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A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions

Thomas Spriggs, Gert Aarts Orcid Logo, Chris Allton Orcid Logo, Timothy Burns Orcid Logo, Rachel Horohan D’Arcy, Benjamin Jäger, Seyong Kim, Maria-Paola Lombardo, Sam Offler, Ben Page, Sinead M. Ryan, Jon-Ivar Skullerud

EPJ Web of Conferences, Volume: 258, Start page: 05011

Swansea University Authors: Thomas Spriggs, Gert Aarts Orcid Logo, Chris Allton Orcid Logo, Timothy Burns Orcid Logo, Sam Offler, Ben Page

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DOI (Published version): 10.1051/epjconf/202225805011

Abstract

We present results from the fastsum collaboration’s programme to determine the spectrum of the bottomonium system as a function of temperature. Three different methods of extracting spectral information are discussed: a Maximum Likelihood approach using a Gaussian spectral function for the ground st...

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Published in: EPJ Web of Conferences
ISSN: 2100-014X
Published: EDP Sciences 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa60262
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Three different methods of extracting spectral information are discussed: a Maximum Likelihood approach using a Gaussian spectral function for the ground state, the Backus Gilbert method, and the Kernel Ridge Regression machine learning procedure. 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spelling 2022-07-19T13:44:42.4876116 v2 60262 2022-06-17 A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions 9a519118ac6eba817000b9318c4c7bc7 Thomas Spriggs Thomas Spriggs true false 1ba0dad382dfe18348ec32fc65f3f3de 0000-0002-6038-3782 Gert Aarts Gert Aarts true false de706a260fa1e1e47430693e135f41c7 0000-0003-0795-124X Chris Allton Chris Allton true false 00c358e0adea90df98f1d4a5188cb3ed 0000-0002-7201-6437 Timothy Burns Timothy Burns true false d05d1e268521f7cd301d47852e36e734 Sam Offler Sam Offler true false 722b702e659c171deb170892efff519b Ben Page Ben Page true false 2022-06-17 BMS We present results from the fastsum collaboration’s programme to determine the spectrum of the bottomonium system as a function of temperature. Three different methods of extracting spectral information are discussed: a Maximum Likelihood approach using a Gaussian spectral function for the ground state, the Backus Gilbert method, and the Kernel Ridge Regression machine learning procedure. We employ the fastsum anisotropic lattices with 2+1 dynamical quark flavours, with temperatures ranging from 47 to 375 MeV. Journal Article EPJ Web of Conferences 258 05011 EDP Sciences 2100-014X 11 1 2022 2022-01-11 10.1051/epjconf/202225805011 COLLEGE NANME Biomedical Sciences COLLEGE CODE BMS Swansea University This work is supported by STFC grant ST/T000813/1. RHD has been supported by a Maynooth University SPUR scholarship. SK is supported by the National Research Foundation of Korea under grant NRF-2021R1A2C1092701 funded by the Korean government (MEST). BP has been supported by a Swansea University Research Excellence Scholarship (SURES). 2022-07-19T13:44:42.4876116 2022-06-17T11:35:36.0689638 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Physics Thomas Spriggs 1 Gert Aarts 0000-0002-6038-3782 2 Chris Allton 0000-0003-0795-124X 3 Timothy Burns 0000-0002-7201-6437 4 Rachel Horohan D’Arcy 5 Benjamin Jäger 6 Seyong Kim 7 Maria-Paola Lombardo 8 Sam Offler 9 Ben Page 10 Sinead M. Ryan 11 Jon-Ivar Skullerud 12 60262__24640__4e7a8f998b534f088e5110d4ef8fc6cb.pdf 60262.pdf 2022-07-19T13:43:20.2955831 Output 446914 application/pdf Version of Record true © The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0. true eng https://creativecommons.org/licenses/by/4.0/
title A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
spellingShingle A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
Thomas Spriggs
Gert Aarts
Chris Allton
Timothy Burns
Sam Offler
Ben Page
title_short A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
title_full A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
title_fullStr A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
title_full_unstemmed A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
title_sort A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
author_id_str_mv 9a519118ac6eba817000b9318c4c7bc7
1ba0dad382dfe18348ec32fc65f3f3de
de706a260fa1e1e47430693e135f41c7
00c358e0adea90df98f1d4a5188cb3ed
d05d1e268521f7cd301d47852e36e734
722b702e659c171deb170892efff519b
author_id_fullname_str_mv 9a519118ac6eba817000b9318c4c7bc7_***_Thomas Spriggs
1ba0dad382dfe18348ec32fc65f3f3de_***_Gert Aarts
de706a260fa1e1e47430693e135f41c7_***_Chris Allton
00c358e0adea90df98f1d4a5188cb3ed_***_Timothy Burns
d05d1e268521f7cd301d47852e36e734_***_Sam Offler
722b702e659c171deb170892efff519b_***_Ben Page
author Thomas Spriggs
Gert Aarts
Chris Allton
Timothy Burns
Sam Offler
Ben Page
author2 Thomas Spriggs
Gert Aarts
Chris Allton
Timothy Burns
Rachel Horohan D’Arcy
Benjamin Jäger
Seyong Kim
Maria-Paola Lombardo
Sam Offler
Ben Page
Sinead M. Ryan
Jon-Ivar Skullerud
format Journal article
container_title EPJ Web of Conferences
container_volume 258
container_start_page 05011
publishDate 2022
institution Swansea University
issn 2100-014X
doi_str_mv 10.1051/epjconf/202225805011
publisher EDP Sciences
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Physics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Physics
document_store_str 1
active_str 0
description We present results from the fastsum collaboration’s programme to determine the spectrum of the bottomonium system as a function of temperature. Three different methods of extracting spectral information are discussed: a Maximum Likelihood approach using a Gaussian spectral function for the ground state, the Backus Gilbert method, and the Kernel Ridge Regression machine learning procedure. We employ the fastsum anisotropic lattices with 2+1 dynamical quark flavours, with temperatures ranging from 47 to 375 MeV.
published_date 2022-01-11T04:18:14Z
_version_ 1763754213832130560
score 11.012678

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