SU2xSU2 1.2.5a0

This python package offers efficient simulation and data analysis routines for the $SU(2) \times SU(2)$ 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. The package comes with a custom style sheet which is used by default.

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

• allow for external measurement functions to be passed. Just need additional argument to run_HMC, specifying the measurement data structure. Add such an example (such as computing kinetic energy per site) to examples.py
• remove thin_freq
• Runtime warning in correlations l.64
• add tests
• generalize simulation and data analysis to d-dimensional cubic lattice