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

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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Gespeichert in:

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

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Übergeordnetes Werk:	In: EPJ Web of Conferences - EDP Sciences, 2010, 258, p 05011(2022)
Übergeordnetes Werk:	volume:258, p 05011 ; year:2022

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1051/epjconf/202225805011

Katalog-ID:	DOAJ004307178

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callnumber-first	Q - Science
author	Spriggs Thomas
spellingShingle	Spriggs Thomas misc QC1-999 misc Physics A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
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topic_title	QC1-999 A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
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title	A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
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title_full	A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
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title_sort	comparison of spectral reconstruction methods applied to non-zero temperature nrqcd meson correlation functions
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title_auth	A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
url	https://doi.org/10.1051/epjconf/202225805011 https://doaj.org/article/2c66ca297f10466ea7e5047f6061ba0e https://www.epj-conferences.org/articles/epjconf/pdf/2022/02/epjconf_vconf2021_05011.pdf https://doaj.org/toc/2100-014X
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A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions

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