximum. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
+    "            return Qs, bal, NaN, NaN, NaN, Δs\n",
+    "        end\n",
+    "        idx_maximum = idx_maxima[2]\n",
+    "        maximum = bal[idx_maximum]\n",
+    "        Qmaximum = Qs[idx_maximum]\n",
+    "    else\n",
+    "        idx_maximum = idx_maxima[1]\n",
+    "        maximum = bal[idx_maximum]\n",
+    "        Qmaximum = Qs[idx_maximum]\n",
+    "    end\n",
+    "\n",
+    "    println(\"Selected local maximum index: \", idx_maximum, \" with value: \", maximum, \" and corresponding Q: \", Qmaximum)\n",
     "\n",
-    "    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
-    "    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs\n",
+    "    br_crit = sqrt(maximum / tb.lu * (tb.sval^2 / 2.0))\n",
+    "\n",
+    "    return Qs, bal, Qmaximum, br_crit, idx_maximum, Δs\n",
     "end"
    ]
   },
@@ -131,9 +182,97 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "Qs, bal, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=-2.5, Qmax=0, n=200000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Qmax = 10\n",
+    "Qmin = -10\n",
+    "positive = isfinite.(bal) .& (bal .> 0.0)\n",
+    "\n",
+    "if !any(positive)\n",
+    "    @warn \"No positive torque balance found in the specified range. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
+    "    return Qs, bal, NaN, NaN, NaN, Δs\n",
+    "end\n",
+    "\n",
+    "# Find the highest point, then remove candidates within ΔQ of it.\n",
+    "\n",
+    "idx_maxima = findall(isfinite.(bal) .& (bal .> 0))\n",
+    "sort!(idx_maxima, by=i -> bal[i], rev=true)\n",
+    "selected = Int[]\n",
+    "min_ΔQ = 0.001 * abs(Qmax - Qmin)\n",
+    "\n",
+    "for i in idx_maxima\n",
+    "    if all(abs(Qs[i] - Qs[j]) > min_ΔQ for j in selected)\n",
+    "        push!(selected, i)\n",
+    "    end\n",
+    "    length(selected) == 2 && break\n",
+    "end\n",
+    "\n",
+    "if isempty(selected)\n",
+    "    @warn \"No usable positive torque-balance maximum found. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
+    "    return Qs, bal, NaN, NaN, NaN, Δs\n",
+    "end\n",
     "\n",
-    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=-2.5, Qmax=0, n=20000)\n",
+    "idx_maxima = selected\n",
     "\n",
+    "\n",
+    "# Find all local maxima in the positive region\n",
+    "#idx_positive = findall(positive)\n",
+    "#idx_maxima = idx_positive[partialsortperm(bal[idx_positive], 1:min(2, length(idx_positive)); rev=true)]\n",
+    "maxima = bal[idx_maxima]\n",
+    "Qs_maxima = Qs[idx_maxima]\n",
+    "# find index, q val and bal val of the q closest to Q_e\n",
+    "idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e)) # + Q_e since Q_e = -omega_e * Qconv\n",
+    "q_closest_Q_e = Qs[idx_closest_Q_e]\n",
+    "bal_closest_Q_e = bal[idx_closest_Q_e]\n",
+    "\n",
+    "# find index, q val and bal val of the q closest to Q_i\n",
+    "idx_closest_Q_i = argmin(abs.(Qs .+ tb.params.Q_i)) # + Q_i since Q_i = -omega_i * Qconv\n",
+    "q_closest_Q_i = Qs[idx_closest_Q_i]\n",
+    "bal_closest_Q_i = bal[idx_closest_Q_i]\n",
+    "\n",
+    "println(\"Local maxima indices: \", idx_maxima, \" with values: \", maxima, \" and corresponding Qs: \", Qs_maxima, \" closest Q to Q_e: \", q_closest_Q_e, \" closest Q to Q_i: \", q_closest_Q_i)\n",
+    "# check if 1st q_maxima is same as Q_e or Q_i from p\n",
+    "if idx_maxima[1] == idx_closest_Q_e || idx_maxima[1] == idx_closest_Q_i\n",
+    "    if length(idx_maxima) < 2\n",
+    "        @warn \"The first local maximum corresponds to a pole from Q_e or Q_i, but there is no second local maximum to select. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
+    "        return Qs, bal, NaN, NaN, NaN, Δs\n",
+    "    end\n",
+    "    println(\"Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.\")\n",
+    "    if idx_maxima[2] == idx_closest_Q_e || idx_maxima[2] == idx_closest_Q_i\n",
+    "        @warn \"Both the first and second local maxima correspond to poles from Q_e or Q_i. Unable to select a valid local maximum. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
+    "        return Qs, bal, NaN, NaN, NaN, Δs\n",
+    "    end\n",
+    "    idx_maximum = idx_maxima[2]\n",
+    "    maximum = bal[idx_maximum]\n",
+    "    Qmaximum = Qs[idx_maximum]\n",
+    "else\n",
+    "    idx_maximum = idx_maxima[1]\n",
+    "    maximum = bal[idx_maximum]\n",
+    "    Qmaximum = Qs[idx_maximum]\n",
+    "end\n",
+    "\n",
+    "println(\"Selected local maximum index: \", idx_maximum, \" with value: \", maximum, \" and corresponding Q: \", Qmaximum)\n",
+    "\n",
+    "br_crit = sqrt(maximum / tb.lu * (tb.sval^2 / 2.0))\n",
+    "\n",
+    "println(Qmaximum, br_crit, idx_maximum)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
     "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for q in Qs] #(q, jxb) in zip(Qs, jxbs)]\n",
     "#br_t = brcrit\n",
@@ -174,13 +313,27 @@
     "ylabel!(p2, \"Torque\")\n",
     "#title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
     "\n",
-    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2, xlim=(xmi, xma))\n",
+    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2, xlim=(xmi, xma)) #xlim=(-1.3,-.8),ylim=(375,389))#\n",
     "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "loc_max_ind= [4001, 10050, 10094, 10186, 10195, 10213, 10258, 10272, 10340, 10355, 10365, 10376, 10385, 10387, 10392, 10405, 10412, 10421, 10430, 10443, 10450, 10457, 10470, 10473, 10494, 10498, 10512, 10520, 10537, 10544, 10552, 10557, 10573, 10576, 10578, 10586, 10588, 10596, 10606, 10610, 10632, 10637, 10648, 10655, 10659, 10665, 10670, 10676, 10679, 10691, 10695, 10697, 10705, 10707, 10719, 10730, 10742, 10746, 10751, 10755, 10761, 10765, 10770, 10776, 10778, 10783, 10786, 10788, 10793, 10798, 10810, 10814, 10821, 10824, 10829, 10834, 10837, 10841, 10843, 10847, 10849, 10856, 10858, 10861, 10863, 10868, 10871, 10877, 10881, 10887, 10892, 10895, 10897, 10900, 10904, 10906, 10909, 10911, 10916, 10918, 10923, 10929, 10931, 10933, 10937, 10942, 10945, 10950, 10955, 10959, 10963, 10969, 10971, 10974, 10976, 10981, 10984, 10988, 10991, 10994, 10997, 11001, 11003, 11005, 11012, 11015, 11018, 11021, 11024, 11027, 11029, 11031, 11033, 11036, 11039, 11042, 11044, 11048, 11053, 11056, 11058, 11060, 11062, 11064, 11068, 11078, 11080, 11083, 11085, 11096, 11098, 11100, 11102, 11104, 11106, 11109, 11111, 11116, 11119, 11121, 11128, 11131, 11133, 11139, 11145, 11148, 11150, 11152, 11155, 11157, 11162, 11165, 11169, 11174, 11180, 11183, 11186, 11188, 11205, 11218, 11220, 11222, 11224, 11228, 11233, 11235, 11243, 11249, 11254, 11257, 11259, 11276, 11281, 11294, 11299, 11303, 11306, 11312, 11316, 11319, 11322, 11335, 11341, 11358, 11369, 11376, 11381, 11386, 11391, 11394, 11396, 11399, 11406, 11410, 11417, 11420, 11422, 11428, 11437, 11446, 11448, 11453, 11457, 11469, 11473, 11486, 11497, 11513, 11540, 11542, 11544, 11552, 11554, 11565, 11570, 11573, 11578, 11587, 11594, 11597, 11602, 11614, 11620, 11633, 11654, 11660, 11662, 11669, 11677, 11682, 11687, 11711, 11764, 11804, 11806, 11821, 11848, 11860, 11882, 11901, 11928, 11991, 12108]\n",
+    "#plot!(p3, Qs[loc_max_ind], bal[loc_max_ind], seriestype=:scatter, label=\"Local Maxima\", color=:red)\n",
+    "loc_mx2 = [4001, 10963, 10955, 10950, 11005]\n",
+    "#plot!(p3, Qs[loc_mx2], bal[loc_mx2], seriestype=:scatter, label=\"Local Maxima 2\", color=:green)\n",
     "ylabel!(p3, \"Torque Balance\")\n",
     "#title!(p3, \"2P(Q0-Q)/jxb\")\n",
     "xlabel!(p3, \"Q\")\n",
     "vline!([Qpeak], label=\"Max Balance\", linestyle=:dash)\n",
     "\n",
+    "# find index, q val and bal val of the q closest to Q_e\n",
+    "println(\"Q_e: \", -tb.params.Q_e)\n",
+    "idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e))\n",
+    "q_closest_Q_e = Qs[idx_closest_Q_e]\n",
+    "bal_closest_Q_e = bal[idx_closest_Q_e]\n",
+    "println(\"Closest Q to Q_e: \", q_closest_Q_e, \" with balance value: \", bal_closest_Q_e, \" at index: \", idx_closest_Q_e)\n",
+    "println(\"B crit: \", brcrit)\n",
+    "vline!([-tb.params.Q_e], label=\"Q_e\", linestyle=:dashdot, color=:orange)\n",
+    "vline!([q_closest_Q_e], label=\"Closest Q to Q_e\", linestyle=:dashdot, color=:purple)\n",
+    "\n",
     "#plot(p1, p2, p3, layout=(3,1), size=(800, 1000))\n",
     "plot(p3, layout=(1,1), size=(800, 1000))"
    ]
@@ -188,20 +341,28 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5",
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8",
    "metadata": {},
    "outputs": [],
    "source": [
     "# compare Q_e to Q of max(bal)\n",
     "println(\"-Q_e = \", -p.Q_e, \" Q_i = \", p.Q_i, \" Q_peak = \", Qpeak, \" br_crit = \", brcrit)\n",
     "# check if |Qpeak+Q_e| < 1e-2\n",
-    "println(\"|Qpeak + Q_e| = \", abs(Qpeak + p.Q_e))"
+    "println(\"|Qpeak + Q_e| = \", abs(Qpeak + p.Q_e))\n"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6",
+   "id": "9",
    "metadata": {},
    "outputs": [],
    "source": [
diff --git a/src/Tearing/CriticalResonantField/TorqueBalance.jl b/src/Tearing/CriticalResonantField/TorqueBalance.jl
index fbafddc4a..cd74535ea 100644
--- a/src/Tearing/CriticalResonantField/TorqueBalance.jl
+++ b/src/Tearing/CriticalResonantField/TorqueBalance.jl
@@ -55,7 +55,7 @@ Returns the Q values, torque balance values, positive Q values, positive torque
 the Q value at the peak, the critical resonant field, the index of the peak Q value, and the Δ values for each Q.
 """
 
-function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)
+function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=20000)
     Qs = range(Qmin, Qmax; length=n)
     torque_out = [torque_balance_value(tb, q) for q in Qs]
     bal = [x[1] for x in torque_out]
@@ -63,24 +63,78 @@ function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)
     positive = isfinite.(bal) .& (bal .> 0.0)
 
     if !any(positive)
-        return Qs, bal, [0.0], [0.0], 0.0, 0.0, NaN, Δs
+        @warn "No positive torque balance found in the specified range. Try increasing the number of Q samples scanned or adjusting the range."
+        return Qs, bal, NaN, NaN, NaN, Δs
     end
-    i = argmax(bal)
-    Qpeak_ind = i
-    Qpeak = Qs[i]
-    maxbal = bal[i]
 
-    Qs_positive = Qs[positive]
-    bal_positive = bal[positive]
+    # Find the highest point, then remove candidates within ΔQ of it.
+    idx_maxima = findall(isfinite.(bal) .& (bal .> 0))
+    sort!(idx_maxima; by=i -> bal[i], rev=true)
+    selected = Int[]
+    min_ΔQ = 0.001 * abs(Qmax - Qmin)
 
-    i = argmax(bal_positive)
-    #Qpeak = Qs_positive[i]
+    for i in idx_maxima
+        if all(abs(Qs[i] - Qs[j]) > min_ΔQ for j in selected)
+            push!(selected, i)
+        end
+        length(selected) == 2 && break
+    end
 
-    #maxbal = bal_positive[i]
+    if isempty(selected)
+        @warn "No usable positive torque-balance maximum found. Try increasing the number of Q samples scanned or adjusting the range."
+        return Qs, bal, NaN, NaN, NaN, Δs
+    end
 
-    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))
-    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs
-end
+    idx_maxima = selected
+    maxima = bal[idx_maxima]
+    Qs_maxima = Qs[idx_maxima]
+
+    # find index, q val and bal val of the q closest to Q_e
+    idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e)) # + Q_e since Q_e = -omega_e * Qconv
+    q_closest_Q_e = Qs[idx_closest_Q_e]
+    bal_closest_Q_e = bal[idx_closest_Q_e]
+
+    # find index, q val and bal val of the q closest to Q_i
+    idx_closest_Q_i = argmin(abs.(Qs .+ tb.params.Q_i)) # + Q_i since Q_i = -omega_i * Qconv
+    q_closest_Q_i = Qs[idx_closest_Q_i]
+    bal_closest_Q_i = bal[idx_closest_Q_i]
+
+    println(
+        "Local maxima indices: ",
+        idx_maxima,
+        " with values: ",
+        maxima,
+        " and corresponding Qs: ",
+        Qs_maxima,
+        " closest Q to Q_e: ",
+        q_closest_Q_e,
+        " closest Q to Q_i: ",
+        q_closest_Q_i
+    )
 
-# Need to fix and improve this function. The positive masking is not helpful.
-# Need to avoid poles from Q_e and Q_i.
+    # check if 1st q_maxima is same as Q_e or Q_i from p
+    if idx_maxima[1] == idx_closest_Q_e || idx_maxima[1] == idx_closest_Q_i
+        if length(idx_maxima) < 2
+            @warn "The first local maximum corresponds to a pole from Q_e or Q_i, but there is no second local maximum to select. Try increasing the number of Q samples scanned or adjusting the range."
+            return Qs, bal, NaN, NaN, NaN, Δs
+        end
+        println("Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.")
+        if idx_maxima[2] == idx_closest_Q_e || idx_maxima[2] == idx_closest_Q_i
+            @warn "Both the first and second local maxima correspond to poles from Q_e or Q_i. Unable to select a valid local maximum. Try increasing the number of Q samples scanned or adjusting the range."
+            return Qs, bal, NaN, NaN, NaN, Δs
+        end
+        idx_maximum = idx_maxima[2]
+        maximum = bal[idx_maximum]
+        Qmaximum = Qs[idx_maximum]
+    else
+        idx_maximum = idx_maxima[1]
+        maximum = bal[idx_maximum]
+        Qmaximum = Qs[idx_maximum]
+    end
+
+    println("Selected local maximum index: ", idx_maximum, " with value: ", maximum, " and corresponding Q: ", Qmaximum)
+
+    br_crit = sqrt(maximum / tb.lu * (tb.sval^2 / 2.0))
+
+    return Qs, bal, Qmaximum, br_crit, idx_maximum, Δs
+end
diff --git a/src/Tearing/Runner/Control.jl b/src/Tearing/Runner/Control.jl
index 88e8fe091..bbf297975 100644
--- a/src/Tearing/Runner/Control.jl
+++ b/src/Tearing/Runner/Control.jl
@@ -7,6 +7,41 @@
 #
 # `CriticalResonantFieldControl` holds the user-facing knobs that drive the critical resonant field
 # analysis. Populated either directly via the `@kwdef` constructor or by parsing the `[CriticalResonantField]` section of a `gpec.toml`.
+"""
+    CriticalResonantFieldControl
+
+Configuration for the critical resonant field analysis. All fields are
+user-facing: read from the `[CriticalResonantField]` TOML section of a `gpec.toml` via
+`critical_resonant_field_control_from_toml`, or built directly via the `@kwdef` keyword
+constructor.
+"""
+@kwdef struct CriticalResonantFieldControl
+    enabled::Bool = false
+    Qmin::Float64 = -10.0
+    Qmax::Float64 = 10.0
+    n::Int = 200
+    angular_momentum_diffusivity::Union{Float64,Vector{Float64}} = 1.0
+    store_scan::Bool = false
+end
+
+function critical_resonant_field_control_from_toml(section::AbstractDict)
+    flat = Dict{String,Any}()
+    for (k, v) in section
+        flat[k] = v
+    end
+
+    kwargs = Dict{Symbol,Any}()
+    for (k, v) in flat
+        sym = Symbol(k)
+        if sym in (:inner_model,)
+            kwargs[sym] = v isa Symbol ? v : Symbol(String(v))
+        else
+            kwargs[sym] = v
+        end
+    end
+
+    return CriticalResonantFieldControl(; kwargs...)
+end
 
 """
     SLAYERControl
@@ -158,6 +193,9 @@ there is one consistent interface for resistive and kinetic profiles.
     profile_group::String = "/"
 
     store_scan::Bool = false
+
+    # Critical resonant field analysis. Enabled via `[SLAYER.CriticalResonantField]` TOML section.
+    critical_resonant_field::CriticalResonantFieldControl = CriticalResonantFieldControl()
 end
 
 const _VALID_INNER_MODELS = (:slayer_fitzpatrick, :ggj_shooting, :ggj_galerkin)
@@ -227,6 +265,10 @@ function slayer_control_from_toml(section::AbstractDict)
             haskey(v, "pole_threshold") && (flat["pole_threshold"] = v["pole_threshold"])
             haskey(v, "filter_above_poles") && (flat["filter_above_poles"] = v["filter_above_poles"])
             haskey(v, "filter_outside_re") && (flat["filter_outside_re"] = v["filter_outside_re"])
+        elseif k == "CriticalResonantField" && v isa AbstractDict
+            flat["critical_resonant_field"] =
+                critical_resonant_field_control_from_toml(v)
+
         else
             flat[k] = v
         end
@@ -271,41 +313,3 @@ function slayer_control_from_toml(section::AbstractDict)
     end
     return validate(SLAYERControl(; kwargs...))
 end
-
-"""
-    CriticalResonantFieldControl
-
-Configuration for the critical resonant field analysis. All fields are
-user-facing: read from the `[CriticalResonantField]` TOML section of a `gpec.toml` via
-`critical_resonant_field_control_from_toml`, or built directly via the `@kwdef` keyword
-constructor.
-"""
-@kwdef struct CriticalResonantFieldControl
-    enabled::Bool = false
-    inner_model::Symbol = :slayer_fitzpatrick
-    Qmin::Float64 = -10.0
-    Qmax::Float64 = 10.0
-    n::Int = 200
-    profile_file::String = ""
-    profile_group::String = "/"
-    store_scan::Bool = false
-end
-
-function critical_resonant_field_control_from_toml(section::AbstractDict)
-    flat = Dict{String,Any}()
-    for (k, v) in section
-        flat[k] = v
-    end
-
-    kwargs = Dict{Symbol,Any}()
-    for (k, v) in flat
-        sym = Symbol(k)
-        if sym in (:inner_model,)
-            kwargs[sym] = v isa Symbol ? v : Symbol(String(v))
-        else
-            kwargs[sym] = v
-        end
-    end
-
-    return CriticalResonantFieldControl(; kwargs...)
-end
diff --git a/src/Tearing/Runner/HDF5Output.jl b/src/Tearing/Runner/HDF5Output.jl
index 006f2d079..2ae545211 100644
--- a/src/Tearing/Runner/HDF5Output.jl
+++ b/src/Tearing/Runner/HDF5Output.jl
@@ -38,6 +38,10 @@ function write_slayer_hdf5!(parent::Union{HDF5.File,HDF5.Group},
     # disjoint field sets, so readers must not have to infer it from the schema.
     attrs(g)["layer_model"] = result.enabled ? _layer_model_token(eltype(result.params)) : "none"
 
+    if result.critical_resonant_field.enabled
+        write_critical_resonant_field_hdf5!(g, result.critical_resonant_field)
+    end
+
     if !result.enabled    # nothing else to write
         _annotate_tearing!(g)
         return g
@@ -60,10 +64,7 @@ end
 function write_critical_resonant_field_hdf5!(parent::Union{HDF5.File,HDF5.Group},
     result::CriticalResonantFieldResult)
 
-    if !haskey(parent, "Tearing")
-        create_group(parent, "Tearing")
-    end
-    g = create_group(parent["Tearing"], "CriticalResonantField")
+    g = create_group(parent, "CriticalResonantField")
 
     g["surface_index"] = result.surface_index
     g["Qpeak"] = result.Qpeak
@@ -78,8 +79,6 @@ function write_critical_resonant_field_hdf5!(parent::Union{HDF5.File,HDF5.Group}
             sg["Q"] = d.Q
             sg["balance"] = d.balance
             sg["delta"] = d.delta
-            sg["Q_positive"] = d.Q_positive
-            sg["balance_positive"] = d.balance_positive
             sg["Qpeak"] = d.Qpeak
             sg["br_crit"] = d.br_crit
 
diff --git a/src/Tearing/Runner/Result.jl b/src/Tearing/Runner/Result.jl
index 9132e8421..df68bb868 100644
--- a/src/Tearing/Runner/Result.jl
+++ b/src/Tearing/Runner/Result.jl
@@ -8,6 +8,37 @@
 # per-surface critical resoant field. If `control.store_scan` is true, the full Q scan data,
 # viscous torque, and electromagnetic torque are also stored for plotting.
 
