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Directed Percolation in a 1D Modulated Contact Process

  • Task ID: physics.dp_contact_process
  • Domain: physics
  • Subdomain: non_equilibrium_statistical_physics
  • Status: final
  • Benchmark set: seed42 (60 tasks)
  • Tags: directed_percolation, modulated_contact_process, critical_phenomena, finite_size_scaling, monte_carlo

Runtime and requirements

  • Estimated time: 60-120 minutes
  • Python: >=3.11
  • Packages: numpy>=1.24.0, pandas>=2.0.0
  • GPU required: no
  • Network required: no

Public input and output contract

Inputs

  • task_input.json (data): Contact-process benchmark configuration and output contract

Outputs

  • analysis.py (code): Agent-generated simulation and analysis script
  • results/dp_summary.csv (data): Estimated critical point and exponents
  • results/dp_scan.csv (data): Lambda-system-size scan table
  • results/dp_timeseries.csv (data): Time-dependent observables near criticality
  • results/dp_report.json (data): Method summary and universality conclusion

Public repository files

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Provenance

This task is included in the current seed42 benchmark set at dataset revision f11a199f71fb4b854ac43a1bf548d5df519141a9.

This page is generated only from files tracked in the public ASI-Bench repository at commit f18382f03faf. Submission bundles, run logs, private scoring configuration, and private reference answers are not read by this page generator.