pyising 0.1.5

Python bindings for the Ising2D C++ simulation

PyIsing

PyIsing is a Python library for simulating the Ising model using C++ bindings via pybind11. It includes implementations of the Wolff and Metropolis Monte Carlo algorithms for efficient simulation of spin systems.

Features

• Fast C++ core: Uses pybind11 to leverage high-performance C++ computations.
• Wolff Algorithm: Implements cluster updates for efficient decorrelation.
• Metropolis Algorithm: Standard single-spin update method.
• Flexible Parameters: Supports different lattice sizes, temperatures.

installation

pip install pyising

for buliding from scratch

pythin setup.py install

usage

import pyising

temps = np.linspace(1, 4, 50)

L = 64
results = pyising.run_parallel_metropolis(temps, L, N_steps=N_steps,
                                          equ_N=equ_N,
                                          snapshot_interval=snapshot_interval,
                                          seed_base=seed_base,
                                          output_dir=output_dir,
                                          use_wolff=use_wolff,
                                          save_all_configs=save_all_configs
                                          )

References

I built the code based on the following code, added the python binding and made it modular after refining the structure. https://github.com/VictorSeven/IsingModel