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A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions

Thomas Spriggs, Gert Aarts Orcid Logo, Chris Allton Orcid Logo, Timothy Burns Orcid Logo, Rachel Horohan D’Arcy, Benjamin Jäger, Seyong Kim, Maria-Paola Lombardo, Sam Offler, Ben Page, Sinead M. Ryan, Jon-Ivar Skullerud

EPJ Web of Conferences, Volume: 258, Start page: 05011

Swansea University Authors: Thomas Spriggs, Gert Aarts Orcid Logo, Chris Allton Orcid Logo, Timothy Burns Orcid Logo, Sam Offler, Ben Page

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Abstract

We present results from the fastsum collaboration’s programme to determine the spectrum of the bottomonium system as a function of temperature. Three different methods of extracting spectral information are discussed: a Maximum Likelihood approach using a Gaussian spectral function for the ground st...

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Published in: EPJ Web of Conferences
ISSN: 2100-014X
Published: EDP Sciences 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa60262
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Abstract: We present results from the fastsum collaboration’s programme to determine the spectrum of the bottomonium system as a function of temperature. Three different methods of extracting spectral information are discussed: a Maximum Likelihood approach using a Gaussian spectral function for the ground state, the Backus Gilbert method, and the Kernel Ridge Regression machine learning procedure. We employ the fastsum anisotropic lattices with 2+1 dynamical quark flavours, with temperatures ranging from 47 to 375 MeV.
College: Faculty of Science and Engineering
Funders: This work is supported by STFC grant ST/T000813/1. RHD has been supported by a Maynooth University SPUR scholarship. 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).
Start Page: 05011