SpM: Sparse modeling tool for analytic continuation of imaginary-time Green's function
| Main Author: | Ballantyne, John |
|---|---|
| Other Authors: | Yoshimi, Kazuyoshi, Otsuki, Junya, Motoyama, Yuichi, Ohzeki, Masayuki, Shinaoka, Hiroshi |
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2019
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| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/ycmpsnv5yx |
Daftar Isi:
- 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.