+"""
+    CriticalResonantFieldResult
+
+Output of `run_critical_resonant_field`. Carries both summary critical resonant field values and if `control.store_scan` is true, the full Q scan data, viscous torque, and electromagnetic torque for plotting.
+"""
+
+struct CriticalResonantFieldResult
+    enabled::Bool
+    params::AbstractVector{<:InnerLayerParameters}
+    surface_index::Vector{Int}
+    Qpeak::Vector{Float64}
+    br_crit::Vector{Float64}
+    Q0::Vector{Float64}
+    P::Vector{Float64}
+    scan_data::Vector{NamedTuple}
+end
+
+function empty_critical_resonant_field_result()
+    return CriticalResonantFieldResult(
+        false,
+        InnerLayerParameters[],
+        Int[],
+        Float64[],
+        Float64[],
+        Float64[],
+        Float64[],
+        NamedTuple[]
+    )
+end
+
+
 """
     SLAYERResult
 
@@ -55,46 +86,18 @@ struct SLAYERResult
     coupled_extraction::Union{Nothing,GrowthRateResult}
     layer_widths::Vector{LayerWidths}
     scan_data::Vector{Union{ScanResult,AMRResult}}
+    critical_resonant_field::CriticalResonantFieldResult
 end
 
 # Empty result (enabled=false path)
 function empty_slayer_result(control::SLAYERControl)
     return SLAYERResult(false, control,
-                        SLAYERParameters[],
-                        Float64[], Float64[],
-                        zeros(ComplexF64, 0, 0),
-                        ComplexF64[], Float64[], Float64[],
-                        GrowthRateResult[], nothing,
-                        LayerWidths[],
-                        Union{ScanResult,AMRResult}[])
-end
-
-"""
-    CriticalResonantFieldResult
-
-Output of `run_critical_resonant_field`. Carries both summary critical resonant field values and if `control.store_scan` is true, the full Q scan data, viscous torque, and electromagnetic torque for plotting.
-"""
-
-struct CriticalResonantFieldResult
-    enabled::Bool
-    params::AbstractVector{<:InnerLayerParameters}
-    surface_index::Vector{Int}
-    Qpeak::Vector{Float64}
-    br_crit::Vector{Float64}
-    Q0::Vector{Float64}
-    P::Vector{Float64}
-    scan_data::Vector{NamedTuple}
-end
-
-function empty_critical_resonant_field_result()
-    return CriticalResonantFieldResult(
-        false,
-        InnerLayerParameters[],
-        Int[],
-        Float64[],
-        Float64[],
-        Float64[],
-        Float64[],
-        NamedTuple[]
-    )
+        SLAYERParameters[],
+        Float64[], Float64[],
+        zeros(ComplexF64, 0, 0),
+        ComplexF64[], Float64[], Float64[],
+        GrowthRateResult[], nothing,
+        LayerWidths[],
+        Union{ScanResult,AMRResult}[],
+        empty_critical_resonant_field_result())
 end
diff --git a/src/Tearing/Runner/Runner.jl b/src/Tearing/Runner/Runner.jl
index 6f11208a7..2d45b3d54 100644
--- a/src/Tearing/Runner/Runner.jl
+++ b/src/Tearing/Runner/Runner.jl
@@ -27,6 +27,7 @@ using LinearAlgebra
 using Statistics: mean, median
 using HDF5
 
+
 using FastInterpolations: cubic_interp
 using ..Utilities
 using ..Utilities: KineticProfiles
diff --git a/src/Tearing/Runner/run_slayer.jl b/src/Tearing/Runner/run_slayer.jl
index 3d51d4a11..9f1a686d1 100644
--- a/src/Tearing/Runner/run_slayer.jl
+++ b/src/Tearing/Runner/run_slayer.jl
@@ -314,7 +314,7 @@ function run_slayer_from_inputs(params::AbstractVector{<:InnerLayerParameters},
     return SLAYERResult(true, control, params, rational_psi, rational_q, dp,
         Q_root, omega_Hz, gamma_Hz,
         per_surface_extraction, coupled_extraction,
-        layer_widths, scan_data_list)
+        layer_widths, scan_data_list, empty_critical_resonant_field_result())
 end
 
 # ---------------------------------------------------------------------
@@ -346,6 +346,115 @@ function ggj_inner_deltas(params::AbstractVector{GGJParameters}, Q::Number;
     end
     return out
 end
+# ---------------------------------------------------------------------
+# Critical Resonant Field (Torque-Balance) Workflow
+# ---------------------------------------------------------------------
+"""
+    Critical Resonant Field (Torque-Balance) Workflow
+
+    The critical resonant field is the minimum resonant magnetic perturbation
+    amplitude that can drive a tearing mode unstable.
+
+    Returns a `CriticalResonantFieldResult` containing the critical resonant field
+    and the corresponding critical resoannt field values for each rational surface.
+"""
+
+function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_result=nothing, profiles=nothing)
+    ctrl.enabled || return empty_critical_resonant_field_result()
+
+    profiles === nothing &&
+        throw(ArgumentError(
+            "CriticalResonantField requires kinetic profiles."
+        ))
+
+    params = if slayer_result !== nothing && slayer_result.enabled && !isempty(slayer_result.params)
+        slayer_result.params
+    else
+        throw(ArgumentError("CriticalResonantField requires SLAYERParameters; run SLAYER first or provide compatible params."))
+    end
+
+    all(p -> p isa SLAYERParameters, params) ||
+        throw(ArgumentError("CriticalResonantField requires SLAYERParameters; run SLAYER first or provide compatible params."))
+
+    surface_index = Int[]
+    Qpeak_vec = Float64[]
+    br_vec = Float64[]
+    Q0_vec = Float64[]
+    P_vec = Float64[]
+    scan_data = NamedTuple[]
+    # check if angular_momentum_diffusivity is list or value
+
+    if isa(ctrl.angular_momentum_diffusivity, AbstractArray)
+        chi_vec = ctrl.angular_momentum_diffusivity
+    else
+        chi_vec = fill(ctrl.angular_momentum_diffusivity, length(params))
+    end
+
+    for (isurf, p) in enumerate(params)
+        psi_here = intr[isurf].psifac
+        omega_here = profiles(psi_here).omega
+        Q0_here = p.tauk * omega_here
+        eta_here = p.eta # resistivity at the rational surface
+        chi_here = chi_vec[isurf] # angular momentum diffusivity at the rational surface
+
+        # Note, P = τ_R / τ_V (Cole PoP 2006), τ_R = μ₀ r_s² / η, τ_V = ρ r_s² / μ
+        # Therefore, P = τ_R / τ_V = μ₀ μ / (η ρ), and with χ_φ = μ / ρ, P = μ₀ χ_φ / η
+
+        P_here = (4π * 1e-7) .* abs.(chi_here) ./ eta_here
+
+        if P_here < 1
+            @warn("CriticalResonantField: P < 1 at surface $isurf (P = $P_here). The model is invalid for P < 1.")
+        end
+
+        tb = TorqueBalance(
+            SLAYERModel{:fitzpatrick}(),
+            p,
+            Q0_here,
+            P_here,
+            p.lu,
+            p.sval_r
+        )
+
+        Qs, bal, Qpeak, br_crit, Qpeak_ind, Δs =
+            torque_balance_scan(tb; Qmin=ctrl.Qmin, Qmax=ctrl.Qmax, n=ctrl.n)
+
+        push!(surface_index, isurf)
+        push!(Qpeak_vec, Qpeak)
+        push!(br_vec, br_crit)
+        push!(Q0_vec, Q0_here)
+        push!(P_vec, P_here)
+
+        scan_entry = (
+            surface=isurf,
+            Q=collect(Qs),
+            balance=collect(bal),
+            delta=collect(Δs),
+            Qpeak=Qpeak,
+            br_crit=br_crit,
+            Q0=Q0_here,
+            P=P_here,
+            lu=p.lu,
+            sval=p.sval_r,
+            m=p.m,
+            n=p.n,
+            params=p
+        )
+        push!(scan_data, scan_entry)
+
+    end
+
+    return CriticalResonantFieldResult(
+        true,
+        params,
+        surface_index,
+        Qpeak_vec,
+        br_vec,
+        Q0_vec,
+        P_vec,
+        scan_data
+    )
+end
+
 
 # ---------------------------------------------------------------------
 # Full pipeline: equilibrium + ForceFreeStates → parameters → analysis
@@ -453,96 +562,30 @@ function run_slayer(equil, surfaces::AbstractVector, delta_prime_matrix::Abstrac
 
     rational_psi = Float64[surfaces[p.ising].psifac for p in params]
     rational_q = Float64[surfaces[p.ising].q for p in params]
-    return run_slayer_from_inputs(params, dp, control; rational_psi=rational_psi, rational_q=rational_q)
-end
-
-# ---------------------------------------------------------------------
-# Critical Resonant Field (Torque-Balance) Workflow
-# ---------------------------------------------------------------------
-"""
-    Critical Resonant Field (Torque-Balance) Workflow
-
-    The critical resonant field is the minimum resonant magnetic perturbation
-    amplitude that can drive a tearing mode unstable.
-
-    Returns a `CriticalResonantFieldResult` containing the critical resonant field
-    and the corresponding critical resoannt field values for each rational surface.
-"""
-
-function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_result=nothing)
-    ctrl.enabled || return empty_critical_resonant_field_result()
-
-    profiles = load_kinetic_profiles(joinpath(dir_path, ctrl.profile_file))
-
-    params = if slayer_result !== nothing && slayer_result.enabled && !isempty(slayer_result.params)
-        slayer_result.params
-    else
-        build_slayer_inputs(equil, intr.sing, profiles)
-    end
-
-    all(p -> p isa SLAYERParameters, params) ||
-        throw(ArgumentError("CriticalResonantField requires SLAYERParameters; run SLAYER first or provide compatible params."))
-
-    surface_index = Int[]
-    Qpeak_vec = Float64[]
-    br_vec = Float64[]
-    Q0_vec = Float64[]
-    P_vec = Float64[]
-    scan_data = NamedTuple[]
-
-    for (isurf, p) in enumerate(params)
-        psi_here = intr.sing[isurf].psifac
-        omega_here = profiles(psi_here).omega
-        Q0_here = p.tauk * omega_here
-        P_here = 1.0
-
-        tb = TorqueBalance(
-            SLAYERModel{:fitzpatrick}(),
-            p,
-            Q0_here,
-            P_here,
-            p.lu,
-            p.sval_r
+    # include critical resonant filed workflow here
+    if control.critical_resonant_field.enabled
+        slayer_result = run_slayer_from_inputs(params, dp, control; rational_psi=rational_psi, rational_q=rational_q)
+        crf_result = run_critical_resonant_field(equil, surfaces, control.critical_resonant_field;
+            dir_path=dir_path, slayer_result=slayer_result, profiles=profiles)
+        combined_result = SLAYERResult(
+            slayer_result.enabled,
+            slayer_result.control,
+            slayer_result.params,
+            slayer_result.rational_psi,
+            slayer_result.rational_q,
+            slayer_result.dp_matrix,
+            slayer_result.Q_root,
+            slayer_result.omega_Hz,
+            slayer_result.gamma_Hz,
+            slayer_result.per_surface_extraction,
+            slayer_result.coupled_extraction,
+            slayer_result.layer_widths,
+            slayer_result.scan_data,
+            crf_result
         )
-
-        Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs =
-            torque_balance_scan(tb; Qmin=ctrl.Qmin, Qmax=ctrl.Qmax, n=ctrl.n)
-
-        push!(surface_index, isurf)
-        push!(Qpeak_vec, Qpeak)
-        push!(br_vec, br_crit)
-        push!(Q0_vec, Q0_here)
-        push!(P_vec, P_here)
-
-        scan_entry = (
-            surface=isurf,
-            Q=collect(Qs),
-            balance=collect(bal),
-            delta=collect(Δs),
-            Q_positive=collect(Qs_positive),
-            balance_positive=collect(bal_positive),
-            Qpeak=Qpeak,
-            br_crit=br_crit,
-            Q0=Q0_here,
-            P=P_here,
-            lu=p.lu,
-            sval=p.sval_r,
-            m=p.m,
-            n=p.n,
-            params=p
-        )
-        push!(scan_data, scan_entry)
-
+        @info("SLAYER: critical resonant field workflow completed; " *
+              "critical br values for each rational surface are available in the result.")
+        return combined_result
     end
-
-    return CriticalResonantFieldResult(
-        true,
-        params,
-        surface_index,
-        Qpeak_vec,
-        br_vec,
-        Q0_vec,
-        P_vec,
-        scan_data
-    )
+    return run_slayer_from_inputs(params, dp, control; rational_psi=rational_psi, rational_q=rational_q)
 end

From fbacf333c2312537a76b336d4a0cdff79c71c059 Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Thu, 20 Aug 2026 14:07:27 -0400
Subject: [PATCH 7/9] Full working bcrit intial implementation

---
 .gitignore                                    |   2 +
 .../gpec.toml                                 |  20 +-
 .../slayer_ex.ipynb                           | 394 ++++++++++
 .../DIIID-like_SLAYER_example/slayer_ex.ipynb | 266 -------
 .../CRF Dev/P_eta_calc.ipynb                  | 279 -------
 .../CriticalResonantField/CRF Dev/b_crit.jls  | Bin 74 -> 0 bytes
 .../CRF Dev/bcrit_dev.ipynb                   | 724 ------------------
 .../CRF Dev/bcrit_dev_ggj.ipynb               | 298 -------
 .../CRF Dev/bcrit_numerics.ipynb              | 122 ---
 .../CriticalResonantField/CRF Dev/gslayer.txt | 466 -----------
 .../CRF Dev/pole_testing.ipynb                | 395 ----------
 .../CRF Dev/sample_number.jls                 | Bin 68 -> 0 bytes
 .../CriticalResonantField.jl                  |   1 +
 .../CriticalResonantField/TorqueBalance.jl    |  35 +-
 src/Tearing/Runner/Control.jl                 |   3 +-
 src/Tearing/Runner/run_slayer.jl              | 115 ++-
 16 files changed, 511 insertions(+), 2609 deletions(-)
 rename examples/{DIIID-like_SLAYER_example => DIIID-like_SLAYER_and_bcrit_example}/gpec.toml (84%)
 create mode 100644 examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
 delete mode 100644 examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
 delete mode 100644 src/Tearing/CriticalResonantField/CRF Dev/P_eta_calc.ipynb
 delete mode 100644 src/Tearing/CriticalResonantField/CRF Dev/b_crit.jls
 delete mode 100644 src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb
 delete mode 100644 src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev_ggj.ipynb
 delete mode 100644 src/Tearing/CriticalResonantField/CRF Dev/bcrit_numerics.ipynb
 delete mode 100644 src/Tearing/CriticalResonantField/CRF Dev/gslayer.txt
 delete mode 100644 src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb
 delete mode 100644 src/Tearing/CriticalResonantField/CRF Dev/sample_number.jls

diff --git a/.gitignore b/.gitignore
index fcb3cc96c..8f463f94f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -38,3 +38,5 @@ scratch/
 
 # Local profiling scratch (one-off study scripts, not part of the package)
 profiling/
+examples/b_crit_standalone_example/
+src/Tearing/CriticalResonantField/CRF Dev/
diff --git a/examples/DIIID-like_SLAYER_example/gpec.toml b/examples/DIIID-like_SLAYER_and_bcrit_example/gpec.toml
similarity index 84%
rename from examples/DIIID-like_SLAYER_example/gpec.toml
rename to examples/DIIID-like_SLAYER_and_bcrit_example/gpec.toml
index 618372d02..b00fad0cc 100644
--- a/examples/DIIID-like_SLAYER_example/gpec.toml
+++ b/examples/DIIID-like_SLAYER_and_bcrit_example/gpec.toml
@@ -1,7 +1,7 @@
-# DIII-D-like SLAYER tearing-mode growth-rate example.
+# DIII-D-like SLAYER tearing-mode growth-rate example with Critical Resonant Field calculations.
 # Reuses the equilibrium and H-mode kinetic profiles of the sibling
 # DIIID-like_ideal_example (geqdsk referenced by relative path; not
-# duplicated). Runs equilibrium + ForceFreeStates + SLAYER and skips
+# duplicated). Runs equilibrium + ForceFreeStates + SLAYER + CriticalResonantField and skips
 # PerturbedEquilibrium (ForceFreeStates.force_termination = true).
 
 [Equilibrium]
@@ -87,11 +87,11 @@ Q_im_range = [-0.5, 3.0]       # Scan box in the normalized Q plane, Im(Q) axis
 nre        = 41                # Grid resolution along the Re(Q) axis
 nim        = 31                # Grid resolution along the Im(Q) axis
 
