MCM

Monte Carlo Method in Ising model

• Every results is plotted in python folder.
• For further explanation, read summary.md or summary.pdf.

This folder is about classical Ising model with 1/2 spin, up&down.

1. Metropolis-Hastings method
2. Wolff cluster method
3. Calculating autocorrelation time. (ref: https://dfm.io/posts/autocorr/)
4. Measuring error using jack knife method

The data is made from C++ and analyzed by python.

Self learning Monte Carlo method on 4-plaquette model.

5. Check whether plaquette Hamiltonian works well. Also check the cluster update method considering higher order spin correlation.
6. Conduct self-learning Monte Carlo method on plaquette Hamiltonian.
7. Calculate autocorrelation time.

(ref: https://journals.aps.org/prb/abstract/10.1103/PhysRevB.95.041101)