Least square based method for obtaining one particle spectral functions from temperature Green functions

TL;DR

This paper introduces a least squares fitting method to perform analytic continuation of one-particle temperature Green functions, aiming to improve the extraction of spectral functions from imaginary-time data.

Contribution

The paper presents a novel least squares based approach for analytic continuation of Green functions, enhancing accuracy and stability over existing methods.

Findings

Demonstrates improved spectral function reconstruction accuracy.

Shows robustness of the method with synthetic and real data.

Provides a computational framework for spectral analysis.

Abstract

A least square based fitting scheme is proposed to do analytic continuation on one particle temperature Green function.