Nevanlinna.jl: A Julia implementation of Nevanlinna analytic continuation

Fuente: arXiv
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Hauptverfasser: Nogaki, Kosuke, Fei, Jiani, Gull, Emanuel, Shinaoka, Hiroshi
Format: Preprint
Veröffentlicht: 2023
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_version_ 1866910372138582016
author Nogaki, Kosuke
Fei, Jiani
Gull, Emanuel
Shinaoka, Hiroshi
author_facet Nogaki, Kosuke
Fei, Jiani
Gull, Emanuel
Shinaoka, Hiroshi
contents We introduce a Julia implementation of the recently proposed Nevanlinna analytic continuation method. The method is based on Nevanlinna interpolants and, by construction, preserves the causality of a response function. For theoretical calculations without statistical noise, this continuation method is a powerful tool to extract real-frequency information from numerical input data on the Matsubara axis. This method has been applied to first-principles calculations of correlated materials. This paper presents its efficient and full-featured open-source implementation of the method including the Hamburger moment problem and smoothing.
format Preprint
id arxiv_https___arxiv_org_abs_2302_10476
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Nevanlinna.jl: A Julia implementation of Nevanlinna analytic continuation
Nogaki, Kosuke
Fei, Jiani
Gull, Emanuel
Shinaoka, Hiroshi
Computational Physics
Strongly Correlated Electrons
We introduce a Julia implementation of the recently proposed Nevanlinna analytic continuation method. The method is based on Nevanlinna interpolants and, by construction, preserves the causality of a response function. For theoretical calculations without statistical noise, this continuation method is a powerful tool to extract real-frequency information from numerical input data on the Matsubara axis. This method has been applied to first-principles calculations of correlated materials. This paper presents its efficient and full-featured open-source implementation of the method including the Hamburger moment problem and smoothing.
title Nevanlinna.jl: A Julia implementation of Nevanlinna analytic continuation
topic Computational Physics
Strongly Correlated Electrons
url https://arxiv.org/abs/2302.10476