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

Shi, Shuzhe; Zhou, Kai; Zhao, Jiaxing; Mukherjee, Swagato; Zhuang, Pengfei

doi:10.1051/epjconf/202225904003

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

Journal Article · 31 January 2022 · EPJ Web of Conferences (Online)

DOI: https://doi.org/10.1051/epjconf/202225904003 · OSTI ID:1846028

Shi, Shuzhe ^[1]; Zhou, Kai ^[2]; Zhao, Jiaxing ^[3]; Mukherjee, Swagato ^[4]; Zhuang, Pengfei ^[3]

McGill Univ., Montreal, QC (Canada)
Frankfurt Inst. for Advanced Studies (Germany)
Tsinghua Univ., Beijing (China)
Brookhaven National Lab. (BNL), Upton, NY (United States)

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 (V_R(T, r)) and imaginary (V_I(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 V_R(T, r) and V_I(T, r). The temperature dependence of V_R(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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Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Nuclear Physics (NP)

Grant/Contract Number:: SC0012704

OSTI ID:: 1846028

Report Number(s):: BNL-222749-2022-JAAM

Journal Information:: EPJ Web of Conferences (Online), Journal Name: EPJ Web of Conferences (Online) Vol. 259; ISSN 2100-014X

Publisher:: EDP SciencesCopyright Statement

Country of Publication:: United States

Language:: English

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