codegithubka
diff --git a/‎notebooks/fig1_population_dynamics.png‎
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diff --git a/‎notebooks/fig2_cluster_statistics.png‎
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diff --git a/‎notebooks/fig3_cluster_powerlaw.png‎
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diff --git a/‎notebooks/fig4_cluster_distributions.png‎
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diff --git a/‎notebooks/fig5_hydra_effect.png‎
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diff --git a/‎notebooks/phase1.ipynb‎
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diff --git a/‎scripts/experiments.py‎
Lines changed: 1 addition & 22 deletions b/‎scripts/experiments.py‎
Lines changed: 1 addition & 22 deletions
@@ -217,28 +217,7 @@ def run_single_simulation(
             evolved_means.append(stats["mean"])
             evolved_stds.append(stats["std"])
 
-        # Cluster analysis (at end of measurement)
-        if step == measurement_steps - 1:
-            prey_survived = prey_pops[-1] > min_count
-            pred_survived = pred_pops[-1] > (min_count // 4)
-            
-            if prey_survived:
-                prey_stats = get_cluster_stats_fast(model.grid, 1)
-                cluster_sizes_prey = prey_stats['sizes'].tolist()
-                largest_fractions_prey.append(prey_stats['largest_fraction'])
-            
-            if pred_survived:
-                pred_stats = get_cluster_stats_fast(model.grid, 2)
-                cluster_sizes_pred = pred_stats['sizes'].tolist()
-                largest_fractions_pred.append(pred_stats['largest_fraction'])
-            
-            # PCF requires both
-            if compute_pcf and prey_survived and pred_survived:
-                max_dist = min(grid_size / 2, cfg.pcf_max_distance)
-                pcf_data = compute_all_pcfs_fast(model.grid, max_dist, cfg.pcf_n_bins)
-                pcf_samples['prey_prey'].append(pcf_data['prey_prey'])
-                pcf_samples['pred_pred'].append(pcf_data['pred_pred'])
-                pcf_samples['prey_pred'].append(pcf_data['prey_pred'])
+         
 
 
     # Compile results