Thermodynamics of Heavy Quarkonium in a Bayesian Holographic QCD model
Liqiang Zhu, Ou-Yang Luo, Xun Chen, Kai Zhou, Hanzhong Zhang, and Defu Hou

TL;DR
This paper develops a Bayesian holographic QCD model using lattice data to analyze how heavy quarkonium properties change with temperature and chemical potential, revealing dissociation behaviors in extreme conditions.
Contribution
It introduces a novel Bayesian holographic QCD framework calibrated with lattice data to systematically study heavy quarkonium thermodynamics.
Findings
Higher temperature and chemical potential promote quarkonium dissociation.
Entropy and entropy force increase with temperature and chemical potential.
Binding energy decreases, indicating easier dissociation at extreme conditions.
Abstract
Leveraging high-precision lattice QCD data on the equation of state and baryon number susceptibility at vanishing chemical potential, we construct a Bayesian holographic QCD model and systematically analyze the thermodynamic properties of heavy quarkonium in QCD matter under varying temperatures and chemical potentials. We compute the quark-antiquark interquark distance, potential energy, entropy, binding energy, and internal energy. We present detailed posterior distribution results of the thermodynamic quantities of heavy quarkonium, including maximum a posteriori (MAP) value estimates and 95\% confidence levels (CL). Through numerical simulations and theoretical analysis, we find that increasing temperature and chemical potential decrease the quark distance, thereby facilitating the dissociation of heavy quarkonium and leading to suppressed potential energy. The increase in…
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Taxonomy
TopicsHigh-Energy Particle Collisions Research · Quantum Chromodynamics and Particle Interactions · High-pressure geophysics and materials