-[SLAYER.CriticalResonantField]
-# CriticalResonantField used to find the critical resonant field sufficent for tearing onset at each rational surface.
-enabled = true # Run CriticalResonantField analysis
-Qmin = -10 # Minimum rotation scanned
-Qmax = 10 # Maximum rotation scanned
-n = 200 # Number of rotation points scanned
-angular_momentum_diffusivity = [1.0,1.0,1.0,1.0,1.0,1.0] # Toroidal momentum diffusivity (if nothing, falls back on chi_perp ~ chi_e, electron thermal diffusivity)
-store_scan = true # Per surface torque and inner layer quantities
+[SLAYER.CriticalResonantField]                          # CriticalResonantField used to find the critical resonant field sufficent for tearing onset at each rational surface.
+enabled = true                                          # Run CriticalResonantField analysis
+Qmin = -10                                              # Minimum normalized rotation scanned
+Qmax = 10                                               # Maximum normalized rotation scanned
+n = 2000                                                # Number of rotation points scanned
+viscous_input_type = "angular_momentum_diffusivity"     # Either "angular_momentum_diffusivity" or "magnetic_prandtl_number"
+viscous_input = 1                                       # Either Prandlt number or angular momentum diffusivity (based on viscous_input_type). Takes in either an array across q surfaces, a single value for all, or false, which falls back on chi_perp ~ chi_e, electron thermal diffusivity.
+store_scan = true                                       # Per surface torque and inner layer quantities
diff --git a/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb b/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
new file mode 100644
index 000000000..ed88780dd
--- /dev/null
+++ b/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
@@ -0,0 +1,394 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.build(\"GeneralizedPerturbedEquilibrium\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
+    "Base.active_project()\n",
+    "\n",
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using GeneralizedPerturbedEquilibrium: Analysis\n",
+    "using Printf\n",
+    "\n",
+    "using Plots\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    margin=12Plots.mm,\n",
+    "    size=(800, 500),\n",
+    "    dpi=150\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "h5path = \"/Users/bursche/Documents/GitHub/JPEC_BCRIT/examples/DIIID-like_SLAYER_and_bcrit_example/gpec.h5\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using HDF5\n",
+    "\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    println(\"Top-level keys:\")\n",
+    "    println(collect(keys(file)))\n",
+    "\n",
+    "    if haskey(file, \"Tearing\")\n",
+    "        println(\"\\nKeys in Tearing:\")\n",
+    "        println(collect(keys(file[\"Tearing\"])))\n",
+    "\n",
+    "        if haskey(file[\"Tearing\"], \"CriticalResonantField\")\n",
+    "            println(\"\\nKeys in Tearing/CriticalResonantField:\")\n",
+    "            println(collect(keys(file[\"Tearing\"][\"CriticalResonantField\"])))\n",
+    "        end\n",
+    "    else\n",
+    "        println(\"No Tearing group found.\")\n",
+    "    end\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Print the contents of the Tearing/CriticalResonantField group\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    if haskey(file, \"Tearing\") && haskey(file[\"Tearing\"], \"CriticalResonantField\")\n",
+    "        println(\"\\nContents of Tearing/CriticalResonantField:\")\n",
+    "        # Iterate over the keys in the Tearing/CriticalResonantField group and print their names and types\n",
+    "        for key in keys(file[\"Tearing\"][\"CriticalResonantField\"])\n",
+    "            dataset = file[\"Tearing\"][\"CriticalResonantField\"][key]\n",
+    "            println(\"Key: $key, Type: $(typeof(dataset))\")\n",
+    "            # print data \n",
+    "            if isa(dataset, HDF5.Dataset)\n",
+    "                data = read(dataset)\n",
+    "                println(\"Data: $data\")\n",
+    "            end\n",
+    "        end\n",
+    "    else\n",
+    "        println(\"No Tearing/CriticalResonantField group found.\")\n",
+    "    end\n",
+    "    # Print bcrit data as .2e (in one line)\n",
+    "    println(\"\\nBcrit data: $(join([@sprintf(\"%.2e\", x) for x in read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"])], \" \"))\")\n",
+    "end\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "println(keys(h5open(h5path, \"r\")[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_1\"]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "function bcrit_diag_plots(Δs, Qs, bal, name)\n",
+    "\n",
+    "    p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "    #plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "    xlabel!(p1, \"Q\")\n",
+    "    ylabel!(p1, \"Δ\")\n",
+    "    title!(p1, \"Inner-layer Δ(Q) - $name\")\n",
+    "\n",
+    "    p2 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
+    "    plot!(p2, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "    xlabel!(p2, \"Q\")\n",
+    "    ylabel!(p2, \"balance\")\n",
+    "    title!(p2, \"2P(Q0-Q)/jxb - $name\")\n",
+    "\n",
+    "    plot(p1, p2, layout=(2,1), size=(500, 700))\n",
+    "\n",
+    "\n",
+    "end\n",
+    "\n",
+    "function plot_all_vs_rational_q(h5path)\n",
+    "    h5open(h5path, \"r\") do file\n",
+    "        tearing = file[\"Tearing\"]\n",
+    "        crf = tearing[\"CriticalResonantField\"]\n",
+    "        scan = crf[\"Scan\"]\n",
+    "\n",
+    "        rational_q = read(tearing[\"PerSurface\"][\"rational_q\"])\n",
+    "        bcrit = read(crf[\"br_crit\"])\n",
+    "        bal = [read(scan[\"surface_$(i)\"][\"balance\"]) for i in eachindex(rational_q)]\n",
+    "        P = [read(scan[\"surface_$(i)\"][\"P\"]) for i in eachindex(rational_q)]\n",
+    "        lu = [read(scan[\"surface_$(i)\"][\"lu\"]) for i in eachindex(rational_q)]\n",
+    "        sval = [read(scan[\"surface_$(i)\"][\"sval\"]) for i in eachindex(rational_q)]\n",
+    "        Q0 = [read(scan[\"surface_$(i)\"][\"Q0\"]) for i in eachindex(rational_q)]\n",
+    "        max_balance = maximum.(bal)\n",
+    "\n",
+    "        fig = plot(layout=(3, 2), size=(1000, 1200))\n",
+    "        plot!(fig[1], rational_q, bcrit; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Critical Resonant Field (T)\", legend=false)\n",
+    "        plot!(fig[2], rational_q, max_balance; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Maximum (Torque Balance)\", legend=false)\n",
+    "        plot!(fig[3], rational_q, P; marker=:circle,  lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"P\", legend=false)\n",
+    "        plot!(fig[4], rational_q, lu; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Lundquist Number\", legend=false)\n",
+    "        plot!(fig[5], rational_q, sval; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Magnetic Shear\", legend=false)\n",
+    "        plot!(fig[6], rational_q, Q0; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Q0\", legend=false)\n",
+    "\n",
+    "        display(fig)\n",
+    "        #return fig\n",
+    "    end\n",
+    "end\n",
+    "\n",
+    "plot_all_vs_rational_q(h5path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using GeneralizedPerturbedEquilibrium: Analysis\n",
+    "using GeneralizedPerturbedEquilibrium.InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
+    "    SLAYERModel, SLAYERParameters, slayer_parameters\n",
+    "using GeneralizedPerturbedEquilibrium.Tearing.CriticalResonantField: TorqueBalance, torque_balance_value, torque_balance_scan\n",
+    "\n",
+    "surface_num = 5\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    sval_r = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"sval\"])\n",
+    "    Q0 = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"Q0\"])\n",
+    "    m = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"m\"])\n",
+    "    n = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"n\"])\n",
+    "    qval = m/n\n",
+    "    Q_e = read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"])[surface_num]\n",
+    "    Q_i = read(file[\"Tearing\"][\"PerSurface\"][\"Q_i\"])[surface_num]\n",
+    "    lu = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"lu\"])\n",
+    "    rs = read(file[\"Tearing\"][\"PerSurface\"][\"rs\"])[surface_num]\n",
+    "    P = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"P\"])\n",
+    "\n",
+    "    p = slayer_parameters( # Call slayer_parameters function to instantiate slab parameters\n",
+    "        n_e=1e19, t_e=1e3, t_i=1e3,\n",
+    "        omega=0.0, omega_e=40, omega_i=-20,\n",
+    "        qval=qval, sval_r=sval_r, bt=2.0, rs=rs, R0=3.0, mu_i=2.0, zeff=1.0,\n",
+    "        chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
+    "    )\n",
+    "    p = SLAYERParameters( # Modify the created SLAYERParameters struct to modify electron and ion diamagnetic resonance frequencies\n",
+    "        ising=p.ising,\n",
+    "        m=p.m, n=p.n,\n",
+    "        tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
+    "        P_perp=p.P_perp, P_tor=p.P_tor,\n",
+    "        Q_e=Q_e, Q_i=Q_i, iota_e=p.iota_e,\n",
+    "        tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
+    "        rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
+    "        dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
+    "        eta=p.eta, d_beta=p.d_beta,\n",
+    "        dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
+    "    )\n",
+    "\n",
+    "    tb = TorqueBalance( # Generate a TorqueBalance struct using the default (Fitzpatrick) SLAYERModel and the modified SLAYERParameters\n",
+    "        SLAYERModel(;),\n",
+    "        p, # Slayer Parameters struct\n",
+    "        Q0, # Normalized rotation Q\n",
+    "        P, # Magnetic Prandtl number\n",
+    "        p.lu, # Lundquist Number\n",
+    "        p.sval_r # r-based magnetic shear\n",
+    "    )\n",
+    "    Qmin = -.2\n",
+    "    Qmax = .2\n",
+    "    Qs, bal, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qmin, Qmax=Qmax, n=1000) # Run actual torque balance scan, finds inner-layer delta across Q vals\n",
+    "\n",
+    "\n",
+    "    jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "    T_VISC = [2.0 * tb.P * (tb.Q0 - q) for q in Qs] #(q, jxb) in zip(Qs, jxbs)]\n",
+    "    T_EM = -imag(1.0 ./ (Δs .+ 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
+    "    i = Qpeak_ind\n",
+    "    println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
+    "    println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
+    "    println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
+    "\n",
+    "    #T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
+    "    #T_visc ∝ 2 P (Q0 − Q)\n",
+    "\n",
+    "\n",
+    "    xmi = Qmin\n",
+    "    xma = Qmax\n",
+    "\n",
+    "    \"\"\"\n",
+    "    p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2, xlim=(xmi, xma))\n",
+    "    #plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "    xlabel!(p1, \"Q\")\n",
+    "    ylabel!(p1, \"Δ\")\n",
+    "    #title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "    \"\"\"\n",
+    "\n",
+    "    p1 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(-1000,1000))\n",
+    "    plot!(p1, Qs, T_EM, label=\"T_EM\", lw=2)\n",
+    "    vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "    xlabel!(p1, \"Q\")\n",
+    "    ylabel!(p1, \"Torque\")\n",
+    "\n",
+    "    #p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "    p2 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(0,500))\n",
+    "    plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
+    "    vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "    xlabel!(p2, \"Q\")\n",
+    "    ylabel!(p2, \"Torque\")\n",
+    "\n",
+    "    p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2, xlim=(xmi, xma),ylim=(-1e-2,1e-2))\n",
+    "    plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "    ylabel!(p3, \"Torque Balance\")\n",
+    "    xlabel!(p3, \"Q\")\n",
+    "    vline!([Qpeak], label=\"Max Balance\", linestyle=:dash)\n",
+    "\n",
+    "    # find index, q val and bal val of the q closest to Q_e\n",
+    "    println(\"Q_e: \", -tb.params.Q_e)\n",
+    "    idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e))\n",
+    "    q_closest_Q_e = Qs[idx_closest_Q_e]\n",
+    "    bal_closest_Q_e = bal[idx_closest_Q_e]\n",
+    "    println(\"Closest Q to Q_e: \", q_closest_Q_e, \" with balance value: \", bal_closest_Q_e, \" at index: \", idx_closest_Q_e)\n",
+    "    println(\"B crit: \", brcrit)\n",
+    "    vline!([-tb.params.Q_e], label=\"Q_e\", linestyle=:dashdot, color=:orange)\n",
+    "    vline!([q_closest_Q_e], label=\"Closest Q to Q_e\", linestyle=:dashdot, color=:purple)\n",
+    "\n",
+    "    #plot(p1, p2, p3, layout=(3,1), size=(800, 1000))\n",
+    "    plot(p3, layout=(1,1))#, size=(800, 1000))\n",
+    "\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# plot jxb vs Qs for surface 1\n",
+    "# jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "surface_num = 5\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    Δs = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"delta\"])\n",
+    "    Qs = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"Q\"])\n",
+    "    bal = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"balance\"])\n",
+    "    jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "    aplot = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "    xlabel!(\"Q\")\n",
+    "    ylabel!(\"jxb\")\n",
+    "    title!(\"jxb vs Q for surface $(surface_num)\")\n",
+    "    println(\"max of balance: \", maximum(bal))\n",
+    "    println(\"max of jxb: \", maximum(jxbs))\n",
+    "    println(\"bcrit: \", read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"]))\n",
+    "    println(\"Qpeak: \", read(file[\"Tearing\"][\"CriticalResonantField\"][\"Qpeak\"]))\n",
+    "    println(\"Q_e:   \", read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"]))\n",
+    "    # plot balance vs q with bcrit as vertical line\n",
+    "    p2 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2,xlim=(-.2,.2),ylim=(-1e-2,1e-2))\n",
+    "    plot!(p2, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "    xlabel!(p2, \"Q\")\n",
+    "    ylabel!(p2, \"balance\")\n",
+    "    title!(p2, \"2P(Q0-Q)/jxb - surface $(surface_num)\")\n",
+    "    #vline!(p2, [read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"])], label=\"bcrit\", lw=2, lc=:red)\n",
+    "    # add Q_e as vertical line\n",
+    "    vline!(p2, [read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"])[surface_num]], label=\"Q_e\", lw=2, lc=:green)\n",
+    "    vline!(p2, [read(file[\"Tearing\"][\"PerSurface\"][\"Q_i\"])[surface_num]], label=\"Q_i\", lw=2, lc=:blue)\n",
+    "    vline!(p2, [read(file[\"Tearing\"][\"CriticalResonantField\"][\"Qpeak\"])[surface_num]], label=\"Qpeak\", lw=2, lc=:orange)\n",
+    "    #display(aplot)\n",
+    "    display(p2)\n",
+    "\n",
+    "end\n",
+    "\n",
+    "\"\"\"\n",
+    "Local maxima indices: [104, 103] with values: [80.15320925995013, 79.66428209429431] and corresponding Qs: [0.35175879396984927, 0.25125628140703515] closest Q to Q_e: -0.35175879396984927 closest Q to Q_i: 0.35175879396984927\n",
+    "Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.\n",
+    "Selected local maximum index: 103 with value: 79.66428209429431 and corresponding Q: 0.25125628140703515\n",
+    "\"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "10",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Plot bcrit vs q surface\n",
+    "\n",
+    "# print all contents of bcrit /scan /surface 1/\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    bcrit = file[\"Tearing\"][\"CriticalResonantField\"]\n",
+    "\n",
+    "    for i in 1:6\n",
+    "        ss = \"surface_$i\"\n",
+    "\n",
+    "        delta  = read(bcrit[\"Scan\"][ss][\"delta\"])\n",
+    "        Q      = read(bcrit[\"Scan\"][ss][\"Q\"])\n",
+    "        balance = read(bcrit[\"Scan\"][ss][\"balance\"])\n",
+    "\n",
+    "        display(bcrit_diag_plots(delta, Q, balance, \"surface_$i\"))\n",
+    "    end\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p_eq = Analysis.Equilibrium.plot_equilibrium_summary(h5path)\n",
+    "p_ffs = Analysis.ForceFreeStates.plot_ffs_summary(h5path)\n",
+    "#p_pe = Analysis.PerturbedEquilibrium.plot_perturbed_equilibrium_summary(h5path)\n",
+    "\n",
+    "display(p_eq)\n",
+    "display(p_ffs)\n",
+    "#display(p_pe)"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
deleted file mode 100644
index 710608340..000000000
--- a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
+++ /dev/null
@@ -1,266 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Pkg\n",
-    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
-    "Base.active_project()\n",
-    "\n",
-    "using GeneralizedPerturbedEquilibrium\n",
-    "using GeneralizedPerturbedEquilibrium: Analysis\n",
-    "using Printf\n",
-    "\n",
-    "using Plots\n",
-    "default(\n",
-    "    fontfamily=\"Georgia\",\n",
-    "    margin=12Plots.mm,\n",
-    "    size=(800, 500),\n",
-    "    dpi=150\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "h5path = \"/Users/bursche/Documents/GitHub/JPEC_BCRIT/examples/DIIID-like_SLAYER_example/gpec.h5\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using HDF5\n",
-    "\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    println(\"Top-level keys:\")\n",
-    "    println(collect(keys(file)))\n",
-    "\n",
-    "    if haskey(file, \"Tearing\")\n",
-    "        println(\"\\nKeys in Tearing:\")\n",
-    "        println(collect(keys(file[\"Tearing\"])))\n",
-    "\n",
-    "        if haskey(file[\"Tearing\"], \"CriticalResonantField\")\n",
-    "            println(\"\\nKeys in Tearing/CriticalResonantField:\")\n",
-    "            println(collect(keys(file[\"Tearing\"][\"CriticalResonantField\"])))\n",
-    "        end\n",
-    "    else\n",
-    "        println(\"No Tearing group found.\")\n",
-    "    end\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Print the contents of the Tearing/CriticalResonantField group\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    if haskey(file, \"Tearing\") && haskey(file[\"Tearing\"], \"CriticalResonantField\")\n",
-    "        println(\"\\nContents of Tearing/CriticalResonantField:\")\n",
-    "        # Iterate over the keys in the Tearing/CriticalResonantField group and print their names and types\n",
-    "        for key in keys(file[\"Tearing\"][\"CriticalResonantField\"])\n",
-    "            dataset = file[\"Tearing\"][\"CriticalResonantField\"][key]\n",
-    "            println(\"Key: $key, Type: $(typeof(dataset))\")\n",
-    "            # print data \n",
-    "            if isa(dataset, HDF5.Dataset)\n",
-    "                data = read(dataset)\n",
-    "                println(\"Data: $data\")\n",
-    "            end\n",
-    "        end\n",
-    "    else\n",
-    "        println(\"No Tearing/CriticalResonantField group found.\")\n",
-    "    end\n",
-    "    # Print bcrit data as .2e (in one line)\n",
-    "    println(\"\\nBcrit data: $(join([@sprintf(\"%.2e\", x) for x in read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"])], \" \"))\")\n",
-    "end\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "println(keys(h5open(h5path, \"r\")[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_1\"]))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "function bcrit_diag_plots(Δs, Qs, bal,name)\n",
-    "\n",
-    "    p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "    #plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "    xlabel!(p1, \"Q\")\n",
-    "    ylabel!(p1, \"Δ\")\n",
-    "    title!(p1, \"Inner-layer Δ(Q) - $name\")\n",
-    "\n",
-    "    p2 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
-    "    plot!(p2, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "    xlabel!(p2, \"Q\")\n",
-    "    ylabel!(p2, \"balance\")\n",
-    "    title!(p2, \"2P(Q0-Q)/jxb - $name\")\n",
-    "\n",
-    "    plot(p1, p2, layout=(2,1), size=(800, 1000))\n",
-    "\n",
-    "\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# print all P values\n",
-    "println(\"\\nP values for each surface in the scan:\")\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    for i in 1:6\n",
-    "        ss = \"surface_$i\"\n",
-    "        if haskey(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"], ss)\n",
-    "            P = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][ss][\"P\"])\n",
-    "            println(\"Surface $i: P = $(join([@sprintf(\"%.2e\", x) for x in P], \" \"))\")\n",
-    "        else\n",
-    "            println(\"Surface $i: No data found.\")\n",
-    "        end\n",
-    "    end\n",
-    "end\n",
-    "# want to print chi_tor for each surface in the scan, need to use P = (4π * 1e-7) .* abs.(chi_sel) ./ η_neo, so chi_sel = P * η_neo / (4π * 1e-7)\n",
-    "println(\"\\nchi_tor values for each surface in the scan:\")\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    for i in 1:6\n",
-    "        ss = \"surface_$i\"\n",
-    "        if haskey(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"], ss)\n",
-    "            P = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][ss][\"P\"])\n",
-    "            η_neo = read(file[\"Tearing\"][\"PerSurface\"][\"eta\"])\n",
-    "            chi_tor = P .* η_neo[i] ./ (4π * 1e-7)\n",
-    "            println(\"Surface $i: chi_tor = $(join([@sprintf(\"%.2e\", x) for x in chi_tor], \" \"))\")   \n",
-    "        else\n",
-    "            println(\"Surface $i: No data found.\")\n",
-    "        end\n",
-    "    end\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# plot jxb vs Qs for surface 1\n",
-    "# jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "surface_num = 2\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    Δs = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"delta\"])\n",
-    "    Qs = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"Q\"])\n",
-    "    bal = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"balance\"])\n",
-    "    jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "    aplot = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "    xlabel!(\"Q\")\n",
-    "    ylabel!(\"jxb\")\n",
-    "    title!(\"jxb vs Q for surface $(surface_num)\")\n",
-    "    println(\"max of balance: \", maximum(bal))\n",
-    "    println(\"max of jxb: \", maximum(jxbs))\n",
-    "    println(\"bcrit: \", read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"]))\n",
-    "    println(\"Qpeak: \", read(file[\"Tearing\"][\"CriticalResonantField\"][\"Qpeak\"]))\n",
-    "    println(\"Q_e:   \", read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"]))\n",
-    "    # plot balance vs q with bcrit as vertical line\n",
-    "    p2 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
-    "    plot!(p2, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "    xlabel!(p2, \"Q\")\n",
-    "    ylabel!(p2, \"balance\")\n",
-    "    title!(p2, \"2P(Q0-Q)/jxb - surface $(surface_num)\")\n",
-    "    vline!(p2, [read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"])], label=\"bcrit\", lw=2, lc=:red)\n",
-    "    # add Q_e as vertical line\n",
-    "    vline!(p2, [read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"])[surface_num]], label=\"Q_e\", lw=2, lc=:green)\n",
-    "    vline!(p2, [read(file[\"Tearing\"][\"PerSurface\"][\"Q_i\"])[surface_num]], label=\"Q_i\", lw=2, lc=:blue)\n",
-    "\n",
-    "    display(aplot)\n",
-    "    display(p2)\n",
-    "\n",
-    "end\n",
-    "\n",
-    "\"\"\"\n",
-    "Local maxima indices: [104, 103] with values: [80.15320925995013, 79.66428209429431] and corresponding Qs: [0.35175879396984927, 0.25125628140703515] closest Q to Q_e: -0.35175879396984927 closest Q to Q_i: 0.35175879396984927\n",
-    "Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.\n",
-    "Selected local maximum index: 103 with value: 79.66428209429431 and corresponding Q: 0.25125628140703515\n",
-    "\"\"\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Plot bcrit vs q surface\n",
-    "\n",
-    "# print all contents of bcrit /scan /surface 1/\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    bcrit = file[\"Tearing\"][\"CriticalResonantField\"]\n",
-    "\n",
-    "    for i in 1:6\n",
-    "        ss = \"surface_$i\"\n",
-    "\n",
-    "        delta  = read(bcrit[\"Scan\"][ss][\"delta\"])\n",
-    "        Q      = read(bcrit[\"Scan\"][ss][\"Q\"])\n",
-    "        balance = read(bcrit[\"Scan\"][ss][\"balance\"])\n",
-    "\n",
-    "        display(bcrit_diag_plots(delta, Q, balance, \"surface_$i\"))\n",
-    "    end\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "p_eq = Analysis.Equilibrium.plot_equilibrium_summary(h5path)\n",
-    "p_ffs = Analysis.ForceFreeStates.plot_ffs_summary(h5path)\n",
-    "#p_pe = Analysis.PerturbedEquilibrium.plot_perturbed_equilibrium_summary(h5path)\n",
-    "\n",
-    "display(p_eq)\n",
-    "display(p_ffs)\n",
-    "#display(p_pe)"
-   ]
-  }
- ],
- "metadata": {
-  "language_info": {
-   "file_extension": ".jl",
-   "mimetype": "application/julia",
-   "name": "julia"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/P_eta_calc.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/P_eta_calc.ipynb
deleted file mode 100644
index 0639317bd..000000000
--- a/src/Tearing/CriticalResonantField/CRF Dev/P_eta_calc.ipynb	
+++ /dev/null
@@ -1,279 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Pkg\n",
-    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
-    "Base.active_project()\n",
-    "\n",
-    "using Plots\n",
-    "using Printf"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Minimal Julia implementation of the `neo_2021` branch.\n",
-    "\n",
-    "# Inputs:\n",
-    "#   Te     : electron temperature [eV]\n",
-    "#   ne     : electron density [m^-3]\n",
-    "#   Ti     : ion temperature [eV]\n",
-    "#   q      : safety factor\n",
-    "#   eps    : inverse aspect ratio\n",
-    "#   R      : major radius [m]\n",
-    "#   fT     : trapped-particle fraction\n",
-    "#   Zeff   : effective charge\n",
-    "\n",
-    "# Output:\n",
-    "#   σ_spitzer : Spitzer conductivity [1/(Ω m)]\n",
-    "#   σ_neo     : Redl 2021 neoclassical conductivity [1/(Ω m)]\n",
-    "\n",
-    "# All inputs can be scalars or arrays of the same size.\n",
-    "\n",
-    "function neoclassical_conductivity(\n",
-    "    Te, ne, Ti, q, eps, R, fT, Zeff;\n",
-    "    version = :neo_2021,\n",
-    ")\n",
-    "\n",
-    "    # Coulomb logarithms\n",
-    "    lnΛe = 23.5 .-\n",
-    "           log.(sqrt.(ne ./ 1e6) .* Te.^(-5/4)) .-\n",
-    "           sqrt.(1e-5 .+ (log.(Te) .- 2).^2 ./ 16)\n",
-    "\n",
-    "    # Ion density.\n",
-    "    #\n",
-    "    # For the simple D + C model used in the original code:\n",
-    "    #     n_i = n_main + n_imp\n",
-    "    #\n",
-    "    # If only Zeff is supplied, the original function uses\n",
-    "    #     n_i = ne / Zeff\n",
-    "    ni = ne ./ Zeff\n",
-    "\n",
-    "    # With only Zeff available, Zdom = 1, giving\n",
-    "    Zdom = 1.0\n",
-    "\n",
-    "    # Average ion charge\n",
-    "    Zavg = ne ./ ni\n",
-    "\n",
-    "    # Koh effective ion charge\n",
-    "    Zion = (Zdom^2 .* Zavg .* Zeff).^(1/4)\n",
-    "\n",
-    "    # Ion Coulomb logarithm\n",
-    "    lnΛi = 30.0 .-\n",
-    "           log.(Zion.^3 .* sqrt.(ni) ./ Ti.^1.5)\n",
-    "\n",
-    "    # Prevent pathological negative electron Coulomb logarithms\n",
-    "    lnΛe_min = minimum(lnΛe[lnΛe .> 0])\n",
-    "    lnΛe = max.(lnΛe, lnΛe_min)\n",
-    "\n",
-    "    # Avoid eps = 0\n",
-    "    eps_nz = copy(eps)\n",
-    "    if any(eps .== 0)\n",
-    "        eps_nz[eps .== 0] .= minimum(eps[eps .!= 0])\n",
-    "    end\n",
-    "\n",
-    "    # Electron collisionality, Eq. 18b\n",
-    "    νe_star = 6.921e-18 .* abs.(q) .* R .* ne .* Zeff .* lnΛe ./\n",
-    "              (Te.^2 .* eps_nz.^1.5)\n",
-    "\n",
-    "    # Ion collisionality, Eq. 18c\n",
-    "    νi_star = 4.90e-18 .* abs.(q) .* R .* ni .* Zion.^4 .* lnΛi ./\n",
-    "              (Ti.^2 .* eps_nz.^1.5)\n",
-    "\n",
-    "    # Sauter Eq. 18a\n",
-    "    NZ(Z) = 0.58 + 0.74 ./ (0.76 + Z)\n",
-    "\n",
-    "    σ_spitzer = 1.9012e4 .* Te.^1.5 ./\n",
-    "                (Zeff .* NZ(Zeff) .* lnΛe)\n",
-    "\n",
-    "    # Redl 2021, Eq. 18\n",
-    "    f33teff = fT ./ (\n",
-    "        1 .+\n",
-    "        0.25 .* (1 .- 0.7 .* fT) .* sqrt.(νe_star) .*\n",
-    "        (1 .+ 0.45 .* sqrt.(Zeff .- 1)) .+\n",
-    "        0.61 .* (1 .- 0.41 .* fT) .* νe_star ./ sqrt.(Zeff)\n",
-    "    )\n",
-    "\n",
-    "    # Redl 2021, Eq. 17\n",
-    "    F33 = 1 .-\n",
-    "          (1 .+ 0.21 ./ Zeff) .* f33teff .+\n",
-    "          0.54 ./ Zeff .* f33teff.^2 .-\n",
-    "          0.33 ./ Zeff .* f33teff.^3\n",
-    "\n",
-    "    σ_neo = σ_spitzer .* F33\n",
-    "\n",
-    "    return σ_neo, σ_spitzer\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "function calc_resistivity_P(chi, ne, Te, Zeff, q, eps, R, fT, volume;\n",
-    "                            model=:neoclassical)\n",
-    "    cond = neoclassical_conductivity(\n",
-    "        Te=Te,\n",
-    "        ne=ne,\n",
-    "        Ti=Te,\n",
-    "        Zeff=Zeff,\n",
-    "        q=q,\n",
-    "        eps=eps,\n",
-    "        R=R,\n",
-    "        fT=fT,\n",
-    "        volume=volume,\n",
-    "        version=:neo_2021,\n",
-    "    )\n",
-    "\n",
-    "    σ = model == :neoclassical ?\n",
-    "        cond.neoclassical_conductivity :\n",
-    "        cond.spitzer_conductivity\n",
-    "\n",
-    "    η = 1 ./ σ\n",
-    "    P = (4π * 1e-7) .* abs.(chi) ./ η\n",
-    "\n",
-    "    return η, P\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "σ_neo, σ_spitzer = neoclassical_conductivity(\n",
-    "    Te_eV,\n",
-    "    ne_sel,\n",
-    "    Te_eV,       # Ti = Te\n",
-    "    qsing,\n",
-    "    eps_sel,\n",
-    "    R_sel,\n",
-    "    fT_sel;\n",
-    "    Zeff=zeff_sel,\n",
-    ")\n",
-    "\n",
-    "η_neo     = 1.0 ./ σ_neo\n",
-    "η_spitzer = 1.0 ./ σ_spitzer\n",
-    "\n",
-    "P = (4π * 1e-7) .* abs.(chi_sel) ./ η_neo"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "σ_neo, σ_spitzer = neoclassical_conductivity(\n",
-    "    106.211805100300,      # Te [eV]\n",
-    "    1.005827348013049e19,  # ne [m^-3]\n",
-    "    106.211805100300,      # Ti [eV]\n",
-    "    6.00000000000048,      # q\n",
-    "    0.771873939341347 / 1.74333594120074,  # eps = rs / R0\n",
-    "    1.74333594120074,      # R [m]\n",
-    "    1, #fT;                    # trapped fraction\n",
-    "    1.80427095488192, # Zeff\n",
-    ")\n",
-    "\n",
-    "η_neo     = 1.0 ./ σ_neo\n",
-    "η_spitzer = 1.0 ./ σ_spitzer\n",
-    "\n",
-    "chi_sel = 1\n",
-    "\n",
-    "P = (4π * 1e-7) .* abs.(chi_sel) ./ η_neo"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using LinearAlgebra # or relevant module providing neoclassical_conductivity\n",
-    "\n",
-    "# --- Set 1 Inputs (5 radial points) ---\n",
-    "Te_eV   = [718.04269217, 342.58020426, 188.39435197, 95.70267912, 44.04668565] # Te and Ti [eV]\n",
-    "ne_sel  = [1.98796958e19, 1.80371630e19, 1.55527262e19, 1.23649097e19, 8.97867646e18] # ne [m^-3]\n",
-    "zeff_sel = [1.65619282, 1.64427584, 1.58198407, 1.55990923, 1.68572562] # Zeff\n",
-    "qsing   = [2.0, 3.0, 4.0, 5.0, 6.0] # q\n",
-    "eps_sel = [0.22284171, 0.28956909, 0.32302672, 0.34432513, 0.35141583] # eps = r/R\n",
-    "R_sel   = [1.72151657, 1.70693349, 1.69832026, 1.69192129, 1.68947514] # R [m]\n",
-    "fT_sel  = [0.6127298, 0.66890766, 0.68553652, 0.68355803, 0.67414449] # Trapped fraction fT\n",
-    "\n",
-    "# Reference values from Python NCLASS run (for validation)\n",
-    "py_neo     = [7683580.66632273, 3011088.07938057, 1644303.89021149, 782055.27991453, 274193.4323623]\n",
-    "py_spitzer = [16324797.88300323, 5666135.22162908, 2468477.31865855, 941040.7938515, 290205.76181926]\n",
-    "\n",
-    "# --- Run Neoclassical Conductivity in Julia ---\n",
-    "# Broadcasting across all 5 radial positions:\n",
-    "σ_neo, σ_spitzer = neoclassical_conductivity.(\n",
-    "    Te_eV,    # Te [eV]\n",
-    "    ne_sel,   # ne [m^-3]\n",
-    "    Te_eV,    # Ti [eV] (assumed Ti = Te)\n",
-    "    qsing,    # q\n",
-    "    eps_sel,  # eps\n",
-    "    R_sel,    # R [m]\n",
-    "    fT_sel,   # trapped fraction fT\n",
-    "    zeff_sel  # Zeff\n",
-    ")\n",
-    "\n",
-    "# Collect tuple outputs into a vector of tuples\n",
-    "results = [\n",
-    "    neoclassical_conductivity(\n",
-    "        Te_eV[i], ne_sel[i], Te_eV[i], qsing[i], \n",
-    "        eps_sel[i], R_sel[i], fT_sel[i], zeff_sel[i]\n",
-    "    ) for i in 1:length(Te_eV)\n",
-    "]\n",
-    "\n",
-    "# Extract σ_neo (1st element) and σ_spitzer (2nd element)\n",
-    "σ_neo     = getindex.(results, 1)\n",
-    "σ_spitzer = getindex.(results, 2)\n",
-    "\n",
-    "η_neo     = 1.0 ./ σ_neo\n",
-    "η_spitzer = 1.0 ./ σ_spitzer\n",
-    "\n",
-    "chi_sel = 1\n",
-    "P = (4π * 1e-7) .* abs.(chi_sel) ./ η_neo\n",
-    "\n",
-    "\n",
-    "# --- Comparison Printouts ---\n",
-    "println(\"=== Neoclassical Conductivity Comparison ===\")\n",
-    "for i in 1:length(Te_eV)\n",
-    "    println(\"Point $i (q=$(qsing[i])):\")\n",
-    "    println(\"  Julia σ_neo     : \", σ_neo[i])\n",
-    "    println(\"  Python σ_neo    : \", py_neo[i])\n",
-    "    println(\"  Julia σ_spitzer : \", σ_spitzer[i])\n",
-    "    println(\"  Python σ_spitzer: \", py_spitzer[i])\n",
-    "    println(\"  P (magnetic diff): \", P[i])\n",
-    "    println()\n",
-    "end"
-   ]
-  }
- ],
- "metadata": {
-  "language_info": {
-   "file_extension": ".jl",
-   "mimetype": "application/julia",
-   "name": "julia"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/b_crit.jls b/src/Tearing/CriticalResonantField/CRF Dev/b_crit.jls
deleted file mode 100644
index dcd8e2611787cf2ae06b76a1ee64426e4009ac8a..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 74
zcmXr_@{wa<U|<k+d&c)g(D89Ef4DtgVP-T}{No6FzOW;P4Uz(p_IzuOom^-OVw82i
Y+3NvfNF32K2m~>LoNTscITzal0AxrQ1ONa4

