TY  - JOUR
A1  - Shuzhe, Shi
A1  - Zhou, Kai
A1  - Zhao, Jiaxing
A1  - Mukherjee, Swagato
A1  - Zhuang, Pengfei
T1  - From lattice QCD to in-medium heavy-quark interactions via deep learning
T2  - EPJ Web of Conferences
N2  - 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.
Y1  - 2022
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/70170
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-701702
SN  - 2100-014X
VL  - 259
IS  - 04003
PB  - EDP Sciences
CY  - Les Ulis
ER  -