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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A PINN-trained quasi-parton model reproduces lattice cumulants at vanishing chemical potentials and supplies a consistent four-dimensional QCD equation of state at finite densities.
A new RTA form with counter-terms yields species-dependent first-order viscous corrections that modify light-hadron yields and K/π, p/π ratios in p-Pb and Pb-Pb collisions.
Bayesian posteriors from JETSCAPE jet-quenching model are largely compatible across centrality but exhibit shifts across beam energy and observable class, with varying ability to predict complementary datasets.
Event-by-event hydrodynamic fluctuations have marginal effects on bottomonium R_AA and v2 in 5.02 TeV Pb-Pb collisions.
citing papers explorer
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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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Four-dimensional QCD equation of state from a quasi-parton model with physics-informed neural networks
A PINN-trained quasi-parton model reproduces lattice cumulants at vanishing chemical potentials and supplies a consistent four-dimensional QCD equation of state at finite densities.
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Species-dependent viscous corrections at particlization: A novel relaxation time approximation approach
A new RTA form with counter-terms yields species-dependent first-order viscous corrections that modify light-hadron yields and K/π, p/π ratios in p-Pb and Pb-Pb collisions.
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Bayesian inference constraints on jet quenching across centrality, beam energy, and observable classes in LHC heavy-ion collisions
Bayesian posteriors from JETSCAPE jet-quenching model are largely compatible across centrality but exhibit shifts across beam energy and observable class, with varying ability to predict complementary datasets.
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Effects of event-by-event hydrodynamic fluctuations on bottomonium dynamics in Pb--Pb collisions at $\sqrt{s_{NN}} = 5.02$ TeV
Event-by-event hydrodynamic fluctuations have marginal effects on bottomonium R_AA and v2 in 5.02 TeV Pb-Pb collisions.