From lattice QCD to in-medium heavy-quark interactions via deep learning

  • Bottomonium states are key probes for experimental studies of the quark-gluon plasma (QGP) created in high-energy nuclear collisions. Theoretical models of bottomonium productions in high-energy nuclear collisions rely on the in-medium interactions between the bottom and antibottom quarks, which can be characterized by real (VR(T, r)) and imaginary (VI(T, r)) potentials, as functions of temperature and spatial separation. Recently, the masses and thermal widths of up to 3S and 2P bottomonium states in QGP were calculated using lattice quantum chromodynamics (LQCD). Starting from these LQCD results and through a novel application of deep neural network (DNN), here, we obtain model-independent results for VR(T, r) and VI(T, r). The temperature dependence of VR(T, r) was found to be very mild between T ≈ 0 − 330 MeV. Meanwhile, VI(T, r) shows rapid increase with T and r, which is much larger than the perturbation theory based expectations.

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Author:Shi ShuzheORCiDGND, Kai ZhouORCiD, Jiaxing ZhaoORCiD, Swagato MukherjeeORCiDGND, Pengfei ZhuangORCiD
Parent Title (English):EPJ Web of Conferences
Publisher:EDP Sciences
Place of publication:Les Ulis
Document Type:Article
Date of Publication (online):2022/02/01
Date of first Publication:2022/02/01
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Contributing Corporation:The 19th International Conference of Strangeness in Quark Matter (SQM 2021)
Release Date:2022/09/29
Page Number:6
Institutes:Physik / Physik
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik
Licence (German):License LogoCreative Commons - Namensnennung 4.0