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Reconstruction of bottomonium spectral functions in thermal QCD using Kernel Ridge Regression

Sam Offler, Gert Aarts Orcid Logo, Chris Allton Orcid Logo, Benjamin Jaeger, Seyong Kim, Maria Paola Lombardo, Ben Page, Sinead Ryan, Jon-Ivar Skullerud, Thomas Spriggs

Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021), Volume: 396, Start page: 509

Swansea University Authors: Sam Offler, Gert Aarts Orcid Logo, Chris Allton Orcid Logo

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DOI (Published version): 10.22323/1.396.0509

Abstract

We discuss results for bottomonium at nonzero temperature obtained using NRQCD on Fastsum Generation 2L ensembles, as part of the Fastsum collaboration’s programme to determine the spectrum of the bottomonium system as a function of temperature using a variety of approaches. Here we give an update o...

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Published in: Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021)
ISSN: 1824-8039
Published: Trieste, Italy Sissa Medialab 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa69021
Abstract: We discuss results for bottomonium at nonzero temperature obtained using NRQCD on Fastsum Generation 2L ensembles, as part of the Fastsum collaboration’s programme to determine the spectrum of the bottomonium system as a function of temperature using a variety of approaches. Here we give an update on results for spectral functions obtained using Kernel Ridge Regression. We pay in particular attention to the generation of training data and introduce the notion of using lattice QCD ensembles to learn how to improve the generation of training data. A practical implementation is given.
College: Faculty of Science and Engineering
Funders: This work is supported by STFC grant ST/T000813/1. 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). This work used the DiRACExtremeScalingserviceatthe University of Edinburgh, operated by the Edinburgh Parallel Computing Centre on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). This equipment was funded by BEIS capital funding via STFC capital grant ST/R00238X/1 and STFC DiRAC Operations grant ST/R001006/1.
Start Page: 509

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