Deep learning extracts a unified in-medium heavy quark potential from multi-energy bottomonium data, finding the real part close to vacuum Cornell form with weak screening while the imaginary part dominates suppression.
J/psi Production in Quark-Gluon Plasma
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abstract
We study J/psi production at RHIC and LHC energies with both initial production and regeneration. We solve the coupled set of transport equation for the J/psi distribution in phase space and the hydrodynamic equation for evolution of quark-gluon plasma. At RHIC, continuous regeneration is crucial for the J/psi momentum distribution while the elliptic flow is still dominated by initial production. At LHC energy, almost all the initially created J\psis are dissociated in the medium and regeneration dominates the J/psi properties.
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A time-dependent Schrödinger equation model reproduces suppression of Υ(nS)/Υ(1S) and ψ(2S)/J/ψ yield ratios versus multiplicity in p-Pb collisions at 8.16 TeV, supporting transient hot QCD medium in small systems.
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Unified Extraction of In-Medium Heavy Quark Potentials from RHIC to LHC Energies via Deep Learning
Deep learning extracts a unified in-medium heavy quark potential from multi-energy bottomonium data, finding the real part close to vacuum Cornell form with weak screening while the imaginary part dominates suppression.
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Probing hot QCD medium with heavy quarkonium in small and large collision systems
A time-dependent Schrödinger equation model reproduces suppression of Υ(nS)/Υ(1S) and ψ(2S)/J/ψ yield ratios versus multiplicity in p-Pb collisions at 8.16 TeV, supporting transient hot QCD medium in small systems.