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.
Medium effects on charmonium production at ultrarelativistic energies available at the CERN Large Hadron Collider
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The statistical hadronization model successfully describes hadron production in nuclear collisions over broad energies, with implications for QCD phase structure.
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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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Statistical hadronization: successes and some open issues
The statistical hadronization model successfully describes hadron production in nuclear collisions over broad energies, with implications for QCD phase structure.