diff --git a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb
deleted file mode 100644
index 5f9dfac2a..000000000
--- a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb	
+++ /dev/null
@@ -1,724 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Pkg\n",
-    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
-    "Base.active_project()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using GeneralizedPerturbedEquilibrium\n",
-    "using GeneralizedPerturbedEquilibrium: Analysis\n",
-    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
-    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
-    "using GeneralizedPerturbedEquilibrium: Tearing\n",
-    "using ..InnerLayer\n",
-    "using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
-    "    SLAYERModel, SLAYERParameters\n",
-    "\n",
-    "using Plots\n",
-    "using Printf\n",
-    "default(\n",
-    "    fontfamily=\"Georgia\",\n",
-    "    margin=12Plots.mm,\n",
-    "    size=(800, 500),\n",
-    "    dpi=150\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "struct TorqueBalance{M<:InnerLayerModel,P}\n",
-    "    model::M\n",
-    "    params::P\n",
-    "    Q0::Float64\n",
-    "    P::Float64\n",
-    "    lu::Float64\n",
-    "    sval::Float64\n",
-    "end\n",
-    "\n",
-    "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
-    "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
-    "    alpha = 1e-2\n",
-    "    jxb = -imag(1.0 / (Δ+ alpha))\n",
-    "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ\n",
-    "end\n",
-    "\n",
-    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)\n",
-    "    Qs = range(Qmin, Qmax; length=n)\n",
-    "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
-    "    bal = [x[1] for x in torque_out]\n",
-    "    Δs = [x[2] for x in torque_out]\n",
-    "    #bal = [torque_balance_value(tb, q) for q in Qs]\n",
-    "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
-    "\n",
-    "    if !any(positive)\n",
-    "        return Qs, bal, NaN, NaN, 0.0, NaN, NaN, Δs\n",
-    "    end\n",
-    "    i = argmax(bal)\n",
-    "    Qpeak_ind = i\n",
-    "    Qs_positive = Qs[positive]\n",
-    "    bal_positive = bal[positive]\n",
-    "\n",
-    "    i = argmax(bal_positive)\n",
-    "    Qpeak = Qs_positive[i]\n",
-    "    \n",
-    "    maxbal = bal_positive[i]\n",
-    "\n",
-    "    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
-    "    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
-    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
-    "    omega=0.0, omega_e=4, omega_i=-2,\n",
-    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
-    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
-    ")\n",
-    "p2 = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
-    "    ising=p.ising,\n",
-    "    m=p.m, n=p.n,\n",
-    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
-    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
-    "    Q_e=0.818, Q_i=-0.543, iota_e=p.iota_e,\n",
-    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
-    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
-    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
-    "    eta=p.eta, d_beta=p.d_beta,\n",
-    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
-    ")\n",
-    "\n",
-    "p2 = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
-    "    ising=p.ising,\n",
-    "    m=p.m, n=p.n,\n",
-    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
-    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
-    "    Q_e=2, Q_i=3, iota_e=p.iota_e,\n",
-    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
-    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
-    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
-    "    eta=p.eta, d_beta=p.d_beta,\n",
-    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
-    ")\n",
-    "\n",
-    "p = p2\n",
-    "\n",
-    "tb = TorqueBalance(\n",
-    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
-    "    p,\n",
-    "    0.5,\n",
-    "    p.P_tor,\n",
-    "    p.lu,\n",
-    "    p.sval_r\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Qs = range(-5.0, 5.0, length=200)\n",
-    "\n",
-    "#vals = [torque_balance_value(tb, q) for q in Qs]\n",
-    "\"\"\"\n",
-    "n=2000:\n",
-    "Qpeak = 0.24512256128064033\n",
-    "maxbal = 0.35873684252530247\n",
-    "br_crit = 4.668551985584323e-5\n",
-    "\n",
-    "n=200 (def):\n",
-    "Qpeak = 0.25125628140703515\n",
-    "maxbal = 0.3585219071071706\n",
-    "br_crit = 4.667153206033017e-5\n",
-    "\"\"\"\n",
-    "Qmi = -10\n",
-    "Qma = 10\n",
-    "\n",
-    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qmi, Qmax=Qma, n=100)\n",
-    "\n",
-    "println(\"Qpeak = \", Qpeak)\n",
-    "println(\"maxbal = \", maximum(bal_positive))\n",
-    "println(\"maxbal = \", maximum(bal))\n",
-    "println(\"br_crit = \", brcrit)\n",
-    "\n",
-    "p1 = plot(Qs, bal, lw=2, label=\"balance\")#,ylim=(-40, 40))\n",
-    "z_inds = findall(i -> bal[i]*bal[i+1] < 0, 1:length(bal)-1)\n",
-    "println(\"zero crossings at Q = \", Qs[z_inds])\n",
-    "for i in z_inds\n",
-    "    vline!([Qs[i]], label=\"0\", linestyle=:dot, color=:gray)\n",
-    "end\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "\n",
-    "\n",
-    "p5 = plot(Qs, bal, lw=2, label=\"balance\",xlim=(Qs[z_inds[1]],Qs[z_inds[2]]))#,ylim=(-40, 40))#, xlim = (-.11,-.09))\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "p2 = plot(Qs, -imag(Δs), lw=2, label=\"Im(Δ)\",ylim=(-5,2))#,xlim=(-.11,-.09))\n",
-    "plot!(p2, Qs, real(Δs), lw=2, label=\"Re(Δ)\")\n",
-    "#vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "#hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "vline!([-3], linestyle=:dashdot)\n",
-    "vline!([-2], linestyle=:dashdot)\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "vline!([0.499], linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"Δ\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "jxb = -imag(1.0 ./ (Δs .+ 1e-2))\n",
-    "jxb0 = -imag(1.0 ./ (Δs))\n",
-    "p3 = plot(Qs, jxb, lw=2, label=\"-Im(1 / (Δs + 1e-2))\",color=:blue)#, xlim = (-.11,-.09),ylim=(-500,500))\n",
-    "plot!(p3, Qs, jxb0, lw=2, label=\"-Im(1 / Δs)\",color=:red,linestyle=:dash)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"~ jxb\")\n",
-    "\n",
-    "p4 = plot(Qs, jxb, lw=2, label=\"-Im(1 / Δs)\",color=:blue)#, xlim = (-.11,-.09))\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"~ jxb\")\n",
-    "\"\"\"\n",
-    "#remake plot 1 but of derivative of balance with respect to Q\n",
-    "dQ = Qs[2] - Qs[1]\n",
-    "dbal_dQ = diff(bal) ./ dQ\n",
-    "p3 = plot(Qs[1:end-1], dbal_dQ, lw=2, label=\"d(balance)/dQ\",ylim=(-1000, 1000))\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"d(balance)/dQ\")\n",
-    "\"\"\"\n",
-    "\n",
-    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qs[], Qmax=Qs[zin], n=10000)\n",
-    "\n",
-    "\n",
-    "plo = plot(p1, p2,p3,p4,p5, p6, layout=(6,1), size=(1000, 2000))\n",
-    "display(plo)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Qlow = -0.1005100510051005\n",
-    "Qhigh =  0.49954995499549953\n",
-    "\n",
-    "#Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qlow, Qmax=Qhigh, n=10000)\n",
-    "\n",
-    "println(\"Qpeak = \", Qpeak)\n",
-    "println(\"maxbal = \", maximum(bal_positive))\n",
-    "println(\"maxbal = \", maximum(bal))\n",
-    "println(\"br_crit = \", brcrit)\n",
-    "\n",
-    "p1 = plot(Qs, bal, lw=2, label=\"balance\")#,ylim=(-40, 40))\n",
-    "z_inds = findall(i -> bal[i]*bal[i+1] < 0, 1:length(bal)-1)\n",
-    "println(\"zero crossings at Q = \", Qs[z_inds])\n",
-    "for i in z_inds\n",
-    "    vline!([Qs[i]], label=\"0\", linestyle=:dot, color=:gray)\n",
-    "end\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "\n",
-    "p5 = plot(Qs, bal, lw=2, label=\"balance\",ylim=(-40, 40), xlim = (-.11,-.09))\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "p2 = plot(Qs, -imag(Δs), lw=2, label=\"Im(Δ)\",ylim=(-2,2))#,xlim=(-.11,-.09))\n",
-    "plot!(p2, Qs, real(Δs), lw=2, label=\"Re(Δ)\")\n",
-    "#vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "#hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"Δ\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "jxb = -imag(1.0 ./ (Δs .+ 1e-2))\n",
-    "jxb0 = -imag(1.0 ./ (Δs))\n",
-    "p3 = plot(Qs, jxb, lw=2, label=\"-Im(1 / (Δs + 1e-2))\",color=:blue, xlim = (-.11,-.09),ylim=(-500,500))\n",
-    "plot!(p3, Qs, jxb0, lw=2, label=\"-Im(1 / Δs)\",color=:red,linestyle=:dash)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"~ jxb\")\n",
-    "\n",
-    "p4 = plot(Qs, jxb, lw=2, label=\"-Im(1 / Δs)\",color=:blue, xlim = (-.11,-.09))\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"~ jxb\")\n",
-    "\"\"\"\n",
-    "#remake plot 1 but of derivative of balance with respect to Q\n",
-    "dQ = Qs[2] - Qs[1]\n",
-    "dbal_dQ = diff(bal) ./ dQ\n",
-    "p3 = plot(Qs[1:end-1], dbal_dQ, lw=2, label=\"d(balance)/dQ\",ylim=(-1000, 1000))\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"d(balance)/dQ\")\n",
-    "\"\"\"\n",
-    "plo = plot(p1, p2,p3,p4,p5, layout=(5,1), size=(1000, 2000))\n",
-    "display(plo)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Qs = range(-5.0, 5.0, length=200)\n",
-    "\n",
-    "#vals = [torque_balance_value(tb, q) for q in Qs]\n",
-    "\"\"\"\n",
-    "n=2000:\n",
-    "Qpeak = 0.24512256128064033\n",
-    "maxbal = 0.35873684252530247\n",
-    "br_crit = 4.668551985584323e-5\n",
-    "\n",
-    "n=200 (def):\n",
-    "Qpeak = 0.25125628140703515\n",
-    "maxbal = 0.3585219071071706\n",
-    "br_crit = 4.667153206033017e-5\n",
-    "\"\"\"\n",
-    "\n",
-    "#Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=-.2, Qmax=0.5, n=10000)\n",
-    "\n",
-    "println(\"Qpeak = \", Qpeak)\n",
-    "println(\"maxbal = \", maximum(bal_positive))\n",
-    "println(\"maxbal = \", maximum(bal))\n",
-    "println(\"br_crit = \", brcrit)\n",
-    "\n",
-    "p1 = plot(Qs, bal, lw=2, label=\"balance\")#,ylim=(-40, 40))\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "p2 = plot(Qs, -imag(Δs), lw=2, label=\"Im(Δs)\")#,ylim=(-.2,.05))#,xlim=(-.11,-.09))\n",
-    "plot!(p2, Qs, real(Δs), lw=2, label=\"Re(Δs)\")\n",
-    "#vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "#hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"Δs\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "\"\"\"\n",
-    "#remake plot 1 but of derivative of balance with respect to Q\n",
-    "dQ = Qs[2] - Qs[1]\n",
-    "dbal_dQ = diff(bal) ./ dQ\n",
-    "p3 = plot(Qs[1:end-1], dbal_dQ, lw=2, label=\"d(balance)/dQ\",ylim=(-1000, 1000))\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"d(balance)/dQ\")\n",
-    "\"\"\"\n",
-    "plo = plot(p1, p2, layout=(2,1), size=(800, 1000))\n",
-    "display(plo)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "\n",
-    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\n",
-    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"jxb\")\n",
-    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
-    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "xlabel!(p3, \"Q\")\n",
-    "ylabel!(p3, \"balance\")\n",
-    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "\n",
-    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Check torque is balanced\n",
-    "\n",
-    "viscous_torque = 2*tb.P*(tb.Q0 - Qpeak)\n",
-    "electromagnetic_torque = -imag(1.0 / (Δs[Qpeak_ind] + 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
-    "\n",
-    "# delta_n_p = 1e-2\n",
-    "# jxb = -imag(1.0 / (Δ + delta_n_p))\n",
-    "# bal = 2.0 * tb.P * (tb.Q0 - Q) / jxb\n",
-    "# br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
-    "\n",
-    "@printf(\"br_crit = %.5e\\n\", brcrit)\n",
-    "@printf(\"viscous_torque = %.5e\\n\", viscous_torque)\n",
-    "@printf(\"electromagnetic_torque = %.5e\\n\", electromagnetic_torque)\n",
-    "@printf(\"ratio = %.10f\\n\", viscous_torque / electromagnetic_torque)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Qs_n, bal_n, Qs_positive_n, bal_positive_n, Qpeak_n, brcrit_n, Qpeak_ind_n, Δs_n = torque_balance_scan(tb,Qmin=-3, Qmax=3, n=2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "10",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sample_number = [2, 3, 4, 5, 10,100,1000]#,10000,100000]#,1000000]\n",
-    "b_crit = []\n",
-    "# make dicts to store Qs_n and Δs_n arrays for each sample number\n",
-    "Qs_n_dict = Dict{Int, Vector{Float64}}()\n",
-    "bal_n_dict = Dict{Int, Vector{Float64}}()\n",
-    "for i in sample_number\n",
-    "    Qs_n, bal_n, Qs_positive_n, bal_positive_n, Qpeak_n, brcrit_n, Qpeak_ind_n, Δs_n = torque_balance_scan(tb,Qmin=-3, Qmax=3, n=i)\n",
-    "    push!(b_crit, brcrit_n)\n",
-    "    push!(Qs_n_dict, i => Qs_n)\n",
-    "    push!(bal_n_dict, i => bal_n)\n",
-    "    println(bal_n)\n",
-    "end\n",
-    "\n",
-    "# add bcrit = 3.50601e-03 for n=100000 to b_crit\n",
-    "#push!(b_crit, 3.50601e-03)\n",
-    "\n",
-    "# make a plot of b_crit vs sample_number \n",
-    "p1 = plot(sample_number, b_crit,\n",
-    "    lw=2,\n",
-    "    label=\"b_crit\",\n",
-    "    #xscale=:log10,\n",
-    "    #yscale=:log10,\n",
-    "    xlabel=\"Sample Number\",\n",
-    "    ylabel=\"b_crit\")\n",
-    "\n",
-    "p2 = plot(\n",
-    "    xlabel=\"Q\",\n",
-    "    ylabel=\"balance\",\n",
-    "    title=\"Torque balance vs Q\"\n",
-    ")\n",
-    "\n",
-    "for i in sample_number[1:end-1]\n",
-    "    plot!(p2, Qs_n_dict[i], bal_n_dict[i],\n",
-    "        lw=2,\n",
-    "        label=\"n=$i\")\n",
-    "end\n",
-    "\n",
-    "p3 = plot(layout=(3, 2), size=(1000, 800))\n",
-    "\n",
-    "for (k, i) in enumerate(sample_number[1:end-1])\n",
-    "    plot!(\n",
-    "        p3[k],\n",
-    "        Qs_n_dict[i],\n",
-    "        bal_n_dict[i],\n",
-    "        lw=2,\n",
-    "        label=\"n=$i\",\n",
-    "        xlabel=\"Q\",\n",
-    "        ylabel=\"balance\",\n",
-    "        title=\"n = $i\"\n",
-    "    )\n",
-    "end\n",
-    "\n",
-    "display(p1)\n",
-    "display(p2)\n",
-    "display(p3)\n",
-    "\n",
-    "\n",
-    "println(\"b_crit = \", b_crit)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "11",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "println(b_crit)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "12",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "bcrit = Any[0.0014075170156654356, 0.0015190532807794722, 0.0015297173529485084, 0.0015297510027746748, 0.0015297613496804952, 0.0015297692159317363, 0.004702965572292843]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "13",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Serialization\n",
-    "\n",
-    "# serialize(\"Qs_n_dict.jls\", Qs_n_dict)\n",
-    "# serialize(\"bal_n_dict.jls\", bal_n_dict)\n",
-    "# serialize(\"b_crit.jls\", b_crit)\n",
-    "# serialize(\"sample_number.jls\", sample_number)\n",
-    "#my_dict = deserialize(\"my_dict.jls\")\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "14",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\n",
-    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=-2.5, Qmax=0, n=20000)\n",
-    "\n",
-    "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for q in Qs] #(q, jxb) in zip(Qs, jxbs)]\n",
-    "br_t = brcrit\n",
-    "println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", 1e-2)\n",
-    "@printf(\"br_crit = %.5e\\n\", brcrit)\n",
-    "#T_EM = tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs\n",
-    "T_EM = -imag(1.0 ./ (Δs .+ 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
-    "i = Qpeak_ind\n",
-    "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
-    "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
-    "println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
-    "\n",
-    "#T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
-    "#T_visc ∝ 2 P (Q0 − Q)\n",
-    "\n",
-    "xmi = -2.5\n",
-    "xma = 0\n",
-    "\n",
-    "\"\"\"\n",
-    "p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2, xlim=(xmi, xma))\n",
-    "#plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "#title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\"\"\"\n",
-    "\n",
-    "p1 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(-1000,1000))\n",
-    "plot!(p1, Qs, T_EM, label=\"T_EM\", lw=2)\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Torque\")\n",
-    "\n",
-    "#p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "p2 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(0,500))\n",
-    "plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"Torque\")\n",
-    "#title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2, xlim=(xmi, xma))\n",
-    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "ylabel!(p3, \"Torque Balance\")\n",
-    "#title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "xlabel!(p3, \"Q\")\n",
-    "vline!([Qpeak], label=\"Max Balance\", linestyle=:dash)\n",
-    "\n",
-    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "15",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Recreate Cihan's plot:\n",
-    "\n",
-    "using Plots\n",
-    "using DataInterpolations\n",
-    "\n",
-    "default(\n",
-    "    fontfamily=\"Georgia\",\n",
-    "    grid=false,\n",
-    "    linewidth=2,\n",
-    "    guidefontsize=26,\n",
-    "    tickfontsize=18,\n",
-    "    titlefontsize=30,\n",
-    "    legendfontsize=18,\n",
-    "    size=(1200, 800),\n",
-    "    dpi=150\n",
-    ")\n",
-    "\n",
-    "# Build the critical boundary bcrit(Q0)\n",
-    "Q0_scan = range(-1.0, 4.5; length=80)\n",
-    "bcrit_curve = Float64[]\n",
-    "\n",
-    "for Q0 in Q0_scan\n",
-    "    tbQ = TorqueBalance(\n",
-    "        tb.model,\n",
-    "        tb.params,\n",
-    "        Float64(Q0),\n",
-    "        tb.P,\n",
-    "        tb.delta_n_p,\n",
-    "        tb.lu,\n",
-    "        tb.sval\n",
-    "    )\n",
-    "\n",
-    "    Qs, bal, Qs_pos, bal_pos, Qpeak, brcrit, Qpeak_ind, Δs =\n",
-    "        torque_balance_scan(tbQ; Qmin=-10.0, Qmax=10.0, n=250)\n",
-    "\n",
-    "    if isempty(bal_pos) || !all(isfinite.(bal_pos)) || maximum(bal_pos) <= 0\n",
-    "        push!(bcrit_curve, NaN)\n",
-    "    else\n",
-    "        push!(bcrit_curve, brcrit)\n",
-    "    end\n",
-    "end\n",
-    "\n",
-    "ok = isfinite.(bcrit_curve)\n",
-    "Q0_plot = Q0_scan[ok]\n",
-    "bcrit_plot = bcrit_curve[ok]\n",
-    "\n",
-    "perm = sortperm(Q0_plot)\n",
-    "Q0_plot = Q0_plot[perm]\n",
-    "bcrit_plot = bcrit_plot[perm]\n",
-    "\n",
-    "# Interpolate the boundary: bcrit = f(Q0)\n",
-    "curve_itp = LinearInterpolation(bcrit_plot, Q0_plot)\n",
-    "\n",
-    "# Full phase-box bounds\n",
-    "x0 = minimum(bcrit_plot) * 0.8\n",
-    "x1 = maximum(bcrit_plot) * 1.2\n",
-    "y0 = minimum(Q0_plot)\n",
-    "y1 = maximum(Q0_plot)\n",
-    "\n",
-    "xvals = range(x0, x1; length=350)\n",
-    "yvals = range(y0, y1; length=350)\n",
-    "\n",
-    "locked_mask = zeros(Float64, length(yvals), length(xvals))\n",
-    "for iy in eachindex(yvals)\n",
-    "    y = yvals[iy]\n",
-    "    for ix in eachindex(xvals)\n",
-    "        x = xvals[ix]\n",
-    "        # locked when bcrit exceeds the boundary for that Q0\n",
-    "        locked_mask[iy, ix] = x >= curve_itp(y) ? 1.0 : 0.0\n",
-    "    end\n",
-    "end\n",
-    "\n",
-    "p = contourf(\n",
-    "    xvals, yvals, locked_mask',\n",
-    "    levels=[-0.5, 0.5, 1.5],\n",
-    "    c=[:navy, :firebrick],\n",
-    "    colorbar=false,\n",
-    "    xlabel=\"b_crit\",\n",
-    "    ylabel=\"Q_0\",\n",
-    "    title=\"Locked / unlocked region\",\n",
-    "    framestyle=:box,\n",
-    "    xlims=(x0, x1),\n",
-    "    ylims=(y0, y1),\n",
-    "    legend=false\n",
-    ")\n",
-    "\n",
-    "# Critical boundary\n",
-    "plot!(p, bcrit_plot, Q0_plot; lw=3, color=:black, label=\"critical boundary\")\n",
-    "\n",
-    "# Critical point\n",
-    "cp_idx = argmax(bcrit_plot)\n",
-    "cp_x = bcrit_plot[cp_idx]\n",
-    "cp_y = Q0_plot[cp_idx]\n",
-    "scatter!(p, [cp_x], [cp_y]; color=:gold, marker=:star5, ms=12, label=\"critical point\")\n",
-    "\n",
-    "# Single legend block with one entry per category\n",
-    "plot!(p, [NaN], [NaN]; color=:firebrick, lw=4, label=\"locked\")\n",
-    "plot!(p, [NaN], [NaN]; color=:navy, lw=4, label=\"unlocked\")\n",
-    "plot!(p, [NaN], [NaN]; color=:black, lw=3, label=\"critical boundary\")\n",
-    "scatter!(p, [NaN], [NaN]; color=:gold, marker=:star5, ms=12, label=\"critical point\")\n",
-    "\n",
-    "plot!(p; legend=:topright)\n",
-    "\n",
-    "display(p)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "16",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "17",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "language_info": {
-   "file_extension": ".jl",
-   "mimetype": "application/julia",
-   "name": "julia"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev_ggj.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev_ggj.ipynb
deleted file mode 100644
index 617d61585..000000000
--- a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev_ggj.ipynb	
+++ /dev/null
@@ -1,298 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Pkg\n",
-    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
-    "Base.active_project()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using GeneralizedPerturbedEquilibrium\n",
-    "using GeneralizedPerturbedEquilibrium: GGJParameters\n",
-    "using GeneralizedPerturbedEquilibrium\n",
-    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
-    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
-    "import GeneralizedPerturbedEquilibrium.InnerLayer.GGJ: sfac\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Plots\n",
-    "default(\n",
-    "    fontfamily=\"Georgia\",\n",
-    "    margin=12Plots.mm,\n",
-    "    size=(800, 500),\n",
