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