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Spectral Reconstruction in NRQCD via the Backus-Gilbert Method
Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021), Volume: 396, Start page: 134
Swansea University Authors:
BENJAMIN PAGE, Gert Aarts , Chris Allton
, Sam Offler
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DOI (Published version): 10.22323/1.396.0134
Abstract
We present progress results from the FASTSUM collaboration’s programme to determine the spectrum of the bottomonium system as a function of temperature using a variety of approaches. In thiscontribution, the Backus-Gilbert method is used to reconstruct spectral functions from NRQCDmeson correlator d...
Published in: | Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021) |
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ISSN: | 1824-8039 |
Published: |
Trieste, Italy
Sissa Medialab
2022
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa69022 |
Abstract: |
We present progress results from the FASTSUM collaboration’s programme to determine the spectrum of the bottomonium system as a function of temperature using a variety of approaches. In thiscontribution, the Backus-Gilbert method is used to reconstruct spectral functions from NRQCDmeson correlator data from FASTSUM’s anisotropic ensembles at nonzero temperature. We focus inparticular on the resolving power of the method, providing a demonstration of how the underlyingresolution functions can be probed by exploiting the Laplacian nature of the NRQCD kernel. Weconclude with estimates of the bottomonium ground state mass and widths at nonzero temperature. |
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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).BPhasbeensupportedbyaSwanseaUniversityResearchExcellenceScholarship (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 WelshGovernment, and the University of Southern Denmark for use of computing facilities. |
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