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Main Authors: Zhang, Lei, Erpenbeck, André, Yu, Yang, Gull, Emanuel
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2504.01163
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author Zhang, Lei
Erpenbeck, André
Yu, Yang
Gull, Emanuel
author_facet Zhang, Lei
Erpenbeck, André
Yu, Yang
Gull, Emanuel
contents Representing spectral densities, real-frequency, and real-time Green's functions of continuous systems by a small discrete set of complex poles is an ubiquitous problem in condensed matter physics, with applications ranging from quantum transport simulations to the simulation of strongly correlated electron systems. This paper introduces a method for obtaining a compact, approximate representation of these functions, based on their parameterization on the real axis and a given approximate precision. We show applications to typical spectral functions and results for structured and unstructured correlation functions of model systems.
format Preprint
id arxiv_https___arxiv_org_abs_2504_01163
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Minimal pole representation for spectral functions
Zhang, Lei
Erpenbeck, André
Yu, Yang
Gull, Emanuel
Strongly Correlated Electrons
Mesoscale and Nanoscale Physics
Representing spectral densities, real-frequency, and real-time Green's functions of continuous systems by a small discrete set of complex poles is an ubiquitous problem in condensed matter physics, with applications ranging from quantum transport simulations to the simulation of strongly correlated electron systems. This paper introduces a method for obtaining a compact, approximate representation of these functions, based on their parameterization on the real axis and a given approximate precision. We show applications to typical spectral functions and results for structured and unstructured correlation functions of model systems.
title Minimal pole representation for spectral functions
topic Strongly Correlated Electrons
Mesoscale and Nanoscale Physics
url https://arxiv.org/abs/2504.01163