| { |
| "task_id": "xp1_5_system", |
| "requirements": { |
| "estimate_control_threshold": true, |
| "estimate_scaling_exponents": true, |
| "assess_universality": true |
| }, |
| "budget": { |
| "max_cpu_hours": 6.0, |
| "max_memory_gb": 16.0 |
| }, |
| "protocol": { |
| "lambda_scan": [ |
| 1.71, |
| 1.728, |
| 1.742, |
| 1.754, |
| 1.766, |
| 1.778, |
| 1.785, |
| 1.795, |
| 1.805 |
| ], |
| "beta_fit_lambdas": [ |
| 1.785, |
| 1.795, |
| 1.805 |
| ], |
| "system_sizes": [ |
| 32, |
| 64, |
| 128, |
| 256 |
| ], |
| "n_seeds": 16, |
| "t_max": 1000, |
| "seed": 1802620927 |
| }, |
| "required_outputs": { |
| "summary_csv": "./results/dp_summary.csv", |
| "scan_csv": "./results/dp_scan.csv", |
| "timeseries_csv": "./results/dp_timeseries.csv", |
| "report_json": "./results/dp_report.json" |
| }, |
| "parameterization": { |
| "boundary_condition": "periodic", |
| "update_scheme": "random_sequential", |
| "initial_condition": "fully_active_for_each_trajectory", |
| "sweep_definition": "one sweep consists of L random site visits for a lattice of size L", |
| "death_probability_per_update": "dt", |
| "time_recording": "record rho(t) and survival probability once per sweep for t=1..t_max", |
| "dt": 0.2, |
| "state_space": [ |
| 0, |
| 1 |
| ], |
| "left_neighbor_weight": 1.0, |
| "right_neighbor_weight": 0.85, |
| "site_parity_scale": { |
| "even": 1.04, |
| "odd": 0.96 |
| }, |
| "activation_rule": "For an inactive site i, use p_birth = min(1, lambda * dt * parity_scale(i) * (left_weight * left_active + right_weight * right_active)).", |
| "note": "Use the asymmetric parity-modulated nearest-neighbor birth-death process defined here; do not replace it with the standard symmetric contact process or remap lambda." |
| } |
| } |
