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name: monte-carlo-physics-simulator description: Monte Carlo simulation skill for statistical physics, particle transport, and stochastic processes allowed-tools:

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• Bash metadata: version: "1.0" category: physics tags:
  • monte-carlo
  • statistical-physics
  • particle-transport
  • stochastic graph: domains: [domain:physics] skillAreas: [skill-area:physics-simulation, skill-area:mathematical-reasoning, skill-area:statistical-analysis] workflows: [workflow:experiment-design, workflow:peer-review-cycle] roles: [role:computational-scientist, role:research-engineer]

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Monte Carlo Physics Simulator Skill

Purpose

Provide Monte Carlo simulation capabilities for statistical physics, particle transport, and stochastic processes in physics applications.

Capabilities

• Metropolis algorithm implementation
• Wang-Landau sampling
• Parallel tempering coordination
• Variance reduction techniques
• Autocorrelation analysis
• Error estimation and jackknife/bootstrap

Usage Guidelines

• Choose appropriate sampling algorithms for the problem
• Implement variance reduction for rare events
• Monitor autocorrelation for independent samples
• Use proper error estimation techniques

Dependencies

• Custom MC codes
• OpenMC
• Geant4

Process Integration

• Monte Carlo Simulation Implementation
• Statistical Analysis Pipeline
• Monte Carlo Event Generation