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

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

doi:10.1051/epjconf/202225805011

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

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

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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.

Original language	English
Article number	05011
Journal	EPJ Web of Conferences
Volume	258
Number of pages	8
ISSN	2100-014X
DOIs	https://doi.org/10.1051/epjconf/202225805011
Publication status	Published - Jan 2022
Event	A Virtual Tribute to Quark Confinement and the Hadron Spectrum 2021 - Duration: 2. Aug 2021 → 6. Aug 2021 https://www.ux.uis.no/vconf21/

Conference

Conference	A Virtual Tribute to Quark Confinement and the Hadron Spectrum 2021
Period	02/08/2021 → 06/08/2021
Internet address	https://www.ux.uis.no/vconf21/

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10.1051/epjconf/202225805011Licence: CC BY

Open Access VersionFinal published version, 436 KBLicence: CC BY

Cite this

@inproceedings{8e969cd08102421bbe72805706ff4ae2,

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

abstract = "We present results from the fastsum collaboration{\textquoteright}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.",

author = "Thomas Spriggs and Gert Aarts and Chris Allton and Timothy Burns and D{\textquoteright}Arcy, {Rachel Horohan} and Benjamin J{\"a}ger and Seyong Kim and Maria-Paola Lombardo and Sam Offler and Ben Page and Ryan, {Sinead M.} and Jon-Ivar Skullerud",

year = "2022",

month = jan,

doi = "10.1051/epjconf/202225805011",

language = "English",

volume = "258",

journal = "EPJ Web Conferences",

issn = "2100-014X",

publisher = "EDP Sciences",

note = "A Virtual Tribute to Quark Confinement and the Hadron Spectrum 2021 ; Conference date: 02-08-2021 Through 06-08-2021",

url = "https://www.ux.uis.no/vconf21/",

}

TY - GEN

T1 - A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions

AU - Spriggs, Thomas

AU - Aarts, Gert

AU - Allton, Chris

AU - Burns, Timothy

AU - D’Arcy, Rachel Horohan

AU - Jäger, Benjamin

AU - Kim, Seyong

AU - Lombardo, Maria-Paola

AU - Offler, Sam

AU - Page, Ben

AU - Ryan, Sinead M.

AU - Skullerud, Jon-Ivar

PY - 2022/1

Y1 - 2022/1

N2 - 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.

AB - 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.

U2 - 10.1051/epjconf/202225805011

DO - 10.1051/epjconf/202225805011

M3 - Conference article

SN - 2100-014X

VL - 258

JO - EPJ Web Conferences

JF - EPJ Web Conferences

M1 - 05011

T2 - A Virtual Tribute to Quark Confinement and the Hadron Spectrum 2021

Y2 - 2 August 2021 through 6 August 2021

ER -

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

Abstract

Conference

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