SpM: Sparse modeling tool for analytic continuation of imaginary-time Green's function
Abstract
We present SpM, a sparse modeling tool for the analytic continuation of imaginary-time Green's function, licensed under GNU General Public License version 3. In quantum Monte Carlo simulation, dynamic physical quantities such as single-particle and magnetic excitation spectra can be obtained by applying analytic continuation to imaginary-time data. However, analytic continuation is an ill-conditioned inverse problem and thus sensitive to noise and statistical errors. SpM provides stable analytic continuation against noise by means of a modern regularization technique, which automatically selects bases that contain relevant information unaffected by noise. This paper details the use of this program and shows some applications.
Keywords
Cite
@article{arxiv.1904.02903,
title = {SpM: Sparse modeling tool for analytic continuation of imaginary-time Green's function},
author = {Kazuyoshi Yoshimi and Junya Otsuki and Yuichi Motoyama and Masayuki Ohzeki and Hiroshi Shinaoka},
journal= {arXiv preprint arXiv:1904.02903},
year = {2019}
}
Comments
7 pages, 4 figures