A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
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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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2007 ◽
Vol 26
(8)
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pp. 1046-1057
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1992 ◽
Vol 9
(11)
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pp. 2097
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1995 ◽
Vol 30
(2)
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pp. 125-148
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