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@ARTICLE{Ghanem:1002263,
author = {Ghanem, Khaldoon and Koch, Erik},
title = {{C}onnecting {T}ikhonov regularization to the maximum
entropy method for the analytic continuation of quantum
{M}onte {C}arlo data},
journal = {Physical review / B},
volume = {107},
number = {8},
issn = {2469-9950},
address = {Woodbury, NY},
publisher = {Inst.},
reportid = {FZJ-2023-01245},
pages = {085129},
year = {2023},
note = {12 pages, 10 figures},
abstract = {Analytic continuation is an essential step in extracting
information about the dynamical properties of physical
systems from quantum Monte Carlo (QMC) simulations.
Different methods for analytic continuation have been
proposed and are still being developed. This paper explores
a regularization method based on the repeated application of
Tikhonov regularization under the discrepancy principle. The
method can be readily implemented in any linear algebra
package and gives results surprisingly close to the maximum
entropy method (MaxEnt). We analyze the method in detail and
demonstrate its connection to MaxEnt. In addition, we
provide a straightforward method for estimating the noise
level of QMC data, which is helpful for practical
applications of the discrepancy principle when the noise
level is not known reliably.},
cin = {JSC},
ddc = {530},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511)},
pid = {G:(DE-HGF)POF4-5111},
typ = {PUB:(DE-HGF)16},
eprint = {2212.05475},
howpublished = {arXiv:2212.05475},
archivePrefix = {arXiv},
SLACcitation = {$\%\%CITATION$ = $arXiv:2212.05475;\%\%$},
UT = {WOS:000944158700002},
doi = {10.1103/PhysRevB.107.085129},
url = {https://juser.fz-juelich.de/record/1002263},
}