monte-carlo-physics-simulator

# 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