Conference Paper/Proceeding/Abstract 121 views
Progress on the spectroscopy of lattice gauge theories using spectral densities
Proceedings of The 41st International Symposium on Lattice Field Theory — PoS(LATTICE2024), Volume: 466, Start page: 137
Swansea University Authors:
Niccolo Forzano, Ed Bennett , Biagio Lucini
, Maurizio Piai
, Fabian Zierler
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DOI (Published version): 10.22323/1.466.0137
Abstract
Spectral densities encode non-perturbative information crucial in computing physical observables in strongly coupled field theories. Using lattice gauge theory data, we perform a systematic study to demonstrate the potential of recent technological advances in the reconstruction of spectral densitie...
Published in: | Proceedings of The 41st International Symposium on Lattice Field Theory — PoS(LATTICE2024) |
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ISSN: | 1824-8039 |
Published: |
Trieste, Italy
Sissa Medialab
2024
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URI: | https://cronfa.swan.ac.uk/Record/cronfa68043 |
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2024-10-22T17:19:33Z |
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We used the Swansea SUNBIRD cluster (part of the Supercomputing Wales project) and AccelerateAI A100 GPU system. Supercomputing Wales and AccelerateAI are part funded by the European Regional Development Fund (ERDF) via Welsh Government. We also use the DiRAC Data Intensive service (CSD3) at the University of Cambridge, the DiRAC Extreme Scaling service at The University of Edinburgh, and the DiRAC Data Intensive service at Leicester. The DiRAC Data Intensive service (CSD3) is managed by the University of Cambridge University Information Services on behalf of the STFC DiRAC HPC Facility. The DiRAC Data Intensive service at Leicester is operated by the University of Leicester IT Services, which forms part of the STFC DiRAC HPC Facility. The DiRAC Extreme Scaling service is operated by the Edinburgh Parallel Computing Centre on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). This DiRAC equipment is funded by BEIS, UKRI and STFC capital funding and operation grants. DiRAC is part of the UKRI Digital Research Infrastructure.</funders><projectreference/><lastEdited>2025-02-11T12:51:04.0269394</lastEdited><Created>2024-10-22T18:11:03.6518892</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Physics</level></path><authors><author><firstname>Niccolo</firstname><surname>Forzano</surname><order>1</order></author><author><firstname>Ed</firstname><surname>Bennett</surname><orcid>0000-0002-1678-6701</orcid><order>2</order></author><author><firstname>Ho</firstname><surname>Hsiao</surname><order>3</order></author><author><firstname>Jong-Wan</firstname><surname>Lee</surname><order>4</order></author><author><firstname>Biagio</firstname><surname>Lucini</surname><orcid>0000-0001-8974-8266</orcid><order>5</order></author><author><firstname>Alessandro</firstname><surname>Lupo</surname><order>6</order></author><author><firstname>Maurizio</firstname><surname>Piai</surname><orcid>0000-0002-2251-0111</orcid><order>7</order></author><author><firstname>Davide</firstname><surname>Vadacchino</surname><order>8</order></author><author><firstname>Fabian</firstname><surname>Zierler</surname><order>9</order></author><author><firstname>Luigi Del</firstname><surname>Debbio</surname><order>10</order></author><author><firstname>Ryan</firstname><surname>Hill</surname><order>11</order></author><author><firstname>Deog Ki</firstname><surname>Hong</surname><order>12</order></author><author><firstname>C.-J. David</firstname><surname>Lin</surname><order>13</order></author></authors><documents><document><filename>68043__33156__c1081d92ac0c4c4c97fc3c6040792d0a.pdf</filename><originalFilename>68043.VoR.pdf</originalFilename><uploaded>2024-12-17T12:00:18.5069839</uploaded><type>Output</type><contentLength>679287</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>© Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en</licence></document></documents><OutputDurs/></rfc1807> |
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2025-02-11T12:51:04.0269394 v2 68043 2024-10-22 Progress on the spectroscopy of lattice gauge theories using spectral densities e60be1aa4478b6e530f4bdf6c1cf9857 Niccolo Forzano Niccolo Forzano true false e1a8e7927d2b093acdc54e74eac95e38 0000-0002-1678-6701 Ed Bennett Ed Bennett true false 7e6fcfe060e07a351090e2a8aba363cf 0000-0001-8974-8266 Biagio Lucini Biagio Lucini true false 3ce295f2c7cc318bac7da18f9989d8c3 0000-0002-2251-0111 Maurizio Piai Maurizio Piai true false 7eb526fdce1693fc0b79f33e74cc182d Fabian Zierler Fabian Zierler true false 2024-10-22 Spectral densities encode non-perturbative information crucial in computing physical observables in strongly coupled field theories. Using lattice gauge theory data, we perform a systematic study to demonstrate the potential of recent technological advances in the reconstruction of spectral densities. We develop, maintain and make publicly available dedicated analysis code that can be used for broad classes of lattice theories. As a test case, we analyse the (4) gauge theory coupled to an admixture of fermions transforming in the fundamental and two-index antisymmetric representations. We measure the masses of mesons in energy-smeared spectral densities, after optimising the smearing parameters for available lattice ensembles. We present a summary of the mesons mass spectrum in all the twelve (flavored) channels available, including also several excited states. Conference Paper/Proceeding/Abstract Proceedings of The 41st International Symposium on Lattice Field Theory — PoS(LATTICE2024) 466 137 Sissa Medialab Trieste, Italy 1824-8039 5 12 2024 2024-12-05 10.22323/1.466.0137 COLLEGE NANME COLLEGE CODE Swansea University Not Required This work has been supported in part by the ExaTEPP projects EP/X017168/1 