Adapol: adaptive pole fitting for quantum many-body physics

Adapol (pronouced “add a pole”) is a python package for fitting Matsubara functions with pole expansions. Current applications include bath fitting and analytic continuation. The name Adapol is short for adaptive pole fitting.

Getting started

To use Adapol, first install it using pip:

$ pip install adapol

Learn how to use it in the Documentation.

For updates and latest versions, see Github.

References

To cite this work, please include a reference to this GitHub repository, and cite the following references:

• Zhen Huang, Emanuel Gull, and Lin Lin. “Robust analytic continuation of Green’s functions via projection, pole estimation, and semidefinite relaxation.” Physical Review B 107.7 (2023): 075151.

• Carlos Mejuto-Zaera, et al. “Efficient hybridization fitting for dynamical mean-field theory via semi-definite relaxation.” Physical Review B 101.3 (2020): 035143.

• Yuji Nakatsukasa, Olivier Sète, and Lloyd N. Trefethen. “The AAA algorithm for rational approximation.” SIAM Journal on Scientific Computing 40.3 (2018): A1494-A1522.