-    "    dpi=150\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "struct TorqueBalance\n",
-    "    model\n",
-    "    params\n",
-    "    Q0::Float64\n",
-    "    P::Float64\n",
-    "    delta_n_p::Float64\n",
-    "    lu::Float64\n",
-    "    sval::Float64\n",
-    "end\n",
-    "\n",
-    "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
-    "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
-    "    jxb = -imag(1.0 / (Δ + tb.delta_n_p))\n",
-    "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# You can substitute any valid SLAYERParameters you already have.\n",
-    "# This is just an example skeleton.\n",
-    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
-    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
-    "    omega=0.0, omega_e=4, omega_i=-2,\n",
-    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
-    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
-    ")\n",
-    "\n",
-    "tb = TorqueBalance(\n",
-    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
-    "    p,\n",
-    "    0.5,\n",
-    "    1.0,\n",
-    "    1e-2,\n",
-    "    p.lu,\n",
-    "    p.sval_r\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "p_ggj = GeneralizedPerturbedEquilibrium.InnerLayer.glasser_wang_2020_eq55()\n",
-    "lu_ggj = sfac(p_ggj)\n",
-    "sval_ggj = 0.5\n",
-    "\n",
-    "tb = TorqueBalance(\n",
-    "    GeneralizedPerturbedEquilibrium.InnerLayer.GGJModel(; solver=:galerkin),\n",
-    "    p_ggj,\n",
-    "    0.5,\n",
-    "    1.0,\n",
-    "    1e-2,\n",
-    "    lu_ggj,\n",
-    "    sval_ggj\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "\n",
-    "tau_h=R0*(mu0*rho)**0.5/(nns*sval*bt) ! alfven time across surface\n",
-    "lu=tau_r/tau_h                   ! Lundquist number\n",
-    "Qconv=lu**(1.0/3.0)*tau_h        ! conversion to Qs based on Cole\n",
-    "\n",
-    "! note Q depends on Qconv even if omega is fixed.\n",
-    "Q=Qconv*omega\n",
-    "Q_e=-Qconv*omega_e\n",
-    "Q_i=-Qconv*omega_i\n",
-    "\n",
-    "\"\"\"\n",
-    "2=-lu**(1.0/3.0)*tau_h *OE\n",
-    "OE = -2 "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Qs = range(-5.0, 5.0, length=20)\n",
-    "\n",
-    "vals = [torque_balance_value(tb, q) for q in Qs]\n",
-    "\n",
-    "# 1m 34.7s for length = 2\n",
-    "# 46 m for length = 20\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plot(Qs, real.(vals), label=\"Re(balance)\", lw=2)\n",
-    "plot!(Qs, imag.(vals), label=\"Im(balance)\", lw=2)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"torque balance\")\n",
-    "title!(\"tb(Q)\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing for q in Qs]\n",
-    "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
-    "\n",
-    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\n",
-    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"jxb\")\n",
-    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(vals), label=\"Re(balance)\", lw=2)\n",
-    "plot!(p3, Qs, imag.(vals), label=\"Im(balance)\", lw=2)\n",
-    "xlabel!(p3, \"Q\")\n",
-    "ylabel!(p3, \"balance\")\n",
-    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "\n",
-    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "10",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "println(p.lu^(1/3))\n",
-    "println(p.tauk)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "11",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plt.figure()\n",
-    "for i in OMFIT['GPEC']['OUTPUTS'].keys():\n",
-    "    try:\n",
-    "        print(OMFIT['GPEC']['OUTPUTS'][i]['DATA'][0]['gpec_slayer_torque_balance_m2_n1_out']['bal'].values)\n",
-    "        plt.plot(OMFIT['GPEC']['OUTPUTS'][i]['DATA'][0]['gpec_slayer_torque_balance_m2_n1_out']['inQ'].values, OMFIT['GPEC']['OUTPUTS'][i]['DATA'][0]['gpec_slayer_torque_balance_m2_n1_out']['bal'].values,label=i)\n",
-    "    except:\n",
-    "        continue\n",
-    "plt.axhline(0)\n",
-    "plt.legend()\n",
-    "        \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "12",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing/p.lu^(1 / 3)/p.rs for q in Qs]\n",
-    "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
-    "\n",
-    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\n",
-    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"jxb\")\n",
-    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(vals), label=\"Re(balance)\", lw=2)\n",
-    "plot!(p3, Qs, imag.(vals), label=\"Im(balance)\", lw=2)\n",
-    "xlabel!(p3, \"Q\")\n",
-    "ylabel!(p3, \"balance\")\n",
-    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "\n",
-    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "13",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\n",
-    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"jxb\")\n",
-    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(vals), label=\"Re(balance)\", lw=2)\n",
-    "plot!(p3, Qs, imag.(vals), label=\"Im(balance)\", lw=2)\n",
-    "xlabel!(p3, \"Q\")\n",
-    "ylabel!(p3, \"balance\")\n",
-    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "\n",
-    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
-   ]
-  }
- ],
- "metadata": {
-  "language_info": {
-   "file_extension": ".jl",
-   "mimetype": "application/julia",
-   "name": "julia"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_numerics.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_numerics.ipynb
deleted file mode 100644
index 71ed79d9e..000000000
--- a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_numerics.ipynb	
+++ /dev/null
@@ -1,122 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Pkg\n",
-    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
-    "Base.active_project()\n",
-    "using GeneralizedPerturbedEquilibrium\n",
-    "using GeneralizedPerturbedEquilibrium: Analysis\n",
-    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
-    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
-    "using GeneralizedPerturbedEquilibrium: Tearing\n",
-    "using ..InnerLayer\n",
-    "using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
-    "    SLAYERModel, SLAYERParameters\n",
-    "using Serialization\n",
-    "using Plots\n",
-    "using Printf\n",
-    "default(\n",
-    "    fontfamily=\"Georgia\",\n",
-    "    margin=12Plots.mm,\n",
-    "    size=(800, 500),\n",
-    "    dpi=150\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "bal_n_dict = deserialize(\"bal_n_dict.jls\")\n",
-    "Qs_n_dict = deserialize(\"Qs_n_dict.jls\")\n",
-    "sample_number = deserialize(\"sample_number.jls\")\n",
-    "bcrit = deserialize(\"b_crit.jls\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# make a plot of b_crit vs sample_number \n",
-    "p1 = plot(\n",
-    "    sample_number,\n",
-    "    b_crit,\n",
-    "    lw=2,\n",
-    "    marker=:circle,\n",
-    "    label=\"b_crit\",\n",
-    "    xscale=:log10,\n",
-    "    #yscale=:log10,\n",
-    "    xlabel=\"Sample Number\",\n",
-    "    ylabel=\"b_crit\"\n",
-    ")\n",
-    "\n",
-    "xticks!(p1,\n",
-    "    [5, 10, 100, 1000, 10000, 100000, 1000000],\n",
-    "    [\"5\", \"10\", \"100\", \"1k\", \"10k\", \"100k\", \"1M\"]\n",
-    ")\n",
-    "\n",
-    "p2 = plot(\n",
-    "    xlabel=\"Q\",\n",
-    "    ylabel=\"balance\",\n",
-    "    title=\"Torque balance vs Q\"\n",
-    ")\n",
-    "\n",
-    "for i in sample_number\n",
-    "    plot!(p2, Qs_n_dict[i], bal_n_dict[i],\n",
-    "        lw=2,\n",
-    "        label=\"n=$i\")\n",
-    "end\n",
-    "\n",
-    "p3 = plot(layout=(4, 2), size=(1000, 800))\n",
-    "\n",
-    "for (k, i) in enumerate(sample_number)\n",
-    "    plot!(\n",
-    "        p3[k],\n",
-    "        Qs_n_dict[i],\n",
-    "        bal_n_dict[i],\n",
-    "        lw=2,\n",
-    "        label=\"n=$i\",\n",
-    "        xlabel=\"Q\",\n",
-    "        ylabel=\"balance\",\n",
-    "        title=\"n = $i\"\n",
-    "    )\n",
-    "end\n",
-    "\n",
-    "display(p1)\n",
-    "display(p2)\n",
-    "display(p3)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "println(\"bcrit = $bcrit\")"
-   ]
-  }
- ],
- "metadata": {
-  "language_info": {
-   "file_extension": ".jl",
-   "mimetype": "application/julia",
-   "name": "julia"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/gslayer.txt b/src/Tearing/CriticalResonantField/CRF Dev/gslayer.txt
deleted file mode 100644
index 91cc2f862..000000000
--- a/src/Tearing/CriticalResonantField/CRF Dev/gslayer.txt	
+++ /dev/null
@@ -1,466 +0,0 @@
-      MODULE gslayer_mod
-
-      USE sglobal_mod, ONLY: out_unit, r8, mu0, m_p, chag, lnLamb,
-     $   Q_e,Q_i,pr,pe,c_beta,ds,tau,
-     $   eta,visc,rho_s,lu,omega_e,omega_i,
-     $   delta_n,layfac,
-     $   Q
-      USE delta_mod, ONLY: riccati,riccati_out,
-     $   parflow_flag,PeOhmOnly_flag
-
-      IMPLICIT NONE
-
-c-----------------------------------------------------------------------
-c     torque balance scan resolution. public so that gpout_singfld can
-c     size the netcdf dimension from the same source of truth.
-c-----------------------------------------------------------------------
-      INTEGER, PARAMETER :: slayer_inum=200
-      INTEGER, PARAMETER :: slayer_nref=4
-c-----------------------------------------------------------------------
-c     dedicated logarithmic sampling window bracketing Q_e, the electron
-c     diamagnetic frequency. (Q-Q_e) sits in the denominator of both G
-c     and C3 in delta.f, so the layer solve is singular there; the
-c     coarse scan steps over that neighbourhood with dQ=0.1 and the
-c     adaptive refinement only visits it when the torque-balance peak
-c     happens to land on it. These samples always resolve it, so the
-c     structure can be inspected on every surface rather than only on
-c     the ones that fell into it.
-c
-c     PURELY DIAGNOSTIC: filled after br_th is computed, and tagged
-c     kpass=slayer_qetag so the threshold search cannot see them.
-c     Costs slayer_nqe extra lsode solves per surface (~40% on top of
-c     the 1005 the scan already does).
-c-----------------------------------------------------------------------
-      INTEGER, PARAMETER :: slayer_nqe=400
-      INTEGER, PARAMETER :: slayer_qetag=99
-      REAL(r8), PARAMETER :: slayer_qefar=1.0e-1_r8
-      REAL(r8), PARAMETER :: slayer_qenear=1.0e-9_r8
-      INTEGER, PARAMETER :: slayer_nq=(slayer_inum+1)*(slayer_nref+1)
-     $                               +slayer_nqe
-c-----------------------------------------------------------------------
-c     every term of Cole & Fitzpatrick Eq. (61) on one rational
-c     surface,
-c        Im[Delta]/|alpha+Delta|**2
-c              = 2*P*(Q0-Q)/(S*kappa_hat*(b_r/B_phi)**2)
-c     recorded so the balance can be rebuilt piece by piece and
-c     rescanned in post processing. every component is default
-c     initialized, so both ALLOCATE and INTENT(OUT) leave a well
-c     defined (zero) state even when the layer solve is skipped.
-c
-c     kpass tags the scan pass that produced each sample: 0 for the
-c     coarse scan, 1..slayer_nref for the adaptive refinement passes.
-c-----------------------------------------------------------------------
-      TYPE :: slayer_diag_type
-         REAL(r8), DIMENSION(slayer_nq) :: qs=0.0_r8
-         REAL(r8), DIMENSION(slayer_nq) :: lhs=0.0_r8
-         REAL(r8), DIMENSION(slayer_nq) :: rhs=0.0_r8
-         REAL(r8), DIMENSION(slayer_nq) :: bal=0.0_r8
-         REAL(r8), DIMENSION(slayer_nq) :: brb=0.0_r8
-         COMPLEX(r8), DIMENSION(slayer_nq) :: dlt=(0.0_r8,0.0_r8)
-         INTEGER, DIMENSION(slayer_nq) :: kpass=0
-         REAL(r8) :: alpha=0.0_r8, kaphat=0.0_r8, slun=0.0_r8
-         REAL(r8) :: prnd=0.0_r8, q0v=0.0_r8, qcnv=0.0_r8
-         REAL(r8) :: qev=0.0_r8, qiv=0.0_r8, dsv=0.0_r8
-         REAL(r8) :: cbeta=0.0_r8, tratio=0.0_r8, pev=0.0_r8
-         REAL(r8) :: lfac=0.0_r8, dnorm=0.0_r8, rhos=0.0_r8
-         REAL(r8) :: etav=0.0_r8, viscv=0.0_r8, tauh=0.0_r8
-         REAL(r8) :: taur=0.0_r8, tauv=0.0_r8, taui=0.0_r8
-         REAL(r8) :: shr=0.0_r8, bl=0.0_r8, va=0.0_r8
-         REAL(r8) :: rhom=0.0_r8, lbet=0.0_r8, omg=0.0_r8
-         REAL(r8) :: qsol=0.0_r8, wsol=0.0_r8, brth=0.0_r8
-         REAL(r8) :: mxbal=0.0_r8, qmn=0.0_r8, qmx=0.0_r8
-      END TYPE slayer_diag_type
-
-      CONTAINS
-
-c-----------------------------------------------------------------------
-c     subprogram 1. gpec_slayer.
-c     run slayer to provide b_crit(ising).
-c-----------------------------------------------------------------------
-c-----------------------------------------------------------------------
-c     declarations.
-c-----------------------------------------------------------------------
-      SUBROUTINE gpec_slayer(n_e,t_e,n_i,t_i,zeff,omega,omega_e,
-     $   omega_i,qval,sval,bt,rs,R0,mu_i,inpr,mms,nns,ascii_flag,
-     $     delta,psi0,jxb,omega_sol,br_th,diag,inlayfac,inlayfrac)
-
-      REAL(r8),INTENT(IN) :: n_e,t_e,n_i,t_i,omega,omega_e,omega_i,
-     $     qval,sval,bt,rs,R0,zeff,inpr
-      REAL(r8),INTENT(IN),OPTIONAL :: inlayfac,inlayfrac
-      REAL(r8) :: layfac_max,layfac_frac
-      INTEGER, INTENT(IN) :: mms,nns,mu_i
-      LOGICAL, INTENT(IN) :: ascii_flag
-      COMPLEX(r8),INTENT(OUT) :: delta,psi0
-      REAL(r8),INTENT(OUT) :: jxb,omega_sol,br_th
-      TYPE(slayer_diag_type), INTENT(OUT), OPTIONAL :: diag
-
-      INTEGER :: i,inum
-      INTEGER, DIMENSION(1) :: index
-
-      REAL(r8) :: inQ,inQ_e,inQ_i,inpe,inc_beta,inds,intau,inlu
-      REAL(r8) :: mrs,nrs,rho,b_l,v_a,Qconv,Q0,delta_n_p,
-     $            lbeta,tau_i,tau_h,tau_r,tau_v
-      REAL(r8) :: inQ_min,inQ_max,Q_sol,maxbal
-      INTEGER :: ipass
-      INTEGER, PARAMETER :: nref=slayer_nref
-      REAL(r8) :: xpk,rlo,rhi,rdq,rdqc,xq,bloc,jloc
-      COMPLEX(r8) :: dloc
-
-c     Eq. (61) term capture. cqs/cdlt/clhs/crhs/cbal/cbrb hold every
-c     sample of the coarse and refinement scans, cpass its pass tag,
-c     and iperm the permutation that sorts them by ascending Q.
-      INTEGER :: j,k,kk
-      INTEGER, DIMENSION(slayer_nq) :: iperm,cpass
-      REAL(r8), DIMENSION(slayer_nq) :: cqs,clhs,crhs,cbal,cbrb
-      COMPLEX(r8), DIMENSION(slayer_nq) :: cdlt
-      REAL(r8) :: kaphat,xtmp
-
-      REAL(r8), DIMENSION(:), ALLOCATABLE :: inQs,iinQs,jxbl,bal
-      COMPLEX(r8), DIMENSION(:), ALLOCATABLE :: deltal
-      CHARACTER(3) :: sn,sm
-
-      parflow_flag=.FALSE.
-      PeOhmOnly_flag=.TRUE.
-      riccati_out=.FALSE.
-
-      mrs = real(mms,4)
-      nrs = real(nns,4)
-
-      ! String representations of the m and n mode numbers
-      IF (nns<10) THEN
-         WRITE(UNIT=sn,FMT='(I1)') nns
-         sn=ADJUSTL(sn)
-      ELSE
-         WRITE(UNIT=sn,FMT='(I2)') nns
-      ENDIF
-      IF (mms<10) THEN
-         WRITE(UNIT=sm,FMT='(I1)') mms
-         sm=ADJUSTL(sm)
-      ELSEIF (mms<100) THEN
-         WRITE(UNIT=sm,FMT='(I2)') mms
-         sm=ADJUSTL(sm)
-      ELSE
-         WRITE(UNIT=sm,FMT='(I3)') mms
-      ENDIF
-
-      inpe=0.0                         ! Waybright added this
-
-      tau= t_i/t_e                     ! ratio of ion to electron temperature
-      tau_i = 6.6e17*mu_i**0.5*(t_i/1e3)**1.5/(n_e*lnLamb) ! ion colls.
-      eta= 1.65e-9*lnLamb/(t_e/1e3)**1.5 ! spitzer resistivity (wesson)
-      rho=(mu_i*m_p)*n_e               ! mass density
-
-      b_l=(nrs/mrs)*rs*sval*bt/R0      ! characteristic magnetic field
-      v_a=b_l/(mu0*rho)**0.5           ! alfven velocity
-      rho_s=1.02e-4*(mu_i*t_e)**0.5/bt ! ion Lamour by elec. Temp.
-
-      tau_h=R0*(mu0*rho)**0.5/(nns*sval*bt) ! alfven time across surface
-      tau_r=mu0*rs**2.0/eta            ! resistive time scale
-      tau_v=tau_r/inpr                   ! rho*rs**2.0/visc ! viscous time scale
-
-      ! this one must be anomalous. calculated back from pr.
-      visc= rho*rs**2.0/tau_v
-
-      lu=tau_r/tau_h                   ! Lundquist number
-
-      Qconv=lu**(1.0/3.0)*tau_h        ! conversion to Qs based on Cole
-
-      ! note Q depends on Qconv even if omega is fixed.
-      Q=Qconv*omega
-      Q_e=-Qconv*omega_e
-      Q_i=-Qconv*omega_i
-
-      ! This is the most critical parameter
-      ds=lu**(1.0/3.0)*rho_s/rs        ! conversion based on Cole.
-
-      lbeta=(5.0/3.0)*mu0*n_e*chag*(t_e+t_i)/bt**2.0
-      c_beta=(lbeta/(1.0+lbeta))**0.5
-
-      delta_n=lu**(1.0/3.0)/rs         ! norm factor for delta primes
-
-      inQ=Q
-      inQ_e=Q_e
-      inQ_i=Q_i
-      inc_beta=c_beta
-      inds=ds
-      intau=tau
-      Q0=Q
-c-----------------------------------------------------------------------
-c     set the layer regularization width.
-c
-c     riccati excises a disc of radius layfac around Q_e, where Im[Delta]
-c     has a zero and bal=2P(Q0-Q)/lhs therefore has a pole. Without it the
-c     coarse scan and its refinement walk into that pole and MAXVAL(bal)
-c     returns a threshold set by the scan spacing rather than by the
-c     saddle-node bifurcation. gpec_slayer never assigned layfac, so on
-c     this path the guard was dead.
-c
-c     A fixed width is not safe on every surface: the disc [Q_e-layfac,
-c     Q_e+layfac] can be a large fraction of the physical branch, and on
-c     high-m surfaces it can swallow the turning point or Q0 itself --
-c     quietly, since a number still comes back. So the width is scaled to
-c     the accessible branch |Q0-Q_e| and capped:
-c
-c        layfac_frac > 0 : layfac = MIN(layfac_max, layfac_frac*|Q0-Q_e|)
-c        layfac_frac <= 0: layfac = layfac_max          (fixed width)
-c        layfac_max  <= 0: layfac = 0                   (guard off)
-c
-c     Exposed through gpec.in so the choice is auditable per run; it is a
-c     physics judgement, not a constant.
-c-----------------------------------------------------------------------
-      layfac_max=0.02_r8
-      IF (PRESENT(inlayfac)) layfac_max=inlayfac
-      layfac_frac=0.25_r8
-      IF (PRESENT(inlayfrac)) layfac_frac=inlayfrac
-      IF (layfac_max>0.0_r8) THEN
-         IF (layfac_frac>0.0_r8) THEN
-            layfac=MIN(layfac_max,layfac_frac*ABS(Q0-inQ_e))
-         ELSE
-            layfac=layfac_max
-         ENDIF
-      ELSE
-         layfac=0.0_r8
-      ENDIF
-c-----------------------------------------------------------------------
-c     calculate basic delta, torque, balance, error fields.
-c-----------------------------------------------------------------------
-      delta_n_p=1e-2
-      ! kappa_hat of Eq. (61) is implicit in the br_th expression at the
-      ! end of this routine: sqrt(maxbal/lu*(sval**2/2)) is identically
-      ! sqrt(maxbal/(lu*kappa_hat)) for kappa_hat=2/sval**2. Named here
-      ! for output only; it is never used in a physics expression, so
-      ! the threshold is unchanged.
-      IF (sval/=0.0_r8) THEN
-         kaphat=2.0_r8/sval**2.0
-      ELSE
-         kaphat=0.0_r8
-      ENDIF
-      delta=riccati(inQ,inQ_e,inQ_i,inpr,inc_beta,inds,intau,inpe)
-      psi0=1.0/ABS(delta+delta_n_p)     ! a.u.
-      jxb=-AIMAG(1.0/(delta+delta_n_p)) ! a.u.
-c----------------------------------------------------------------------
-c     find solutions based on simple torque balance.
-c-----------------------------------------------------------------------
-      IF (Q0>inQ_e) THEN
-         inQ_max=2.0*Q0
-         inQ_min=1.05*inQ_e
-      ELSE
-         inQ_max=0.95*inQ_e
-         IF (Q0>0) THEN
-            inQ_min=0.8*inQ_i
-         ELSE
-            inQ_min=1.5*MINVAL((/Q0,inQ_i/))
-         ENDIF
-      ENDIF
-
-      ! Scan of rotation
-      inQ_max=10.0
-      inQ_min=-10.0
-      inum=slayer_inum
-      ALLOCATE(inQs(0:inum),deltal(0:inum),jxbl(0:inum),bal(0:inum))
-      DO i=0,inum
-         inQs(i)=inQ_min+(REAL(i)/inum)*(inQ_max-inQ_min)
-         deltal(i)=riccati(inQs(i),inQ_e,inQ_i,
-     $        inpr,inc_beta,inds,intau,inpe)
-         jxbl(i)=-AIMAG(1.0/(deltal(i)+delta_n_p))
-         bal(i)=2.0*inpr*(Q0-inQs(i))/jxbl(i)
-      ENDDO
-
-      ! Capture the coarse pass (tag 0). This only reads inQs/deltal/
-      ! jxbl/bal, so both the ascii dump and the refinement below are
-      ! bit for bit unchanged. The Eq. (61) right hand side numerator
-      ! is recomputed rather than harvested out of the bal expression
-      ! above; 2.0*inpr*(Q0-inQs(i)) is a pure product chain, so the
-      ! recomputed value is identical to the one formed inline.
-      DO i=0,inum
-         cqs(i+1)=inQs(i)
-         cdlt(i+1)=deltal(i)
-         clhs(i+1)=jxbl(i)
-         crhs(i+1)=2.0*inpr*(Q0-inQs(i))
-         cbal(i+1)=bal(i)
-         cpass(i+1)=0
-      ENDDO
-
-      ! Write torque balance curves to file for diagnostic purposes
-      IF(ascii_flag)THEN
-         OPEN(UNIT=out_unit,FILE="gpec_slayer_torque_balance_m"//
-     $        TRIM(sm)//"_n"//TRIM(sn)//".out",
-     $        STATUS="UNKNOWN")
-         WRITE(out_unit,'(1x,5(a17))') "inQ","RE(delta)",
-     $        "IM(delta)","jxb","bal"
-         DO i=0,inum
-            WRITE(out_unit,'(1x,5(es17.8e3))')
-     $           inQs(i),REAL(deltal(i)),AIMAG(deltal(i)),jxbl(i),bal(i)
-         ENDDO
-         CLOSE(out_unit)
-      ENDIF
-
-      ! The coarse scan above gives the overall torque-balance shape
-      ! and the diagnostic output. The locking "nose" (the maximum of
-      ! bal) can be a very narrow spike near inQ=Q0, however, and the
-      ! coarse grid can step right over it, leaving a spuriously
-      ! negative MAXVAL(bal) and hence a NaN br_th. Bracket the coarse
-      ! maximum and iteratively refine the scan around the running peak
-      ! so the nose is resolved regardless of how narrow it is. Exclude
-      ! non-finite entries (NaN from 0/0, Inf from a near-zero jxbl).
-      index=MAXLOC(bal,MASK=(bal==bal .AND. ABS(bal)<HUGE(bal)))
-      rdqc=(inQ_max-inQ_min)/inum
-      xpk=inQs(index(1))
-      rlo=xpk-2.0*rdqc
-      rhi=xpk+2.0*rdqc
-      maxbal=-HUGE(maxbal)
-      DO ipass=1,nref
-         rdq=(rhi-rlo)/inum
-         DO i=0,inum
-            xq=rlo+REAL(i)*rdq
