/cluster_monte_carlo

Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model

Primary LanguagePython

cluster_monte_carlo

programs which analyze the Ising model in an arbitrary number of dimensions >= 2 using two types of Markov chain Monte Carlo (MCMC) algorithms.

implementation of metropolis-hastings and Wolff algorithms for any dimensions

see comparisons which highlight superior solution of autocorrelation time problem found in the MEtropolis Hastings algorithms solved by Cluster algorithms

exploration of critical dynamics with cluster algorithms

temperature scans to evaluate critical exponents Compare with known literature values

Validation of the Cluster Algorithm