ana_cont: Python package for analytic continuation

We present the Python package ana_cont for the analytic continuation of fermionic and bosonic many -body Green's functions by means of either the Pade approximants or the maximum entropy method. The determination of hyperparameters and the implementation are described in detail. The code is publicly available on GitHub, where also documentation and learning resources are provided.Program summaryProgram Title: ana_cont CPC Library link to program files: https://doi.org/10.17632/vphzykvvf2.1Developer's repository link: https://github .com /josefkaufmann/ana_contLicensing provisions: MITProgramming language: Python External dependencies: Python (> 3.6), numpy, scipy, matplotlib, h5py, PyQt5, CythonSupplementary material: Test case files, tutorials, and instructions Nature of problem: Analytic continuation of correlation functions from Matsubara frequencies/imaginary time to real frequencies. Solution method: Pade interpolation, maximum entropy method Additional comments including restrictions and unusual features: The most important features can be accessed through the graphical user interface. For more flexibility, it is recommended to use the code as a library and write problem specific scripts.(c) 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Automated summary

This article presents the Python package ana_cont, which is used for the analytic continuation of fermionic and bosonic many-body Green's functions using either the Pade approximants method or the maximum entropy method. The determination of hyperparameters and the implementation are described in detail. The code is publicly available on GitHub, where documentation and learning resources are also provided.