-            dloc=riccati(xq,inQ_e,inQ_i,inpr,
-     $           inc_beta,inds,intau,inpe)
-            jloc=-AIMAG(1.0/(dloc+delta_n_p))
-            bloc=2.0*inpr*(Q0-xq)/jloc
-            ! capture this refinement sample (tag ipass)
-            k=ipass*(inum+1)+i+1
-            cqs(k)=xq
-            cdlt(k)=dloc
-            clhs(k)=jloc
-            crhs(k)=2.0*inpr*(Q0-xq)
-            cbal(k)=bloc
-            cpass(k)=ipass
-            IF (bloc==bloc .AND. ABS(bloc)<HUGE(bloc)
-     $           .AND. bloc>maxbal) THEN
-               maxbal=bloc
-               xpk=xq
-            ENDIF
-         ENDDO
-         rlo=xpk-2.0*rdq
-         rhi=xpk+2.0*rdq
-      ENDDO
-      Q_sol=xpk
-      omega_sol=xpk/Qconv
-      ! If even the refined nose is non-positive the surface has no
-      ! finite penetration threshold; floor at zero and warn rather
-      ! than propagating a NaN into b_crit/Phi_res_crit downstream.
-      IF (maxbal>0.0_r8) THEN
-         br_th=sqrt(maxbal/lu*(sval**2.0/2.0))
-      ELSE
-         br_th=0.0_r8
-         WRITE(*,'(1x,a,i0,a,i0,a)')
-     $      "!! WARNING: SLAYER torque balance has no positive "//
-     $      "maximum at m=",mms,", n=",nns,"; br_th set to 0"
-      ENDIF
-c-----------------------------------------------------------------------
-c     assemble the Eq. (61) record: b_r/B_phi implied by each balance
-c     point, then merge the coarse and refined samples onto one
-c     ascending Q grid so the narrow nose is densely resolved and the
-c     curve can be interpolated in post processing.
-c-----------------------------------------------------------------------
-      ! Dedicated logarithmic sweep through the Q_e singularity, half
-      ! the samples on each side, |Q-Q_e| running from slayer_qefar in
-      ! to slayer_qenear. br_th is already fixed above and these are
-      ! tagged slayer_qetag, so they are invisible to the peak search.
-      DO i=1,slayer_nqe/2
-         xq=slayer_qefar*(slayer_qenear/slayer_qefar)
-     $      **(REAL(i-1,r8)/REAL(slayer_nqe/2-1,r8))
-         DO j=0,1
-            k=(inum+1)*(nref+1)+(i-1)*2+j+1
-            IF (j==0) THEN
-               cqs(k)=inQ_e-xq
-            ELSE
-               cqs(k)=inQ_e+xq
-            ENDIF
-            cdlt(k)=riccati(cqs(k),inQ_e,inQ_i,inpr,
-     $           inc_beta,inds,intau,inpe)
-            clhs(k)=-AIMAG(1.0/(cdlt(k)+delta_n_p))
-            crhs(k)=2.0*inpr*(Q0-cqs(k))
-            cbal(k)=crhs(k)/clhs(k)
-            cpass(k)=slayer_qetag
-         ENDDO
-      ENDDO
-      ! deliberately the same expression form as br_th above, so the
-      ! peak sample reproduces br_th exactly rather than differing in
-      ! the last bit.
-      DO k=1,slayer_nq
-         IF (cbal(k)==cbal(k) .AND. cbal(k)>0.0_r8
-     $        .AND. ABS(cbal(k))<HUGE(cbal(k))) THEN
-            cbrb(k)=sqrt(cbal(k)/lu*(sval**2.0/2.0))
-         ELSE
-            cbrb(k)=0.0_r8
-         ENDIF
-      ENDDO
-      ! insertion sort of a permutation index, keyed on Q so the key can
-      ! never be NaN. cqs is five already ascending runs, so this is
-      ! cheap next to the slayer_nq lsode solves already done above.
-      ! Duplicates are kept: a refinement bracket can land exactly on a
-      ! coarse abscissa, and the pass tag distinguishes them.
-      DO k=1,slayer_nq
-         iperm(k)=k
-      ENDDO
-      DO k=2,slayer_nq
-         kk=iperm(k)
-         xtmp=cqs(kk)
-         j=k-1
-         DO WHILE (j>=1)
-            IF (cqs(iperm(j))<=xtmp) EXIT
-            iperm(j+1)=iperm(j)
-            j=j-1
-         ENDDO
-         iperm(j+1)=kk
-      ENDDO
-      IF (PRESENT(diag)) THEN
-         DO k=1,slayer_nq
-            kk=iperm(k)
-            diag%qs(k)=cqs(kk)
-            diag%dlt(k)=cdlt(kk)
-            diag%lhs(k)=clhs(kk)
-            diag%rhs(k)=crhs(kk)
-            diag%bal(k)=cbal(kk)
-            diag%brb(k)=cbrb(kk)
-            diag%kpass(k)=cpass(kk)
-         ENDDO
-         ! scalars are taken from the local copies, never from the
-         ! sglobal_mod globals Q/Q_e/Q_i/ds/tau/c_beta/pr/pe: riccati
-         ! overwrites those on every call, so by this point the module
-         ! Q holds the last refinement sample rather than Q0.
-         diag%alpha=delta_n_p
-         diag%kaphat=kaphat
-         diag%slun=lu
-         diag%prnd=inpr
-         diag%q0v=Q0
-         diag%qcnv=Qconv
-         diag%qev=inQ_e
-         diag%qiv=inQ_i
-         diag%dsv=inds
-         diag%cbeta=inc_beta
-         diag%tratio=intau
-         diag%pev=inpe
-         diag%lfac=layfac
-         diag%dnorm=delta_n
-         diag%rhos=rho_s
-         diag%etav=eta
-         diag%viscv=visc
-         diag%tauh=tau_h
-         diag%taur=tau_r
-         diag%tauv=tau_v
-         diag%taui=tau_i
-         diag%shr=sval
-         diag%bl=b_l
-         diag%va=v_a
-         diag%rhom=rho
-         diag%lbet=lbeta
-         diag%omg=omega
-         diag%qsol=Q_sol
-         diag%wsol=omega_sol
-         diag%brth=br_th
-         diag%qmn=inQ_min
-         diag%qmx=inQ_max
-         IF (maxbal>-HUGE(maxbal)) THEN
-            diag%mxbal=maxbal
-         ELSE
-            diag%mxbal=0.0_r8
-         ENDIF
-      ENDIF
-      DEALLOCATE(inQs,deltal,jxbl,bal)
-
-      RETURN
-      END SUBROUTINE gpec_slayer
-
-      END MODULE gslayer_mod
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb
deleted file mode 100644
index d7f16a2b4..000000000
--- a/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb	
+++ /dev/null
@@ -1,395 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Pkg\n",
-    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
-    "Base.active_project()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using GeneralizedPerturbedEquilibrium\n",
-    "using GeneralizedPerturbedEquilibrium: Analysis\n",
-    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
-    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
-    "using GeneralizedPerturbedEquilibrium: Tearing\n",
-    "using ..InnerLayer\n",
-    "using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
-    "    SLAYERModel, SLAYERParameters\n",
-    "\n",
-    "using Plots\n",
-    "using Printf\n",
-    "default(\n",
-    "    fontfamily=\"Georgia\",\n",
-    "    margin=12Plots.mm,\n",
-    "    size=(800, 500),\n",
-    "    dpi=150\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "struct TorqueBalance{M<:InnerLayerModel,P}\n",
-    "    model::M\n",
-    "    params::P\n",
-    "    Q0::Float64\n",
-    "    P::Float64\n",
-    "    lu::Float64\n",
-    "    sval::Float64\n",
-    "end\n",
-    "\n",
-    "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
-    "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
-    "    alpha = 1e-2\n",
-    "    jxb = -imag(1.0 / (Δ + alpha))\n",
-    "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ\n",
-    "end\n",
-    "\n",
-    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=20000)\n",
-    "    Qs = range(Qmin, Qmax; length=n)\n",
-    "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
-    "    bal = [x[1] for x in torque_out]\n",
-    "    Δs = [x[2] for x in torque_out]\n",
-    "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
-    "\n",
-    "    if !any(positive)\n",
-    "        @warn \"No positive torque balance found in the specified range. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
-    "        return Qs, bal, NaN, NaN, NaN, Δs\n",
-    "    end\n",
-    "\n",
-    "    # Find the highest point, then remove candidates within ΔQ of it.\n",
-    "\n",
-    "    idx_maxima = findall(isfinite.(bal) .& (bal .> 0))\n",
-    "    sort!(idx_maxima, by=i -> bal[i], rev=true)\n",
-    "    selected = Int[]\n",
-    "    min_ΔQ = 0.001 * abs(Qmax - Qmin)\n",
-    "\n",
-    "    for i in idx_maxima\n",
-    "        if all(abs(Qs[i] - Qs[j]) > min_ΔQ for j in selected)\n",
-    "            push!(selected, i)\n",
-    "        end\n",
-    "        length(selected) == 2 && break\n",
-    "    end\n",
-    "\n",
-    "    if isempty(selected)\n",
-    "        @warn \"No usable positive torque-balance maximum found. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
-    "        return Qs, bal, NaN, NaN, NaN, Δs\n",
-    "    end\n",
-    "\n",
-    "    idx_maxima = selected\n",
-    "\n",
-    "\n",
-    "    # Find all local maxima in the positive region\n",
-    "    #idx_positive = findall(positive)\n",
-    "    #idx_maxima = idx_positive[partialsortperm(bal[idx_positive], 1:min(2, length(idx_positive)); rev=true)]\n",
-    "    maxima = bal[idx_maxima]\n",
-    "    Qs_maxima = Qs[idx_maxima]\n",
-    "    # find index, q val and bal val of the q closest to Q_e\n",
-    "    idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e)) # + Q_e since Q_e = -omega_e * Qconv\n",
-    "    q_closest_Q_e = Qs[idx_closest_Q_e]\n",
-    "    bal_closest_Q_e = bal[idx_closest_Q_e]\n",
-    "\n",
-    "    # find index, q val and bal val of the q closest to Q_i\n",
-    "    idx_closest_Q_i = argmin(abs.(Qs .+ tb.params.Q_i)) # + Q_i since Q_i = -omega_i * Qconv\n",
-    "    q_closest_Q_i = Qs[idx_closest_Q_i]\n",
-    "    bal_closest_Q_i = bal[idx_closest_Q_i]\n",
-    "    \n",
-    "    println(\"Local maxima indices: \", idx_maxima, \" with values: \", maxima, \" and corresponding Qs: \", Qs_maxima, \" closest Q to Q_e: \", q_closest_Q_e, \" closest Q to Q_i: \", q_closest_Q_i)\n",
-    "    # check if 1st q_maxima is same as Q_e or Q_i from p\n",
-    "    if idx_maxima[1] == idx_closest_Q_e || idx_maxima[1] == idx_closest_Q_i\n",
-    "        if length(idx_maxima) < 2\n",
-    "            @warn \"The first local maximum corresponds to a pole from Q_e or Q_i, but there is no second local maximum to select. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
-    "            return Qs, bal, NaN, NaN, NaN, Δs\n",
-    "        end\n",
-    "        println(\"Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.\")\n",
-    "        if idx_maxima[2] == idx_closest_Q_e || idx_maxima[2] == idx_closest_Q_i\n",
-    "            @warn \"Both the first and second local maxima correspond to poles from Q_e or Q_i. Unable to select a valid local maximum. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
-    "            return Qs, bal, NaN, NaN, NaN, Δs\n",
-    "        end\n",
-    "        idx_maximum = idx_maxima[2]\n",
-    "        maximum = bal[idx_maximum]\n",
-    "        Qmaximum = Qs[idx_maximum]\n",
-    "    else\n",
-    "        idx_maximum = idx_maxima[1]\n",
-    "        maximum = bal[idx_maximum]\n",
-    "        Qmaximum = Qs[idx_maximum]\n",
-    "    end\n",
-    "\n",
-    "    println(\"Selected local maximum index: \", idx_maximum, \" with value: \", maximum, \" and corresponding Q: \", Qmaximum)\n",
-    "\n",
-    "    br_crit = sqrt(maximum / tb.lu * (tb.sval^2 / 2.0))\n",
-    "\n",
-    "    return Qs, bal, Qmaximum, br_crit, idx_maximum, Δs\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
-    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
-    "    omega=0.0, omega_e=40, omega_i=-20,\n",
-    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
-    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
-    ")\n",
-    "p = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
-    "    ising=p.ising,\n",
-    "    m=p.m, n=p.n,\n",
-    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
-    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
-    "    Q_e=2, Q_i=3, iota_e=p.iota_e,\n",
-    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
-    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
-    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
-    "    eta=p.eta, d_beta=p.d_beta,\n",
-    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
-    ")\n",
-    "\n",
-    "tb = TorqueBalance(\n",
-    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
-    "    p,\n",
-    "    0.5,\n",
-    "    61.0, #1.0\n",
-    "    p.lu,\n",
-    "    p.sval_r\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Qs, bal, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=-2.5, Qmax=0, n=200000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Qmax = 10\n",
-    "Qmin = -10\n",
-    "positive = isfinite.(bal) .& (bal .> 0.0)\n",
-    "\n",
-    "if !any(positive)\n",
-    "    @warn \"No positive torque balance found in the specified range. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
-    "    return Qs, bal, NaN, NaN, NaN, Δs\n",
-    "end\n",
-    "\n",
-    "# Find the highest point, then remove candidates within ΔQ of it.\n",
-    "\n",
-    "idx_maxima = findall(isfinite.(bal) .& (bal .> 0))\n",
-    "sort!(idx_maxima, by=i -> bal[i], rev=true)\n",
-    "selected = Int[]\n",
-    "min_ΔQ = 0.001 * abs(Qmax - Qmin)\n",
-    "\n",
-    "for i in idx_maxima\n",
-    "    if all(abs(Qs[i] - Qs[j]) > min_ΔQ for j in selected)\n",
-    "        push!(selected, i)\n",
-    "    end\n",
-    "    length(selected) == 2 && break\n",
-    "end\n",
-    "\n",
-    "if isempty(selected)\n",
-    "    @warn \"No usable positive torque-balance maximum found. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
-    "    return Qs, bal, NaN, NaN, NaN, Δs\n",
-    "end\n",
-    "\n",
-    "idx_maxima = selected\n",
-    "\n",
-    "\n",
-    "# Find all local maxima in the positive region\n",
-    "#idx_positive = findall(positive)\n",
-    "#idx_maxima = idx_positive[partialsortperm(bal[idx_positive], 1:min(2, length(idx_positive)); rev=true)]\n",
-    "maxima = bal[idx_maxima]\n",
-    "Qs_maxima = Qs[idx_maxima]\n",
-    "# find index, q val and bal val of the q closest to Q_e\n",
-    "idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e)) # + Q_e since Q_e = -omega_e * Qconv\n",
-    "q_closest_Q_e = Qs[idx_closest_Q_e]\n",
-    "bal_closest_Q_e = bal[idx_closest_Q_e]\n",
-    "\n",
-    "# find index, q val and bal val of the q closest to Q_i\n",
-    "idx_closest_Q_i = argmin(abs.(Qs .+ tb.params.Q_i)) # + Q_i since Q_i = -omega_i * Qconv\n",
-    "q_closest_Q_i = Qs[idx_closest_Q_i]\n",
-    "bal_closest_Q_i = bal[idx_closest_Q_i]\n",
-    "\n",
-    "println(\"Local maxima indices: \", idx_maxima, \" with values: \", maxima, \" and corresponding Qs: \", Qs_maxima, \" closest Q to Q_e: \", q_closest_Q_e, \" closest Q to Q_i: \", q_closest_Q_i)\n",
-    "# check if 1st q_maxima is same as Q_e or Q_i from p\n",
-    "if idx_maxima[1] == idx_closest_Q_e || idx_maxima[1] == idx_closest_Q_i\n",
-    "    if length(idx_maxima) < 2\n",
-    "        @warn \"The first local maximum corresponds to a pole from Q_e or Q_i, but there is no second local maximum to select. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
-    "        return Qs, bal, NaN, NaN, NaN, Δs\n",
-    "    end\n",
-    "    println(\"Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.\")\n",
-    "    if idx_maxima[2] == idx_closest_Q_e || idx_maxima[2] == idx_closest_Q_i\n",
-    "        @warn \"Both the first and second local maxima correspond to poles from Q_e or Q_i. Unable to select a valid local maximum. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
-    "        return Qs, bal, NaN, NaN, NaN, Δs\n",
-    "    end\n",
-    "    idx_maximum = idx_maxima[2]\n",
-    "    maximum = bal[idx_maximum]\n",
-    "    Qmaximum = Qs[idx_maximum]\n",
-    "else\n",
-    "    idx_maximum = idx_maxima[1]\n",
-    "    maximum = bal[idx_maximum]\n",
-    "    Qmaximum = Qs[idx_maximum]\n",
-    "end\n",
-    "\n",
-    "println(\"Selected local maximum index: \", idx_maximum, \" with value: \", maximum, \" and corresponding Q: \", Qmaximum)\n",
-    "\n",
-    "br_crit = sqrt(maximum / tb.lu * (tb.sval^2 / 2.0))\n",
-    "\n",
-    "println(Qmaximum, br_crit, idx_maximum)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for q in Qs] #(q, jxb) in zip(Qs, jxbs)]\n",
-    "#br_t = brcrit\n",
-    "#println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", 1e-2)\n",
-    "#@printf(\"br_crit = %.5e\\n\", brcrit)\n",
-    "#T_EM = tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs\n",
-    "T_EM = -imag(1.0 ./ (Δs .+ 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
-    "i = Qpeak_ind\n",
-    "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
-    "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
-    "println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
-    "\n",
-    "#T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
-    "#T_visc ∝ 2 P (Q0 − Q)\n",
-    "\n",
-    "xmi = -2.5\n",
-    "xma = 0\n",
-    "\n",
-    "\"\"\"\n",
-    "p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2, xlim=(xmi, xma))\n",
-    "#plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "#title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\"\"\"\n",
-    "\n",
-    "p1 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(-1000,1000))\n",
-    "plot!(p1, Qs, T_EM, label=\"T_EM\", lw=2)\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Torque\")\n",
-    "\n",
-    "#p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "p2 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(0,500))\n",
-    "plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"Torque\")\n",
-    "#title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2, xlim=(xmi, xma)) #xlim=(-1.3,-.8),ylim=(375,389))#\n",
-    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "loc_max_ind= [4001, 10050, 10094, 10186, 10195, 10213, 10258, 10272, 10340, 10355, 10365, 10376, 10385, 10387, 10392, 10405, 10412, 10421, 10430, 10443, 10450, 10457, 10470, 10473, 10494, 10498, 10512, 10520, 10537, 10544, 10552, 10557, 10573, 10576, 10578, 10586, 10588, 10596, 10606, 10610, 10632, 10637, 10648, 10655, 10659, 10665, 10670, 10676, 10679, 10691, 10695, 10697, 10705, 10707, 10719, 10730, 10742, 10746, 10751, 10755, 10761, 10765, 10770, 10776, 10778, 10783, 10786, 10788, 10793, 10798, 10810, 10814, 10821, 10824, 10829, 10834, 10837, 10841, 10843, 10847, 10849, 10856, 10858, 10861, 10863, 10868, 10871, 10877, 10881, 10887, 10892, 10895, 10897, 10900, 10904, 10906, 10909, 10911, 10916, 10918, 10923, 10929, 10931, 10933, 10937, 10942, 10945, 10950, 10955, 10959, 10963, 10969, 10971, 10974, 10976, 10981, 10984, 10988, 10991, 10994, 10997, 11001, 11003, 11005, 11012, 11015, 11018, 11021, 11024, 11027, 11029, 11031, 11033, 11036, 11039, 11042, 11044, 11048, 11053, 11056, 11058, 11060, 11062, 11064, 11068, 11078, 11080, 11083, 11085, 11096, 11098, 11100, 11102, 11104, 11106, 11109, 11111, 11116, 11119, 11121, 11128, 11131, 11133, 11139, 11145, 11148, 11150, 11152, 11155, 11157, 11162, 11165, 11169, 11174, 11180, 11183, 11186, 11188, 11205, 11218, 11220, 11222, 11224, 11228, 11233, 11235, 11243, 11249, 11254, 11257, 11259, 11276, 11281, 11294, 11299, 11303, 11306, 11312, 11316, 11319, 11322, 11335, 11341, 11358, 11369, 11376, 11381, 11386, 11391, 11394, 11396, 11399, 11406, 11410, 11417, 11420, 11422, 11428, 11437, 11446, 11448, 11453, 11457, 11469, 11473, 11486, 11497, 11513, 11540, 11542, 11544, 11552, 11554, 11565, 11570, 11573, 11578, 11587, 11594, 11597, 11602, 11614, 11620, 11633, 11654, 11660, 11662, 11669, 11677, 11682, 11687, 11711, 11764, 11804, 11806, 11821, 11848, 11860, 11882, 11901, 11928, 11991, 12108]\n",
-    "#plot!(p3, Qs[loc_max_ind], bal[loc_max_ind], seriestype=:scatter, label=\"Local Maxima\", color=:red)\n",
-    "loc_mx2 = [4001, 10963, 10955, 10950, 11005]\n",
-    "#plot!(p3, Qs[loc_mx2], bal[loc_mx2], seriestype=:scatter, label=\"Local Maxima 2\", color=:green)\n",
-    "ylabel!(p3, \"Torque Balance\")\n",
-    "#title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "xlabel!(p3, \"Q\")\n",
-    "vline!([Qpeak], label=\"Max Balance\", linestyle=:dash)\n",
-    "\n",
-    "# find index, q val and bal val of the q closest to Q_e\n",
-    "println(\"Q_e: \", -tb.params.Q_e)\n",
-    "idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e))\n",
-    "q_closest_Q_e = Qs[idx_closest_Q_e]\n",
-    "bal_closest_Q_e = bal[idx_closest_Q_e]\n",
-    "println(\"Closest Q to Q_e: \", q_closest_Q_e, \" with balance value: \", bal_closest_Q_e, \" at index: \", idx_closest_Q_e)\n",
-    "println(\"B crit: \", brcrit)\n",
-    "vline!([-tb.params.Q_e], label=\"Q_e\", linestyle=:dashdot, color=:orange)\n",
-    "vline!([q_closest_Q_e], label=\"Closest Q to Q_e\", linestyle=:dashdot, color=:purple)\n",
-    "\n",
-    "#plot(p1, p2, p3, layout=(3,1), size=(800, 1000))\n",
-    "plot(p3, layout=(1,1), size=(800, 1000))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# compare Q_e to Q of max(bal)\n",
-    "println(\"-Q_e = \", -p.Q_e, \" Q_i = \", p.Q_i, \" Q_peak = \", Qpeak, \" br_crit = \", brcrit)\n",
-    "# check if |Qpeak+Q_e| < 1e-2\n",
-    "println(\"|Qpeak + Q_e| = \", abs(Qpeak + p.Q_e))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Check torque is balanced\n",
-    "\n",
-    "viscous_torque = 2*tb.P*(tb.Q0 - Qpeak)\n",
-    "electromagnetic_torque = -imag(1.0 / (Δs[Qpeak_ind] + 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
-    "\n",
-    "# delta_n_p = 1e-2\n",
-    "# jxb = -imag(1.0 / (Δ + delta_n_p))\n",
-    "# bal = 2.0 * tb.P * (tb.Q0 - Q) / jxb\n",
-    "# br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
-    "\n",
-    "@printf(\"br_crit = %.5e\\n\", brcrit)\n",
-    "@printf(\"viscous_torque = %.5e\\n\", viscous_torque)\n",
-    "@printf(\"electromagnetic_torque = %.5e\\n\", electromagnetic_torque)\n",
-    "@printf(\"ratio = %.10f\\n\", viscous_torque / electromagnetic_torque)"
-   ]
-  }
- ],
- "metadata": {
-  "language_info": {
-   "file_extension": ".jl",
-   "mimetype": "application/julia",
-   "name": "julia"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/sample_number.jls b/src/Tearing/CriticalResonantField/CRF Dev/sample_number.jls
deleted file mode 100644
index c320ccaa9d62b84e8037da421fd24ccf2da49346..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 68
ucmXr_@{wa<U|<ks;CRLgq(OiSLNTO3=@-lphJZSRUeLw}W;i(UgJ}T6Yz067

