Welcome to SpM’s documentation!¶
This is a documentation of Sparse Modeling (SpM) tool for analytical continuation.
What is SpM ?¶
A sparse-modeling tool for computing the spectral function from the imaginary-time Green function. It removes statistical errors in quantum Monte Carlo data, and performs a stable analytical continuation. The obtained spectral function fulfills the non-negativity and the sum rule. The computation is fast and free from tuning parameters.
This package is distributed under GNU General Public License version 3 (GPL v3).
When you publish a publication that includes results obtained using this package, we kindly ask you to cite the following articles
J. Otsuki, M. Ohzeki, H. Shinaoka, K. Yoshimi, “Sparse modeling approach to analytical continuation of imaginary-time quantum Monte Carlo data” Phys. Rev. E 95, 061302(R) (2017).
K. Yoshimi, J. Otsuki, Y. Motoyama, M. Ohzeki, and H. Shinaoka, “SpM: Sparse modeling tool for analytic continuation of imaginary-time Green’s function” Comput. Phys. Commun. 244, 319-323 (2019).
SpM-Pade method (if you use)
Y. Motoyama, K. Yoshimi, and J. Otsuki, “Robust analytic continuation combining the advantages of the sparse modeling approach and Pade approximation”, [arXiv:2109.08370](https://arxiv.org/abs/2109.08370).
- 1. How to install
- 2. Tutorials
- 3. Algorithm
- 4. Calculation flow
- 5. Input files
- 6. Output files