and EP/X01696/1, the UKRI Science and Technology Facilities Council (STFC) Research Software Engineering Fellowship EP/V052489/1, the STFC Consolidated Grants No. ST/X508834/1, ST/P00055X/1, ST/T000813/1, ST/X000648/1, and ST/P000630/1, a STFC new applicant scheme grant, the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A1B06033701), the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF-2018R1C1B3001379), the IBS under the project code, IBS-R018-D1, the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (2021R1A4A5031460), the Taiwanese NSTC grant 1122112-M-A49-021-MY3, the Royal Society Wolfson Research Merit Award WM170010, and the Leverhulme Trust Research Fellowship No. RF-2020-4619, the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program under Grant Agreement No. 813942. A.L is funded in part by l’Agence Nationale de la Recherche (ANR), under grant ANR-22-CE31-0011. We used the Swansea SUNBIRD cluster (part of the Supercomputing Wales project) and AccelerateAI A100 GPU system. Supercomputing Wales and AccelerateAI are part funded by the European Regional Development Fund (ERDF) via Welsh Government. We also use the DiRAC Data Intensive service (CSD3) at the University of Cambridge, the DiRAC Extreme Scaling service at The University of Edinburgh, and the DiRAC Data Intensive service at Leicester. The DiRAC Data Intensive service (CSD3) is managed by the University of Cambridge University Information Services on behalf of the STFC DiRAC HPC Facility. The DiRAC Data Intensive service at Leicester is operated by the University of Leicester IT Services, which forms part of the STFC DiRAC HPC Facility. The DiRAC Extreme Scaling service is operated by the Edinburgh Parallel Computing Centre on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). This DiRAC equipment is funded by BEIS, UKRI and STFC capital funding and operation grants. DiRAC is part of the UKRI Digital Research Infrastructure. 2025-02-11T12:51:04.0269394 2024-10-22T18:11:03.6518892 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Physics Niccolo Forzano 1 Ed Bennett 0000-0002-1678-6701 2 Ho Hsiao 3 Jong-Wan Lee 4 Biagio Lucini 0000-0001-8974-8266 5 Alessandro Lupo 6 Maurizio Piai 0000-0002-2251-0111 7 Davide Vadacchino 8 Fabian Zierler 9 Luigi Del Debbio 10 Ryan Hill 11 Deog Ki Hong 12 C.-J. David Lin 13 68043__33156__c1081d92ac0c4c4c97fc3c6040792d0a.pdf 68043.VoR.pdf 2024-12-17T12:00:18.5069839 Output 679287 application/pdf Version of Record true © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). true eng https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en |
title |
Progress on the spectroscopy of lattice gauge theories using spectral densities |
spellingShingle |
Progress on the spectroscopy of lattice gauge theories using spectral densities Niccolo Forzano Ed Bennett Biagio Lucini Maurizio Piai Fabian Zierler |
title_short |
Progress on the spectroscopy of lattice gauge theories using spectral densities |
title_full |
Progress on the spectroscopy of lattice gauge theories using spectral densities |
title_fullStr |
Progress on the spectroscopy of lattice gauge theories using spectral densities |
title_full_unstemmed |
Progress on the spectroscopy of lattice gauge theories using spectral densities |
title_sort |
Progress on the spectroscopy of lattice gauge theories using spectral densities |
author_id_str_mv |
e60be1aa4478b6e530f4bdf6c1cf9857 e1a8e7927d2b093acdc54e74eac95e38 7e6fcfe060e07a351090e2a8aba363cf 3ce295f2c7cc318bac7da18f9989d8c3 7eb526fdce1693fc0b79f33e74cc182d |
author_id_fullname_str_mv |
e60be1aa4478b6e530f4bdf6c1cf9857_***_Niccolo Forzano e1a8e7927d2b093acdc54e74eac95e38_***_Ed Bennett 7e6fcfe060e07a351090e2a8aba363cf_***_Biagio Lucini 3ce295f2c7cc318bac7da18f9989d8c3_***_Maurizio Piai 7eb526fdce1693fc0b79f33e74cc182d_***_Fabian Zierler |
author |
Niccolo Forzano Ed Bennett Biagio Lucini Maurizio Piai Fabian Zierler |
author2 |
Niccolo Forzano Ed Bennett Ho Hsiao Jong-Wan Lee Biagio Lucini Alessandro Lupo Maurizio Piai Davide Vadacchino Fabian Zierler Luigi Del Debbio Ryan Hill Deog Ki Hong C.-J. David Lin |
format |
Conference Paper/Proceeding/Abstract |
container_title |
Proceedings of The 41st International Symposium on Lattice Field Theory — PoS(LATTICE2024) |
container_volume |
466 |
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137 |
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2024 |
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Swansea University |
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1824-8039 |
doi_str_mv |
10.22323/1.466.0137 |
publisher |
Sissa Medialab |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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School of Biosciences, Geography and Physics - Physics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Physics |
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description |
Spectral densities encode non-perturbative information crucial in computing physical observables in strongly coupled field theories. Using lattice gauge theory data, we perform a systematic study to demonstrate the potential of recent technological advances in the reconstruction of spectral densities. We develop, maintain and make publicly available dedicated analysis code that can be used for broad classes of lattice theories. As a test case, we analyse the (4) gauge theory coupled to an admixture of fermions transforming in the fundamental and two-index antisymmetric representations. We measure the masses of mesons in energy-smeared spectral densities, after optimising the smearing parameters for available lattice ensembles. We present a summary of the mesons mass spectrum in all the twelve (flavored) channels available, including also several excited states. |
published_date |
2024-12-05T08:22:21Z |
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1824020330285367296 |
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11.051196 |