diff --git a/src/Tearing/CriticalResonantField/CriticalResonantField.jl b/src/Tearing/CriticalResonantField/CriticalResonantField.jl
index 1fe90461a..b51360cd0 100644
--- a/src/Tearing/CriticalResonantField/CriticalResonantField.jl
+++ b/src/Tearing/CriticalResonantField/CriticalResonantField.jl
@@ -9,6 +9,7 @@ module CriticalResonantField
 
 using LinearAlgebra
 using StaticArrays
+using Printf
 
 using ..InnerLayer
 using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,
diff --git a/src/Tearing/CriticalResonantField/TorqueBalance.jl b/src/Tearing/CriticalResonantField/TorqueBalance.jl
index cd74535ea..76042479d 100644
--- a/src/Tearing/CriticalResonantField/TorqueBalance.jl
+++ b/src/Tearing/CriticalResonantField/TorqueBalance.jl
@@ -55,7 +55,7 @@ Returns the Q values, torque balance values, positive Q values, positive torque
 the Q value at the peak, the critical resonant field, the index of the peak Q value, and the Δ values for each Q.
 """
 
-function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=20000)
+function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=2000)
     Qs = range(Qmin, Qmax; length=n)
     torque_out = [torque_balance_value(tb, q) for q in Qs]
     bal = [x[1] for x in torque_out]
@@ -100,16 +100,12 @@ function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=20000)
     bal_closest_Q_i = bal[idx_closest_Q_i]
 
     println(
-        "Local maxima indices: ",
-        idx_maxima,
-        " with values: ",
-        maxima,
-        " and corresponding Qs: ",
-        Qs_maxima,
-        " closest Q to Q_e: ",
-        q_closest_Q_e,
+        "Highest Qs: ",
+        [@sprintf("%.2f", q) for q in Qs_maxima],
+        ", Closest Q to Q_e: ",
+        @sprintf("%.2f", q_closest_Q_e),
         " closest Q to Q_i: ",
-        q_closest_Q_i
+        @sprintf("%.2f", q_closest_Q_i)
     )
 
     # check if 1st q_maxima is same as Q_e or Q_i from p
@@ -118,7 +114,7 @@ function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=20000)
             @warn "The first local maximum corresponds to a pole from Q_e or Q_i, but there is no second local maximum to select. Try increasing the number of Q samples scanned or adjusting the range."
             return Qs, bal, NaN, NaN, NaN, Δs
         end
-        println("Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.")
+        @warn "The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead."
         if idx_maxima[2] == idx_closest_Q_e || idx_maxima[2] == idx_closest_Q_i
             @warn "Both the first and second local maxima correspond to poles from Q_e or Q_i. Unable to select a valid local maximum. Try increasing the number of Q samples scanned or adjusting the range."
             return Qs, bal, NaN, NaN, NaN, Δs
@@ -132,9 +128,22 @@ function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=20000)
         Qmaximum = Qs[idx_maximum]
     end
 
-    println("Selected local maximum index: ", idx_maximum, " with value: ", maximum, " and corresponding Q: ", Qmaximum)
-
     br_crit = sqrt(maximum / tb.lu * (tb.sval^2 / 2.0))
 
+    println(
+        "Critical Resonant Field at ",
+        tb.params.m,
+        "/",
+        tb.params.n,
+        " surface: ",
+        @sprintf("%.2e", br_crit),
+        " T at index: ",
+        idx_maximum,
+        " with value: ",
+        @sprintf("%.2f", maximum),
+        " and corresponding Q: ",
+        @sprintf("%.2f", Qmaximum)
+    )
+
     return Qs, bal, Qmaximum, br_crit, idx_maximum, Δs
 end
diff --git a/src/Tearing/Runner/Control.jl b/src/Tearing/Runner/Control.jl
index bbf297975..d465b8cde 100644
--- a/src/Tearing/Runner/Control.jl
+++ b/src/Tearing/Runner/Control.jl
@@ -20,7 +20,8 @@ constructor.
     Qmin::Float64 = -10.0
     Qmax::Float64 = 10.0
     n::Int = 200
-    angular_momentum_diffusivity::Union{Float64,Vector{Float64}} = 1.0
+    viscous_input_type::String = "angular_momentum_diffusivity" # Either "angular_momentum_diffusivity" or "magnetic_prandtl_number"
+    viscous_input::Any = 1.0
     store_scan::Bool = false
 end
 
diff --git a/src/Tearing/Runner/run_slayer.jl b/src/Tearing/Runner/run_slayer.jl
index 9f1a686d1..aa3756111 100644
--- a/src/Tearing/Runner/run_slayer.jl
+++ b/src/Tearing/Runner/run_slayer.jl
@@ -359,13 +359,15 @@ end
     and the corresponding critical resoannt field values for each rational surface.
 """
 
-function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_result=nothing, profiles=nothing)
+function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_result=nothing, profiles=nothing, chi_prof=nothing)
+    slayer_ctrl = ctrl
+    ctrl = slayer_ctrl.critical_resonant_field
     ctrl.enabled || return empty_critical_resonant_field_result()
 
+    _eval(x, ψ) = x isa Real ? Float64(x) : Float64(x(ψ))
+
     profiles === nothing &&
-        throw(ArgumentError(
-            "CriticalResonantField requires kinetic profiles."
-        ))
+        throw(ArgumentError("CriticalResonantField requires kinetic profiles."))
 
     params = if slayer_result !== nothing && slayer_result.enabled && !isempty(slayer_result.params)
         slayer_result.params
@@ -382,28 +384,65 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
     Q0_vec = Float64[]
     P_vec = Float64[]
     scan_data = NamedTuple[]
-    # check if angular_momentum_diffusivity is list or value
 
-    if isa(ctrl.angular_momentum_diffusivity, AbstractArray)
-        chi_vec = ctrl.angular_momentum_diffusivity
+    if ctrl.viscous_input_type === "angular_momentum_diffusivity"
+        if ctrl.viscous_input === false
+            chi_vec = nothing
+            use_P = false
+        elseif ctrl.viscous_input isa AbstractArray
+            chi_vec = ctrl.viscous_input
+            use_P = false
+        elseif ctrl.viscous_input isa Number
+            chi_vec = fill(ctrl.viscous_input, length(params))
+            use_P = false
+        else
+            throw(ArgumentError("Invalid viscous_input for angular_momentum_diffusivity."))
+        end
+
+    elseif ctrl.viscous_input_type === "magnetic_prandtl_number"
+        chi_vec = nothing
+        use_P = true
+        if ctrl.viscous_input isa AbstractArray
+            P_vec = ctrl.viscous_input
+        elseif ctrl.viscous_input isa Number
+            P_vec = fill(ctrl.viscous_input, length(params))
+        elseif ctrl.viscous_input === false
+            use_P = false
+        else
+            throw(ArgumentError("Invalid viscous_input for magnetic_prandtl_number."))
+        end
+
     else
-        chi_vec = fill(ctrl.angular_momentum_diffusivity, length(params))
+        throw(ArgumentError(
+            "Invalid viscous_input_type: $(ctrl.viscous_input_type). " *
+            "Must be 'angular_momentum_diffusivity' or 'magnetic_prandtl_number'."
+        ))
     end
 
     for (isurf, p) in enumerate(params)
+
         psi_here = intr[isurf].psifac
         omega_here = profiles(psi_here).omega
         Q0_here = p.tauk * omega_here
-        eta_here = p.eta # resistivity at the rational surface
-        chi_here = chi_vec[isurf] # angular momentum diffusivity at the rational surface
-
-        # Note, P = τ_R / τ_V (Cole PoP 2006), τ_R = μ₀ r_s² / η, τ_V = ρ r_s² / μ
-        # Therefore, P = τ_R / τ_V = μ₀ μ / (η ρ), and with χ_φ = μ / ρ, P = μ₀ χ_φ / η
-
-        P_here = (4π * 1e-7) .* abs.(chi_here) ./ eta_here
+        eta_here = p.eta
+
+        if use_P
+            P_here = P_vec[isurf]
+        elseif chi_vec === nothing
+            try
+                chi_here = _eval(chi_prof, psi_here)
+            catch
+                @warn "CriticalResonantField: chi_prof is not provided, using control chi_perp as fallback."
+                chi_here = slayer_ctrl.chi_perp
+            end
+            P_here = (4π * 1e-7) * abs(chi_here) / eta_here
+        else
+            chi_here = chi_vec[isurf]
+            P_here = (4π * 1e-7) * abs(chi_here) / eta_here
+        end
 
         if P_here < 1
-            @warn("CriticalResonantField: P < 1 at surface $isurf (P = $P_here). The model is invalid for P < 1.")
+            @warn "CriticalResonantField: P < 1 at surface $isurf (P = $P_here)."
         end
 
         tb = TorqueBalance(
@@ -416,7 +455,12 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
         )
 
         Qs, bal, Qpeak, br_crit, Qpeak_ind, Δs =
-            torque_balance_scan(tb; Qmin=ctrl.Qmin, Qmax=ctrl.Qmax, n=ctrl.n)
+            torque_balance_scan(
+                tb;
+                Qmin=ctrl.Qmin,
+                Qmax=ctrl.Qmax,
+                n=ctrl.n
+            )
 
         push!(surface_index, isurf)
         push!(Qpeak_vec, Qpeak)
@@ -424,23 +468,24 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
         push!(Q0_vec, Q0_here)
         push!(P_vec, P_here)
 
-        scan_entry = (
-            surface=isurf,
-            Q=collect(Qs),
-            balance=collect(bal),
-            delta=collect(Δs),
-            Qpeak=Qpeak,
-            br_crit=br_crit,
-            Q0=Q0_here,
-            P=P_here,
-            lu=p.lu,
-            sval=p.sval_r,
-            m=p.m,
-            n=p.n,
-            params=p
+        push!(
+            scan_data,
+            (
+                surface=isurf,
+                Q=collect(Qs),
+                balance=collect(bal),
+                delta=collect(Δs),
+                Qpeak=Qpeak,
+                br_crit=br_crit,
+                Q0=Q0_here,
+                P=P_here,
+                lu=p.lu,
+                sval=p.sval_r,
+                m=p.m,
+                n=p.n,
+                params=p
+            )
         )
-        push!(scan_data, scan_entry)
-
     end
 
     return CriticalResonantFieldResult(
@@ -565,8 +610,8 @@ function run_slayer(equil, surfaces::AbstractVector, delta_prime_matrix::Abstrac
     # include critical resonant filed workflow here
     if control.critical_resonant_field.enabled
         slayer_result = run_slayer_from_inputs(params, dp, control; rational_psi=rational_psi, rational_q=rational_q)
-        crf_result = run_critical_resonant_field(equil, surfaces, control.critical_resonant_field;
-            dir_path=dir_path, slayer_result=slayer_result, profiles=profiles)
+        crf_result = run_critical_resonant_field(equil, surfaces, control;
+            dir_path=dir_path, slayer_result=slayer_result, profiles=profiles, chi_prof=chi_perp)
         combined_result = SLAYERResult(
             slayer_result.enabled,
             slayer_result.control,

From 11257123a6ffad2c51a933e8c672f41b16c8a408 Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Thu, 20 Aug 2026 14:23:27 -0400
Subject: [PATCH 8/9] Cleaned up notebooks/ignore

---
 .gitignore                                    |   1 -
 .../slayer_ex.ipynb                           | 257 +-----------------
 2 files changed, 11 insertions(+), 247 deletions(-)

diff --git a/.gitignore b/.gitignore
index 8f463f94f..99ce15eb1 100644
--- a/.gitignore
+++ b/.gitignore
@@ -38,5 +38,4 @@ scratch/
 
