Analytic continuation from limited noisy Matsubara data

This note proposes new algorithms for estimating spectral distribution from limited noisy Matsubara data. We consider both the cases of the spectral distribution with a sparse or a continuous support. In both cases, the proposed algorithm first constructs an accurate approximation of the Matsubara d...

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Bibliographic Details
Published in:Journal of computational physics Vol. 469; p. 111549
Main Author: Ying, Lexing
Format: Journal Article
Language:English
Published: Cambridge Elsevier Inc 15.11.2022
Elsevier Science Ltd
Subjects:
ISSN:0021-9991, 1090-2716
Online Access:Get full text
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