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Dissociation of heavy quarkonia in an anisotropic hot QCD medium in a Quasi-Particle Model

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arxiv 1805.04763 v1 pith:XCYT24NH submitted 2018-05-12 nucl-th

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keywords mediumdissociationanisotropyeffectsquarkoniaanisotropicbeenbinding
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The present article is the follow up work of, Phys.\ Rev.\ D {\bf 94}, 094006 (2016), where we have extended the study of quarkonia dissociation in (momentum) anisotropic hot QCD medium. As evident by the experimentally observed collective flow at RHIC and LHC, the momentum anisotropy is present at almost all the stages after the collision and therefore, it is important to include its effects in the analysis. Employing the in-medium (corrected) potential while considering the anisotropy (both oblate and prolate cases) in the medium, the thermal widths and the binding energies of the heavy quarkonia states (s-wave charmonia and s-wave bottomonia specifically, for radial quantum numbers n = 1 and 2) have been determined. The hot QCD medium effects have been included employing a quasi-particle description. The presence of anisotropy has modified the potential and then the thermal widths and the binding energies of these states in a significant manner. The results show a quite visible shift in the values of dissociation temperatures as compared to the isotropic case. Further, the hot QCD medium interaction effects suppress the dissociation temperature as compared to the case where we consider the medium as a non-interacting ultra-relativistic gas of quarks (anti-quarks) and gluons.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Non-extensive Hard Thermal Loop Resummation and Its Applications: Analysis in Zero and Finite Magnetic Fields

    hep-ph 2024-11 conditional novelty 6.0 of 10

    Non-extensive HTL corrections increase the Debye mass, weaken the heavy quark potential, and lower the predicted melting temperatures of J/Ψ and Υ, with a magnetic field opposing the effect.

  2. Melting of heavy quarkonia in QGP using deep neural networks

    hep-ph 2025-09 conditional novelty 5.0 of 10

    A deep neural network trained on lattice QCD data provides the screening mass and coupling used to compute quarkonium dissociation temperatures, which roughly match earlier potential-model and lattice results.

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