 # Local profiling scratch (one-off study scripts, not part of the package)
 profiling/
-examples/b_crit_standalone_example/
 src/Tearing/CriticalResonantField/CRF Dev/
diff --git a/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb b/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
index ed88780dd..4e59b802d 100644
--- a/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
+++ b/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
@@ -6,17 +6,6 @@
    "id": "0",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "using Pkg\n",
-    "Pkg.build(\"GeneralizedPerturbedEquilibrium\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "using Pkg\n",
     "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
@@ -38,74 +27,17 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "h5path = \"/Users/bursche/Documents/GitHub/JPEC_BCRIT/examples/DIIID-like_SLAYER_and_bcrit_example/gpec.h5\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using HDF5\n",
-    "\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    println(\"Top-level keys:\")\n",
-    "    println(collect(keys(file)))\n",
-    "\n",
-    "    if haskey(file, \"Tearing\")\n",
-    "        println(\"\\nKeys in Tearing:\")\n",
-    "        println(collect(keys(file[\"Tearing\"])))\n",
-    "\n",
-    "        if haskey(file[\"Tearing\"], \"CriticalResonantField\")\n",
-    "            println(\"\\nKeys in Tearing/CriticalResonantField:\")\n",
-    "            println(collect(keys(file[\"Tearing\"][\"CriticalResonantField\"])))\n",
-    "        end\n",
-    "    else\n",
-    "        println(\"No Tearing group found.\")\n",
-    "    end\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4",
+   "id": "1",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Print the contents of the Tearing/CriticalResonantField group\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    if haskey(file, \"Tearing\") && haskey(file[\"Tearing\"], \"CriticalResonantField\")\n",
-    "        println(\"\\nContents of Tearing/CriticalResonantField:\")\n",
-    "        # Iterate over the keys in the Tearing/CriticalResonantField group and print their names and types\n",
-    "        for key in keys(file[\"Tearing\"][\"CriticalResonantField\"])\n",
-    "            dataset = file[\"Tearing\"][\"CriticalResonantField\"][key]\n",
-    "            println(\"Key: $key, Type: $(typeof(dataset))\")\n",
-    "            # print data \n",
-    "            if isa(dataset, HDF5.Dataset)\n",
-    "                data = read(dataset)\n",
-    "                println(\"Data: $data\")\n",
-    "            end\n",
-    "        end\n",
-    "    else\n",
-    "        println(\"No Tearing/CriticalResonantField group found.\")\n",
-    "    end\n",
-    "    # Print bcrit data as .2e (in one line)\n",
-    "    println(\"\\nBcrit data: $(join([@sprintf(\"%.2e\", x) for x in read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"])], \" \"))\")\n",
-    "end\n",
-    "\n"
+    "h5path = \"gpec.h5\""
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5",
+   "id": "2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -115,22 +47,14 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7",
+   "id": "3",
    "metadata": {},
    "outputs": [],
    "source": [
     "function bcrit_diag_plots(Δs, Qs, bal, name)\n",
     "\n",
     "    p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "    #plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "    plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
     "    xlabel!(p1, \"Q\")\n",
     "    ylabel!(p1, \"Δ\")\n",
     "    title!(p1, \"Inner-layer Δ(Q) - $name\")\n",
@@ -143,7 +67,6 @@
     "\n",
     "    plot(p1, p2, layout=(2,1), size=(500, 700))\n",
     "\n",
-    "\n",
     "end\n",
     "\n",
     "function plot_all_vs_rational_q(h5path)\n",
@@ -172,184 +95,28 @@
     "        display(fig)\n",
     "        #return fig\n",
     "    end\n",
-    "end\n",
-    "\n",
-    "plot_all_vs_rational_q(h5path)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using GeneralizedPerturbedEquilibrium\n",
-    "using GeneralizedPerturbedEquilibrium: Analysis\n",
-    "using GeneralizedPerturbedEquilibrium.InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
-    "    SLAYERModel, SLAYERParameters, slayer_parameters\n",
-    "using GeneralizedPerturbedEquilibrium.Tearing.CriticalResonantField: TorqueBalance, torque_balance_value, torque_balance_scan\n",
-    "\n",
-    "surface_num = 5\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    sval_r = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"sval\"])\n",
-    "    Q0 = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"Q0\"])\n",
-    "    m = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"m\"])\n",
-    "    n = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"n\"])\n",
-    "    qval = m/n\n",
-    "    Q_e = read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"])[surface_num]\n",
-    "    Q_i = read(file[\"Tearing\"][\"PerSurface\"][\"Q_i\"])[surface_num]\n",
-    "    lu = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"lu\"])\n",
-    "    rs = read(file[\"Tearing\"][\"PerSurface\"][\"rs\"])[surface_num]\n",
-    "    P = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"P\"])\n",
-    "\n",
-    "    p = slayer_parameters( # Call slayer_parameters function to instantiate slab parameters\n",
-    "        n_e=1e19, t_e=1e3, t_i=1e3,\n",
-    "        omega=0.0, omega_e=40, omega_i=-20,\n",
-    "        qval=qval, sval_r=sval_r, bt=2.0, rs=rs, R0=3.0, mu_i=2.0, zeff=1.0,\n",
-    "        chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
-    "    )\n",
-    "    p = SLAYERParameters( # Modify the created SLAYERParameters struct to modify electron and ion diamagnetic resonance frequencies\n",
-    "        ising=p.ising,\n",
-    "        m=p.m, n=p.n,\n",
-    "        tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
-    "        P_perp=p.P_perp, P_tor=p.P_tor,\n",
-    "        Q_e=Q_e, Q_i=Q_i, iota_e=p.iota_e,\n",
-    "        tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
-    "        rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
-    "        dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
-    "        eta=p.eta, d_beta=p.d_beta,\n",
-    "        dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
-    "    )\n",
-    "\n",
-    "    tb = TorqueBalance( # Generate a TorqueBalance struct using the default (Fitzpatrick) SLAYERModel and the modified SLAYERParameters\n",
-    "        SLAYERModel(;),\n",
-    "        p, # Slayer Parameters struct\n",
-    "        Q0, # Normalized rotation Q\n",
-    "        P, # Magnetic Prandtl number\n",
-    "        p.lu, # Lundquist Number\n",
-    "        p.sval_r # r-based magnetic shear\n",
-    "    )\n",
-    "    Qmin = -.2\n",
-    "    Qmax = .2\n",
-    "    Qs, bal, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qmin, Qmax=Qmax, n=1000) # Run actual torque balance scan, finds inner-layer delta across Q vals\n",
-    "\n",
-    "\n",
-    "    jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "    T_VISC = [2.0 * tb.P * (tb.Q0 - q) for q in Qs] #(q, jxb) in zip(Qs, jxbs)]\n",
-    "    T_EM = -imag(1.0 ./ (Δs .+ 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
-    "    i = Qpeak_ind\n",
-    "    println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
-    "    println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
-    "    println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
-    "\n",
-    "    #T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
-    "    #T_visc ∝ 2 P (Q0 − Q)\n",
-    "\n",
-    "\n",
-    "    xmi = Qmin\n",
-    "    xma = Qmax\n",
-    "\n",
-    "    \"\"\"\n",
-    "    p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2, xlim=(xmi, xma))\n",
-    "    #plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "    xlabel!(p1, \"Q\")\n",
-    "    ylabel!(p1, \"Δ\")\n",
-    "    #title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "    \"\"\"\n",
-    "\n",
-    "    p1 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(-1000,1000))\n",
-    "    plot!(p1, Qs, T_EM, label=\"T_EM\", lw=2)\n",
-    "    vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "    xlabel!(p1, \"Q\")\n",
-    "    ylabel!(p1, \"Torque\")\n",
-    "\n",
-    "    #p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "    p2 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(0,500))\n",
-    "    plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
-    "    vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "    xlabel!(p2, \"Q\")\n",
-    "    ylabel!(p2, \"Torque\")\n",
-    "\n",
-    "    p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2, xlim=(xmi, xma),ylim=(-1e-2,1e-2))\n",
-    "    plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "    ylabel!(p3, \"Torque Balance\")\n",
-    "    xlabel!(p3, \"Q\")\n",
-    "    vline!([Qpeak], label=\"Max Balance\", linestyle=:dash)\n",
-    "\n",
-    "    # find index, q val and bal val of the q closest to Q_e\n",
-    "    println(\"Q_e: \", -tb.params.Q_e)\n",
-    "    idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e))\n",
-    "    q_closest_Q_e = Qs[idx_closest_Q_e]\n",
-    "    bal_closest_Q_e = bal[idx_closest_Q_e]\n",
-    "    println(\"Closest Q to Q_e: \", q_closest_Q_e, \" with balance value: \", bal_closest_Q_e, \" at index: \", idx_closest_Q_e)\n",
-    "    println(\"B crit: \", brcrit)\n",
-    "    vline!([-tb.params.Q_e], label=\"Q_e\", linestyle=:dashdot, color=:orange)\n",
-    "    vline!([q_closest_Q_e], label=\"Closest Q to Q_e\", linestyle=:dashdot, color=:purple)\n",
-    "\n",
-    "    #plot(p1, p2, p3, layout=(3,1), size=(800, 1000))\n",
-    "    plot(p3, layout=(1,1))#, size=(800, 1000))\n",
-    "\n",
     "end"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9",
+   "id": "4",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# plot jxb vs Qs for surface 1\n",
-    "# jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "surface_num = 5\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    Δs = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"delta\"])\n",
-    "    Qs = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"Q\"])\n",
-    "    bal = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"balance\"])\n",
-    "    jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "    aplot = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "    xlabel!(\"Q\")\n",
-    "    ylabel!(\"jxb\")\n",
-    "    title!(\"jxb vs Q for surface $(surface_num)\")\n",
-    "    println(\"max of balance: \", maximum(bal))\n",
-    "    println(\"max of jxb: \", maximum(jxbs))\n",
-    "    println(\"bcrit: \", read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"]))\n",
-    "    println(\"Qpeak: \", read(file[\"Tearing\"][\"CriticalResonantField\"][\"Qpeak\"]))\n",
-    "    println(\"Q_e:   \", read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"]))\n",
-    "    # plot balance vs q with bcrit as vertical line\n",
-    "    p2 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2,xlim=(-.2,.2),ylim=(-1e-2,1e-2))\n",
-    "    plot!(p2, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "    xlabel!(p2, \"Q\")\n",
-    "    ylabel!(p2, \"balance\")\n",
-    "    title!(p2, \"2P(Q0-Q)/jxb - surface $(surface_num)\")\n",
-    "    #vline!(p2, [read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"])], label=\"bcrit\", lw=2, lc=:red)\n",
-    "    # add Q_e as vertical line\n",
-    "    vline!(p2, [read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"])[surface_num]], label=\"Q_e\", lw=2, lc=:green)\n",
-    "    vline!(p2, [read(file[\"Tearing\"][\"PerSurface\"][\"Q_i\"])[surface_num]], label=\"Q_i\", lw=2, lc=:blue)\n",
-    "    vline!(p2, [read(file[\"Tearing\"][\"CriticalResonantField\"][\"Qpeak\"])[surface_num]], label=\"Qpeak\", lw=2, lc=:orange)\n",
-    "    #display(aplot)\n",
-    "    display(p2)\n",
-    "\n",
-    "end\n",
-    "\n",
-    "\"\"\"\n",
-    "Local maxima indices: [104, 103] with values: [80.15320925995013, 79.66428209429431] and corresponding Qs: [0.35175879396984927, 0.25125628140703515] closest Q to Q_e: -0.35175879396984927 closest Q to Q_i: 0.35175879396984927\n",
-    "Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.\n",
-    "Selected local maximum index: 103 with value: 79.66428209429431 and corresponding Q: 0.25125628140703515\n",
-    "\"\"\""
+    "plot_all_vs_rational_q(h5path)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "10",
+   "id": "5",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Plot bcrit vs q surface\n",
+    "# Plot All Inner-layer Δ(Q) and Torque Balance vs Q for each rational surface\n",
     "\n",
-    "# print all contents of bcrit /scan /surface 1/\n",
     "h5open(h5path, \"r\") do file\n",
     "    bcrit = file[\"Tearing\"][\"CriticalResonantField\"]\n",
     "\n",
@@ -368,17 +135,15 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "11",
+   "id": "6",
    "metadata": {},
    "outputs": [],
    "source": [
     "p_eq = Analysis.Equilibrium.plot_equilibrium_summary(h5path)\n",
     "p_ffs = Analysis.ForceFreeStates.plot_ffs_summary(h5path)\n",
-    "#p_pe = Analysis.PerturbedEquilibrium.plot_perturbed_equilibrium_summary(h5path)\n",
     "\n",
     "display(p_eq)\n",
-    "display(p_ffs)\n",
-    "#display(p_pe)"
+    "display(p_ffs)"
    ]
   }
  ],

From 674efa402a83310006b724a7fd92aa6b1ac5fbee Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Fri, 21 Aug 2026 10:53:21 -0400
Subject: [PATCH 9/9] Added bcrit profile inputs for angular momentum
 diffusivity

---
 .../gpec.toml                                 |   4 +-
 .../slayer_ex.ipynb                           |  10 +-
 .../TkMkr_D3Dlike_Hmode_kinetic.h5            | Bin 57472 -> 69792 bytes
 src/Tearing/Runner/run_slayer.jl              | 145 +++++++++++++++---
 4 files changed, 132 insertions(+), 27 deletions(-)

diff --git a/examples/DIIID-like_SLAYER_and_bcrit_example/gpec.toml b/examples/DIIID-like_SLAYER_and_bcrit_example/gpec.toml
index b00fad0cc..9b37ce9b4 100644
--- a/examples/DIIID-like_SLAYER_and_bcrit_example/gpec.toml
+++ b/examples/DIIID-like_SLAYER_and_bcrit_example/gpec.toml
@@ -92,6 +92,6 @@ enabled = true                                          # Run CriticalResonantFi
 Qmin = -10                                              # Minimum normalized rotation scanned
 Qmax = 10                                               # Maximum normalized rotation scanned
 n = 2000                                                # Number of rotation points scanned
-viscous_input_type = "angular_momentum_diffusivity"     # Either "angular_momentum_diffusivity" or "magnetic_prandtl_number"
-viscous_input = 1                                       # Either Prandlt number or angular momentum diffusivity (based on viscous_input_type). Takes in either an array across q surfaces, a single value for all, or false, which falls back on chi_perp ~ chi_e, electron thermal diffusivity.
+viscous_input_type = "magnetic_prandtl_number"          # "angular_momentum_diffusivity"     # Either "angular_momentum_diffusivity" or "magnetic_prandtl_number"
+viscous_input = "test_ang_mom_diff"                     # Either Prandlt number or angular momentum diffusivity (based on viscous_input_type). Takes in either a string name for the .h5 profile file, a single value for all, or false, which falls back on chi_perp ~ chi_e, electron thermal diffusivity.
 store_scan = true                                       # Per surface torque and inner layer quantities
diff --git a/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb b/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
index 4e59b802d..1b3ee30f5 100644
--- a/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
+++ b/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
@@ -83,15 +83,21 @@
     "        sval = [read(scan[\"surface_$(i)\"][\"sval\"]) for i in eachindex(rational_q)]\n",
     "        Q0 = [read(scan[\"surface_$(i)\"][\"Q0\"]) for i in eachindex(rational_q)]\n",
     "        max_balance = maximum.(bal)\n",
+    "        #read eta from persurface\n",
+    "        eta = read(tearing[\"PerSurface\"][\"eta\"])\n",
+    "        # Calculate angular momentum diffusivity\n",
+    "        # P_here = (4π * 1e-7) * abs(chi_here) / eta_here\n",
+    "        ang_mom_diff = P .* eta / (4π * 1e-7)\n",
     "\n",
-    "        fig = plot(layout=(3, 2), size=(1000, 1200))\n",
+    "        fig = plot(layout=(4, 2), size=(1000, 1200))\n",
     "        plot!(fig[1], rational_q, bcrit; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Critical Resonant Field (T)\", legend=false)\n",
     "        plot!(fig[2], rational_q, max_balance; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Maximum (Torque Balance)\", legend=false)\n",
     "        plot!(fig[3], rational_q, P; marker=:circle,  lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"P\", legend=false)\n",
     "        plot!(fig[4], rational_q, lu; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Lundquist Number\", legend=false)\n",
     "        plot!(fig[5], rational_q, sval; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Magnetic Shear\", legend=false)\n",
     "        plot!(fig[6], rational_q, Q0; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Q0\", legend=false)\n",
-    "\n",
+    "        plot!(fig[7], rational_q, ang_mom_diff; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Angular Momentum Diffusivity\", legend=false)\n",
+    "        plot!(fig[8], rational_q, eta; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Resistivity (η)\", legend=false)\n",
     "        display(fig)\n",
     "        #return fig\n",
     "    end\n",
diff --git a/examples/DIIID-like_ideal_example/TkMkr_D3Dlike_Hmode_kinetic.h5 b/examples/DIIID-like_ideal_example/TkMkr_D3Dlike_Hmode_kinetic.h5
index 2f084f080315cfd157a6c6ed58ddd06cd72bf2e3..4ee95ff2d875c73e8c03e421e9af12ce6393e823 100644
GIT binary patch
delta 885
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z#Fk9zNB#8;pGe>`=KRwh88XahZd(8!=`^OlG{%)=GK$OZnMwS>s!2(Z;FU>Uq{|Z~
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zt8R2-%1k@~Cp857*jDbh9VvSSKQ^sm!O@oPx^cMTFgLM-tqahO@4DREebf9EPQ@dT
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Ck_^WH

diff --git a/src/Tearing/Runner/run_slayer.jl b/src/Tearing/Runner/run_slayer.jl
index aa3756111..b05b6b403 100644
--- a/src/Tearing/Runner/run_slayer.jl
+++ b/src/Tearing/Runner/run_slayer.jl
@@ -53,7 +53,40 @@ function _load_profiles(control::SLAYERControl, dir_path::AbstractString)
                      cubic_interp(psi_xs, collect(Float64, v))
     chi_perp = _chi_spline(data.chi_e)
     chi_tor = _chi_spline(data.chi_phi)
-    return (profiles=profiles, chi_perp=chi_perp, chi_tor=chi_tor)
+
+    # If present, load viscosity data for the critical resonant field.
+    viscous_input = control.critical_resonant_field.viscous_input
+    if viscous_input isa AbstractString
+        profile_name = String(viscous_input)
+        isempty(profile_name) &&
+            error("run_slayer: CriticalResonantField.viscous_input is an empty profile name.")
+
+        viscous_data = HDF5.h5open(path, "r") do f
+            grp = control.profile_group == "/" ? f : f[control.profile_group]
+
+            haskey(grp, profile_name) ||
+                error("run_slayer: kinetic file '$path' is missing requested " *
+                      "CriticalResonantField profile '$profile_name'.")
+
+            collect(Float64, read(grp[profile_name]))
+        end
+
+        length(viscous_data) == npsi ||
+            error("run_slayer: CriticalResonantField profile '$profile_name' " *
+                  "has length $(length(viscous_data)), expected $npsi.")
+
+        viscous_input = cubic_interp(
+            collect(Float64, data.psi),
+            viscous_data
+        )
+    end
+
+    return (
+        profiles=profiles,
+        chi_perp=chi_perp,
+        chi_tor=chi_tor,
+        viscous_input=viscous_input
+    )
 end
 
 # ---------------------------------------------------------------------
@@ -356,10 +389,17 @@ end
     amplitude that can drive a tearing mode unstable.
 
     Returns a `CriticalResonantFieldResult` containing the critical resonant field
-    and the corresponding critical resoannt field values for each rational surface.
+    and the corresponding critical resonant field values for each rational surface.
 """
 
-function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_result=nothing, profiles=nothing, chi_prof=nothing)
+function run_critical_resonant_field(
+    equil, intr, ctrl;
+    dir_path="./",
+    slayer_result=nothing,
+    profiles=nothing,
+    chi_prof=nothing,
+    viscous_profile=nothing
+)
     slayer_ctrl = ctrl
     ctrl = slayer_ctrl.critical_resonant_field
     ctrl.enabled || return empty_critical_resonant_field_result()
@@ -372,11 +412,17 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
     params = if slayer_result !== nothing && slayer_result.enabled && !isempty(slayer_result.params)
         slayer_result.params
     else
-        throw(ArgumentError("CriticalResonantField requires SLAYERParameters; run SLAYER first or provide compatible params."))
+        throw(ArgumentError(
+            "CriticalResonantField requires SLAYERParameters; " *
+            "run SLAYER first or provide compatible params."
+        ))
     end
 
     all(p -> p isa SLAYERParameters, params) ||
-        throw(ArgumentError("CriticalResonantField requires SLAYERParameters; run SLAYER first or provide compatible params."))
+        throw(ArgumentError(
+            "CriticalResonantField requires SLAYERParameters; " *
+            "run SLAYER first or provide compatible params."
+        ))
 
     surface_index = Int[]
     Qpeak_vec = Float64[]
@@ -385,37 +431,77 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
     P_vec = Float64[]
     scan_data = NamedTuple[]
 
+    chi_vec = nothing
+    P_input = nothing
+    use_P = false
+
     if ctrl.viscous_input_type === "angular_momentum_diffusivity"
+
         if ctrl.viscous_input === false
             chi_vec = nothing
-            use_P = false
+
         elseif ctrl.viscous_input isa AbstractArray
+            length(ctrl.viscous_input) == length(params) ||
+                throw(ArgumentError(
+                    "CriticalResonantField viscous_input has length " *
+                    "$(length(ctrl.viscous_input)), expected $(length(params))."
+                ))
             chi_vec = ctrl.viscous_input
-            use_P = false
+
         elseif ctrl.viscous_input isa Number
-            chi_vec = fill(ctrl.viscous_input, length(params))
-            use_P = false
+            chi_vec = fill(Float64(ctrl.viscous_input), length(params))
+
+        elseif ctrl.viscous_input isa String
+            viscous_profile === nothing &&
+                throw(ArgumentError(
+                    "CriticalResonantField profile " *
+                    "'$(ctrl.viscous_input)' was not loaded."
+                ))
+            chi_vec = viscous_profile
+
         else
-            throw(ArgumentError("Invalid viscous_input for angular_momentum_diffusivity."))
+            throw(ArgumentError(
+                "Invalid viscous_input for angular_momentum_diffusivity."
+            ))
         end
 
     elseif ctrl.viscous_input_type === "magnetic_prandtl_number"
-        chi_vec = nothing
+
         use_P = true
+
         if ctrl.viscous_input isa AbstractArray
-            P_vec = ctrl.viscous_input
+            length(ctrl.viscous_input) == length(params) ||
+                throw(ArgumentError(
+                    "CriticalResonantField viscous_input has length " *
+                    "$(length(ctrl.viscous_input)), expected $(length(params))."
+                ))
+            P_input = ctrl.viscous_input
+
         elseif ctrl.viscous_input isa Number
-            P_vec = fill(ctrl.viscous_input, length(params))
+            P_input = fill(Float64(ctrl.viscous_input), length(params))
+
+        elseif ctrl.viscous_input isa String
+            viscous_profile === nothing &&
+                throw(ArgumentError(
+                    "CriticalResonantField profile " *
+                    "'$(ctrl.viscous_input)' was not loaded."
+                ))
+            P_input = viscous_profile
+
         elseif ctrl.viscous_input === false
             use_P = false
+
         else
-            throw(ArgumentError("Invalid viscous_input for magnetic_prandtl_number."))
+            throw(ArgumentError(
+                "Invalid viscous_input for magnetic_prandtl_number."
+            ))
         end
 
     else
         throw(ArgumentError(
             "Invalid viscous_input_type: $(ctrl.viscous_input_type). " *
-            "Must be 'angular_momentum_diffusivity' or 'magnetic_prandtl_number'."
+            "Must be 'angular_momentum_diffusivity' or " *
+            "'magnetic_prandtl_number'."
         ))
     end
 
@@ -427,20 +513,29 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
         eta_here = p.eta
 
         if use_P
-            P_here = P_vec[isurf]
+            P_here = P_input isa AbstractArray ?
+                     Float64(P_input[isurf]) :
+                     _eval(P_input, psi_here)
+
         elseif chi_vec === nothing
-            try
-                chi_here = _eval(chi_prof, psi_here)
-            catch
+            if chi_prof === nothing
                 @warn "CriticalResonantField: chi_prof is not provided, using control chi_perp as fallback."
                 chi_here = slayer_ctrl.chi_perp
+            else
+                chi_here = _eval(chi_prof, psi_here)
             end
+
             P_here = (4π * 1e-7) * abs(chi_here) / eta_here
+
         else
-            chi_here = chi_vec[isurf]
+            chi_here = chi_vec isa AbstractArray ?
+                       Float64(chi_vec[isurf]) :
+                       _eval(chi_vec, psi_here)
+
             P_here = (4π * 1e-7) * abs(chi_here) / eta_here
         end
 
+
         if P_here < 1
             @warn "CriticalResonantField: P < 1 at surface $isurf (P = $P_here)."
         end
@@ -454,7 +549,7 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
             p.sval_r
         )
 
-        Qs, bal, Qpeak, br_crit, Qpeak_ind, Δs =
+        Qs, bal, Qpeak, br_crit, _, Δs =
             torque_balance_scan(
                 tb;
                 Qmin=ctrl.Qmin,
@@ -607,11 +702,15 @@ function run_slayer(equil, surfaces::AbstractVector, delta_prime_matrix::Abstrac
 
     rational_psi = Float64[surfaces[p.ising].psifac for p in params]
     rational_q = Float64[surfaces[p.ising].q for p in params]
-    # include critical resonant filed workflow here
+    # include critical resonant field workflow here
     if control.critical_resonant_field.enabled
         slayer_result = run_slayer_from_inputs(params, dp, control; rational_psi=rational_psi, rational_q=rational_q)
         crf_result = run_critical_resonant_field(equil, surfaces, control;
-            dir_path=dir_path, slayer_result=slayer_result, profiles=profiles, chi_prof=chi_perp)
+            dir_path=dir_path,
+            slayer_result=slayer_result,
+            profiles=profiles,
+            chi_prof=chi_perp,
+            viscous_profile=loaded.viscous_input)
         combined_result = SLAYERResult(
             slayer_result.enabled,
             slayer_result.control,