No Cover Image

Conference Paper/Proceeding/Abstract 82 views

Progress on the spectroscopy of lattice gauge theories using spectral densities

Niccolo Forzano, Ed Bennett Orcid Logo, Ho Hsiao, Jong-Wan Lee, Biagio Lucini Orcid Logo, Alessandro Lupo, Maurizio Piai Orcid Logo, Davide Vadacchino, Fabian Zierler, Luigi Del Debbio, Ryan Hill, Deog Ki Hong, C.-J. David Lin

Proceedings of The 41st International Symposium on Lattice Field Theory — PoS(LATTICE2024), Volume: 466, Start page: 137

Swansea University Authors: Niccolo Forzano, Ed Bennett Orcid Logo, Biagio Lucini Orcid Logo, Maurizio Piai Orcid Logo, Fabian Zierler

Full text not available from this repository: check for access using links below.

Check full text

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...

Full description

Published in: Proceedings of The 41st International Symposium on Lattice Field Theory — PoS(LATTICE2024)
ISSN: 1824-8039
Published: Trieste, Italy Sissa Medialab 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa68043
first_indexed 2024-10-22T17:19:33Z
last_indexed 2025-01-09T20:32:28Z
id cronfa68043
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2024-12-17T12:02:30.9892749</datestamp><bib-version>v2</bib-version><id>68043</id><entry>2024-10-22</entry><title>Progress on the spectroscopy of lattice gauge theories using spectral densities</title><swanseaauthors><author><sid>e60be1aa4478b6e530f4bdf6c1cf9857</sid><firstname>Niccolo</firstname><surname>Forzano</surname><name>Niccolo Forzano</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>e1a8e7927d2b093acdc54e74eac95e38</sid><ORCID>0000-0002-1678-6701</ORCID><firstname>Ed</firstname><surname>Bennett</surname><name>Ed Bennett</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>7e6fcfe060e07a351090e2a8aba363cf</sid><ORCID>0000-0001-8974-8266</ORCID><firstname>Biagio</firstname><surname>Lucini</surname><name>Biagio Lucini</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>3ce295f2c7cc318bac7da18f9989d8c3</sid><ORCID>0000-0002-2251-0111</ORCID><firstname>Maurizio</firstname><surname>Piai</surname><name>Maurizio Piai</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>7eb526fdce1693fc0b79f33e74cc182d</sid><firstname>Fabian</firstname><surname>Zierler</surname><name>Fabian Zierler</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-10-22</date><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 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.</abstract><type>Conference Paper/Proceeding/Abstract</type><journal>Proceedings of The 41st International Symposium on Lattice Field Theory &#x2014; PoS(LATTICE2024)</journal><volume>466</volume><journalNumber/><paginationStart>137</paginationStart><paginationEnd/><publisher>Sissa Medialab</publisher><placeOfPublication>Trieste, Italy</placeOfPublication><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>1824-8039</issnElectronic><keywords/><publishedDay>5</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2024</publishedYear><publishedDate>2024-12-05</publishedDate><doi>10.22323/1.466.0137</doi><url/><notes/><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm>Not Required</apcterm><funders>ThisworkhasbeensupportedinpartbytheExaTEPPprojectsEP/X017168/1andEP/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 theprojectcode, IBS-R018-D1, theNationalResearchFoundationofKorea(NRF)grant fundedbytheKoreagovernment(MSIT)(2021R1A4A5031460),theTaiwaneseNSTCgrant1122112-M-A49-021-MY3, theRoyalSocietyWolfsonResearchMeritAwardWM170010, andthe LeverhulmeTrustResearchFellowshipNo.RF-2020-4619,theEuropeanResearchCouncil(ERC) undertheEuropeanUnion&#x2019;sHorizon2020researchandinnovationprogramunderGrantAgreement No. 813942. A.Lisfundedinpartbyl&#x2019;AgenceNationaledelaRecherche(ANR),undergrant ANR-22-CE31-0011. WeusedtheSwanseaSUNBIRDcluster(partoftheSupercomputingWalesproject)andAccelerateAIA100GPUsystem. SupercomputingWalesandAccelerateAIarepart fundedbythe EuropeanRegionalDevelopmentFund(ERDF)viaWelshGovernment.WealsousetheDiRAC DataIntensiveservice(CSD3)attheUniversityofCambridge,theDiRACExtremeScalingservice atTheUniversityofEdinburgh,andtheDiRACDataIntensiveserviceatLeicester. TheDiRAC DataIntensiveservice(CSD3) ismanagedbytheUniversityofCambridgeUniversityInformationServicesonbehalfoftheSTFCDiRACHPCFacility. TheDiRACDataIntensiveserviceat Leicester isoperatedbytheUniversityofLeicester ITServices,whichformspartof theSTFC DiRACHPCFacility. TheDiRACExtremeScalingserviceisoperatedbytheEdinburghParallel ComputingCentreonbehalfoftheSTFCDiRACHPCFacility(www.dirac.ac.uk). ThisDiRAC equipment isfundedbyBEIS,UKRIandSTFCcapital fundingandoperationgrants. DiRACis partoftheUKRIDigitalResearchInfrastructure.</funders><projectreference/><lastEdited>2024-12-17T12:02:30.9892749</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/><OutputDurs/></rfc1807>
spelling 2024-12-17T12:02:30.9892749 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 ThisworkhasbeensupportedinpartbytheExaTEPPprojectsEP/X017168/1andEP/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 theprojectcode, IBS-R018-D1, theNationalResearchFoundationofKorea(NRF)grant fundedbytheKoreagovernment(MSIT)(2021R1A4A5031460),theTaiwaneseNSTCgrant1122112-M-A49-021-MY3, theRoyalSocietyWolfsonResearchMeritAwardWM170010, andthe LeverhulmeTrustResearchFellowshipNo.RF-2020-4619,theEuropeanResearchCouncil(ERC) undertheEuropeanUnion’sHorizon2020researchandinnovationprogramunderGrantAgreement No. 813942. A.Lisfundedinpartbyl’AgenceNationaledelaRecherche(ANR),undergrant ANR-22-CE31-0011. WeusedtheSwanseaSUNBIRDcluster(partoftheSupercomputingWalesproject)andAccelerateAIA100GPUsystem. SupercomputingWalesandAccelerateAIarepart fundedbythe EuropeanRegionalDevelopmentFund(ERDF)viaWelshGovernment.WealsousetheDiRAC DataIntensiveservice(CSD3)attheUniversityofCambridge,theDiRACExtremeScalingservice atTheUniversityofEdinburgh,andtheDiRACDataIntensiveserviceatLeicester. TheDiRAC DataIntensiveservice(CSD3) ismanagedbytheUniversityofCambridgeUniversityInformationServicesonbehalfoftheSTFCDiRACHPCFacility. TheDiRACDataIntensiveserviceat Leicester isoperatedbytheUniversityofLeicester ITServices,whichformspartof theSTFC DiRACHPCFacility. TheDiRACExtremeScalingserviceisoperatedbytheEdinburghParallel ComputingCentreonbehalfoftheSTFCDiRACHPCFacility(www.dirac.ac.uk). ThisDiRAC equipment isfundedbyBEIS,UKRIandSTFCcapital fundingandoperationgrants. DiRACis partoftheUKRIDigitalResearchInfrastructure. 2024-12-17T12:02:30.9892749 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
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
container_start_page 137
publishDate 2024
institution Swansea University
issn 1824-8039
doi_str_mv 10.22323/1.466.0137
publisher Sissa Medialab
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 0
active_str 0
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 2024-12-05T05:53:31Z
_version_ 1821927236390879232
score 11.361655

Similar Items