| name | monte-carlo-physics-simulator |
| description | Monte Carlo simulation skill for statistical physics, particle transport, and stochastic processes |
| allowed-tools | ["Read","Write","Glob","Grep","Edit","WebFetch","WebSearch","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"]} |
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