Robust analytic continuation using sparse modeling approach imposed by semi-positive definiteness for multi-orbital systems

y-motoyama / spmac_multi

Strong correlation/effective modelsCC BY 4.0

Updated: 2024-09-04

Overview

A dataset of the spectral functions and the corresponding Green's functions for multiple orbital electron systems used for numerical demonstrations of analytic continuation methods

URL: https://isspns-gitlab.issp.u-tokyo.ac.jp/y-motoyama/spmac_multi
Authors: Yuichi Motoyama, Hiroshi Shinaoka, Junya Otsuki, Kazuyoshi Yoshimi
License: CC BY 4.0
Category: Strong correlation/effective models
References: https://arxiv.org/abs/2409.01509
Contact: y-motoyama__at__issp.u-tokyo.ac.jp (Please replace __at__ with @.)

Links

💻 Open repository 📦 Download ZIP

README

spmac_multi

Dataset and scripts used in the following paper

Yuichi Motoyama, Hiroshi Shinaoka, Junya Otsuki, and Kazuyoshi Yoshimi, arXiv:2409.01509.

License

data
- CC BY 4.0
scripts
- GNU GPL 3.0

Main program

The main program is pySpMAC v0.1.

Directory Structure

README.md
LICENSE
data/
- requirements.txt
  - Which version packages are installed in the environments where the calculations ran
  - Python 3.9.13 was used
- eigen.py, eigen_single.py
  - Scripts for calculating the eigen values of the obtained spectral functions by the self-consistent (SC) method and the one-shot (OS) method, respectively
- two_orbit/
  - Dataset for the "Two orbitals data"
  - oneshot/
  - selfconsistent/
- three_orbit/
  - Dataset for the "Three orbitals data"
  - oneshot/
  - selfconsistent/
- 30samples/
  - Dataset for checking the robustness of the SC method
  - two_orbit/
    - noise_1e-4/
    - noise_1e-6/

Source: https://isspns-gitlab.issp.u-tokyo.ac.jp/y-motoyama/spmac_multi README

Activity

UpdatedLast updated: 2024-09-04 (2 years ago)