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improved experiment phase clarity
now each phase can be translated into a single config object
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docs/experiments.md

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@@ -16,18 +16,22 @@ These phases should be completed sequentially, deepening our understanding at ea
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- Look for critical transition
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- Create log-log plot of cluster size distribution, varying prey death rate
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- Look for power-law
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### Phase 2: finite-size scaling
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### Phase 2: self-organization
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- Measure final prey death rate after evolution
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- Look for self-organized criticality: an SOC-system should move towards the critical point
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### Phase 3: finite-size scaling
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- Sweep of grid sizes at critical point
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- Check for power-law cut-offs
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### Phase 3: sensitivity analysis
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- Show correlation between critical prey death rate and post-evolution prey death rate, varying other parameters
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- Look for self-organized criticality: an SOC-system should move towards the critical point regardless of other parameters
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### Phase 4: sensitivity analysis
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- Show sensitivity of hydra effect varying other parameters
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### Phase 4: perturbation analysis
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- Investigate the ubiquity of the critical point across parameter regimes
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- Show correlation between critical prey death rate and post-evolution prey death rate, varying other parameters
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- Again look for self-organized criticality: an SOC-system should move towards the critical point regardless of other parameters
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### Phase 5: perturbation analysis
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- Create autocorrelation plot of mean population count, following perturbations around the critical point
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- Look for critical slowing down: perturbations to states closer to the critical point should more slowly return to the steady state
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- This requires time series data
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### Phase 5: model extensions
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### Phase 6: model extensions
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- Investigate whether hydra effect and SOC still occur with diffusion and directed movement
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# Todo

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