# Analytic continuation with Pad\'e decomposition

## TL;DR

This paper introduces a Padé decomposition method to improve the accuracy of analytic continuation of Green's functions by enhancing the convergence of Matsubara frequency summations, enabling more precise input data for the Padé approximation.

## Contribution

The paper proposes a novel Padé decomposition approach that significantly accelerates Matsubara frequency summation convergence, improving the analytic continuation process.

## Key findings

- Enhanced convergence of Matsubara sums using Padé decomposition
- More accurate high-precision Green's function data achievable
- Improved reliability of Padé analytic continuation results

## Abstract

The ill-posed analytic continuation problem for Green's functions or self-energies can be done using the Pad\'e rational polynomial approximation. However, to extract accurate results from this approximation, high precision input data of the Matsubara Green's function are needed. The calculation of the Matsubara Green's function generally involves a Matsubara frequency summation which cannot be evaluated analytically. Numerical summation is requisite but it converges slowly with the increase of the Matsubara frequency. Here we show that this slow convergence problem can be significantly improved by utilizing the Pad\'e decomposition approach to replace the Matsubara frequency summation by a Pad\'e frequency summation, and high precision input data can be obtained to successfully perform the Pad\'e analytic continuation.