Conference Paper/Proceeding/Abstract 82 views
Progress on the spectroscopy of lattice gauge theories using spectral densities
,
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
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
Full text not available from this repository: check for access using links below.
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) |
|---|---|
| ISSN: | 1824-8039 |
| Published: |
Trieste, Italy
Sissa Medialab
2024
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa68043 |
| 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. |
|---|---|
| College: |
Faculty of Science and Engineering |
| 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’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. |
| Start Page: |
137 |