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Hybrid Monte Carlo with Fourier Acceleration simulation package for the N=2 Principal Chiral model.

Project description

SU(2) x SU(2)

This python package offers efficient simulation and data analysis routines for the SU(2) x SU(2) Principal Chiral model. The key feature offered is the integration of Fourier Acceleration into the Hybrid Monte Carlo algorithm which leads to a significant reduction in the degree of critical slowing down.

Currently the simulation is only supported for a two dimensional cubic lattice.

Installation

To install SU2xSU2 using pip run:

pip install SU2xSU2

Its is recommended to work in a virtual environment.

Documentation

Read the docs here.

Example

A basic example showing how to set up a simulation using Fourier accelerated HMC to measure the wall-to-wall correlation function. Further examples can be found here.

from SU2xSU2.SU2xSU2 import SU2xSU2

# define model and lattice parameters 
model_paras = {'L':40, 'a':1, 'ell':5, 'eps':1/5, 'beta':0.6}
model = SU2xSU2(**model_paras)
# define simulation parameters and measurements
sim_paras = {'M':500, 'thin_freq':1, 'burnin_frac':0.5, 'accel':True, 'measurements':[model.ww_correlation_func], 'chain_paths':['corfunc_chain.npy']}
model.run_HMC(**sim_paras) 

Licence

SU2xSU2 is free software made available under the MIT License. For details see the LICENSE file.

To DO

make new distribution. install again an check if division by 0 bug solved, cor func showing and saving in mass_lambda, non-integer M, accel_mass file names

  • test mass_lambda and slowdown and make first stable distribution
  • commit changes to build backend and making distribution

commit: small bug fixes and additional import fix (SU2xSU2, examples, analysis, correlations, usage.rst) commit: change build backend to setuptools and make distribution

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