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Title: Heavy quark potential in the quark-gluon plasma: Deep neural network meets lattice quantum chromodynamics

Journal Article · · Physical Review D

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. The latter can be characterized by the temperature (T) dependent potential, with real (VR(T, r)) and imaginary (VI (T, r)) parts, as a function of the spatial separation (r). 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, here, we obtain VR(T, r) and VI (T, r) in a model independent fashion. The temperature dependence of VR(T, r) was found to be very mild between T ≈ 0 -334 MeV. For T = 151- 334 MeV, VI (T, r) shows a rapid increase with T and r, which is much larger than the perturbation-theory-based expectations

Research Organization:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Nuclear Physics (NP); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); National Natural Science Foundation of China (NSFC); Guangdong Major Project of Basic and Applied Basic Research
Grant/Contract Number:
SC0012704; 2020B0301030008; 11890712; 12075129
OSTI ID:
1841594
Alternate ID(s):
OSTI ID: 1842807
Report Number(s):
BNL-222684-2022-JAAM; PRVDAQ; 014017
Journal Information:
Physical Review D, Journal Name: Physical Review D Vol. 105 Journal Issue: 1; ISSN 2470-0010
Publisher:
American Physical SocietyCopyright Statement
Country of Publication:
United States
Language:
English

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