This repository contains the python code to run and analyze Ising Models.
Author: Luis Alvarez This program simulates the Ising Model of ferromagnetism in multiple dimensions using the Metropolis update algorithm and the Wolff Clustering algorithm. Programming is optimized to input variables of interest and output observables.
Author: Luis Alvarez This program reads in data files that have been generated by Ising_ND.py. Once read, the data is analyzed, observables are extracted, the critical temperature, and correlation length with critical exponent nu is displayed.
This sub-directory contains all the data created by the Ising model simulations.