The forking network generator is incorrect. See 189d810 for the erroneous line.
Problem
This relates to Bernabeu et al. 2020. As described on page 3 of the supplementary information https://www.pnas.org/doi/suppl/10.1073/pnas.2007770117/suppl_file/pnas.2007770117.sapp.pdf Murray's law says that the vessel diameters scale with cube root. With fixed lambda (length/diameter) this means that the lengths also scale with cube root. In the cube the y-height of each bifurcation is taken to scale by 1/2 and the horizontal position is calculated from knowing the vessel length and vessel height. It's this horizontal position which is wrong. The actual vessel length in our forking networks does not match the description in the SI of the paper.
- vessel lengths are not as advertised so the geometry of all forking networks is wrong
- because vessel diameters are scaled correctly this means that lambda is not fixed to expected value
- because the Pries with memory solver uses a hard-coded parent vessel length (which is the expected length not the actual length) the CFL recovery is wrong
- All panels in Figure 4 of the paper have the potential to be wrong https://www.pnas.org/doi/10.1073/pnas.2007770117#fig04
Todo
The forking network generator is incorrect. See 189d810 for the erroneous line.
Problem
This relates to Bernabeu et al. 2020. As described on page 3 of the supplementary information https://www.pnas.org/doi/suppl/10.1073/pnas.2007770117/suppl_file/pnas.2007770117.sapp.pdf Murray's law says that the vessel diameters scale with cube root. With fixed lambda (length/diameter) this means that the lengths also scale with cube root. In the cube the y-height of each bifurcation is taken to scale by 1/2 and the horizontal position is calculated from knowing the vessel length and vessel height. It's this horizontal position which is wrong. The actual vessel length in our forking networks does not match the description in the SI of the paper.
Todo