Implementation of the Maximum Entropy Method for Analytic Continuation
Computational Physics
2017-04-26 v1 Strongly Correlated Electrons
Abstract
We present , a tool for performing analytic continuation of spectral functions using the maximum entropy method. The code operates on discrete imaginary axis datasets (values with uncertainties) and transforms this input to the real axis. The code works for imaginary time and Matsubara frequency data and implements the 'Legendre' representation of finite temperature Green's functions. It implements a variety of kernels, default models, and grids for continuing bosonic, fermionic, anomalous, and other data. Our implementation is licensed under GPLv2 and extensively documented. This paper shows the use of the programs in detail.
Cite
@article{arxiv.1606.00368,
title = {Implementation of the Maximum Entropy Method for Analytic Continuation},
author = {Ryan Levy and J. P. F. LeBlanc and Emanuel Gull},
journal= {arXiv preprint arXiv:1606.00368},
year = {2017}
}
Comments
Code can be found at https://github.com/CQMP/Maxent