Name
Title | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.cpc.2019.07.001 | Computer Physics Communications |
Keywords | DocType | Volume |
Sparse modeling,Analytic continuation,Imaginary-time/Matsubara Green’s function | Journal | 244 |
ISSN | Citations | PageRank |
0010-4655 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazuyoshi Yoshimi | 1 | 2 | 2.56 |
| Junya Otsuki | 2 | 0 | 1.01 |
| Yuichi Motoyama | 3 | 0 | 0.34 |
| Masayuki Ohzeki | 4 | 8 | 3.50 |
| H. Shinaoka | 5 | 6 | 3.33 |