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Chimera baryon spectrum in the Sp(4) completion of composite Higgs models
,
Deog Ki Hong,
Jong-Wan Lee,
C.-J. David Lin,
Biagio Lucini ,
Maurizio Piai ,
Davide Vadacchino
Proceedings of The 40th International Symposium on Lattice Field Theory — PoS(LATTICE2023), Volume: 453
Swansea University Authors:
Ed Bennett , Biagio Lucini , Maurizio Piai
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DOI (Published version): 10.22323/1.453.0089
Abstract
In strongly coupled gauge theories that serve as completions of composite Higgs models, the fermionic bound states formed by fermions (hyperquarks) transforming in different representations, called chimera baryons, could serve as top partners, by embedding of the Standard Model appropriately. We rep...
| Published in: | Proceedings of The 40th International Symposium on Lattice Field Theory — PoS(LATTICE2023) |
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| ISSN: | 1824-8039 |
| Published: |
Trieste, Italy
Sissa Medialab
2023
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa65420 |
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| Abstract: |
In strongly coupled gauge theories that serve as completions of composite Higgs models, the fermionic bound states formed by fermions (hyperquarks) transforming in different representations, called chimera baryons, could serve as top partners, by embedding of the Standard Model appropriately. We report our results on the spectrum of chimera baryons in the Sp(4) gauge theorywith hyperquarks transforming in fundamental and two-index antisymmetric representations. For this study, we adopt the quenched approximation. We investigate the mass hierarchy between the lightest chimera baryons with different quantum numbers, as a function of the lattice parameters. Inspired by baryon chiral effective field theory, and the Akaike Information Criterion,we perform a first extrapolation to the continuum and massless-hyperquark limit. |
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| Item Description: |
Research Data Access Statement:The results for Sp(4) are based on preliminary analysis. Further analysis and the data generated for this manuscript will be released together with an upcoming publication [17]. Alternatively, data and code can be obtained from the authors upon request. |
| College: |
Faculty of Science and Engineering |
| Funders: |
The work of BLis further supported in part by the Royal Society Wolfson Research Merit Award WM170010 and by the Leverhulme Trust Research Fellowship No. RF-2020-4619. The work of DV is supported by STFC under Consolidated Grant No. ST/X000680/1. Numerical simulations have been performed on the Swansea University SUNBIRD cluster (part of the Supercomputing Wales project) and AccelerateAI A100 GPU system, on the local HPC clusters in Pusan National University (PNU) and in National Yang Ming Chiao Tung University (NYCU), and on the DiRAC Data Intensive service at Leicester. The Swansea University SUNBIRD system and AccelerateAI are part funded by the European Regional Development Fund (ERDF) via Welsh Government. 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 (www.dirac.ac.uk). The DiRAC Data Intensive service equipment at Leicester was funded by BEIS capital funding via STFC capital grants ST/K000373/1 and ST/R002363/1 and STFC DiRAC Operations grant ST/R001014/1. DiRAC is part of the National e-Infrastructure. |