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.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | 509 |
| Tidsskrift | Proceedings of Science |
| Vol/bind | 396 |
| ISSN | 1824-8039 |
| DOI | |
| Status | Udgivet - 8. jul. 2022 |
| Begivenhed | 38th International Symposium on Lattice Field Theory, LATTICE 2021 - Virtual, Online, USA Varighed: 26. jul. 2021 → 30. jul. 2021 |
Konference
| Konference | 38th International Symposium on Lattice Field Theory, LATTICE 2021 |
|---|---|
| Land/Område | USA |
| By | Virtual, Online |
| Periode | 26/07/2021 → 30/07/2021 |
Bibliografisk note
Funding Information:We thank Jonas Glesaaen for collaboration at the early stages of this project. 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 DiRAC Extreme Scaling service at the 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. DiRAC is part of the National e-Infrastructure. This work was performed using PRACE resources at Cineca via grants 2015133079 and 2018194714. We acknowledge the support of the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government, and the University of
Funding Information:
We thank Jonas Glesaaen for collaboration at the early stages of this project. 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 DiRAC Extreme Scaling service at the 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. DiRAC is part of the National e-Infrastructure. This work was performed using PRACE resources at Cineca via grants 2015133079 and 2018194714. We acknowledge the support of the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government, and the University of Southern Denmark for use of computing facilities. We are grateful to the Hadron Spectrum Collaboration for the use of their zero temperature ensemble.
Publisher Copyright:
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