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Main Authors: Kaye, Jason, Strand, Hugo U. R., Wentzell, Nils
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2404.02334
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author Kaye, Jason
Strand, Hugo U. R.
Wentzell, Nils
author_facet Kaye, Jason
Strand, Hugo U. R.
Wentzell, Nils
contents We introduce cppdlr, a C++ library implementing the discrete Lehmann representation (DLR) of functions in imaginary time and Matsubara frequency, such as Green's functions and self-energies. The DLR is based on a low-rank approximation of the analytic continuation kernel, and yields a compact and explicit basis consisting of exponentials in imaginary time and simple poles in Matsubara frequency. cppdlr constructs the DLR basis and associated interpolation grids, and implements standard operations. It provides a flexible yet high-level interface, facilitating the incorporation of the DLR into both small-scale applications and existing large-scale software projects.
format Preprint
id arxiv_https___arxiv_org_abs_2404_02334
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle cppdlr: Imaginary time calculations using the discrete Lehmann representation
Kaye, Jason
Strand, Hugo U. R.
Wentzell, Nils
Computational Physics
Strongly Correlated Electrons
Numerical Analysis
81-04, 65D15
G.4; J.2; G.1.2
We introduce cppdlr, a C++ library implementing the discrete Lehmann representation (DLR) of functions in imaginary time and Matsubara frequency, such as Green's functions and self-energies. The DLR is based on a low-rank approximation of the analytic continuation kernel, and yields a compact and explicit basis consisting of exponentials in imaginary time and simple poles in Matsubara frequency. cppdlr constructs the DLR basis and associated interpolation grids, and implements standard operations. It provides a flexible yet high-level interface, facilitating the incorporation of the DLR into both small-scale applications and existing large-scale software projects.
title cppdlr: Imaginary time calculations using the discrete Lehmann representation
topic Computational Physics
Strongly Correlated Electrons
Numerical Analysis
81-04, 65D15
G.4; J.2; G.1.2
url https://arxiv.org/abs/2404.02334