A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
1 Department of Physics, Swansea University, Swansea SA2 8PP, United Kingdom
2 European Centre for Theoretical Studies in Nuclear Physics and Related Areas (ECT*) & Fondazione Bruno Kessler Strada delle Tabarelle 286, 38123 Villazzano (TN), Italy
3 Department of Theoretical Physics, National University of Ireland Maynooth, County Kildare, Ireland
4 CP3-Origins & Danish IAS, Department of Mathematics and Computer Science, University of Southern Denmark, 5230 Odense M, Denmark
5 Department of Physics, Sejong University, Seoul 143-747, Korea
6 INFN, Sezione di Firenze, 50019 Sesto Fiorentino (FI), Italy
7 School of Mathematics, Trinity College, Dublin, Ireland
* e-mail: firstname.lastname@example.org
Published online: 11 January 2022
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.
© The Authors, published by EDP Sciences, 2022
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