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Dissociation of Quarkonium in a Complex Potential

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arxiv 1401.0172 v2 pith:7LBSAMQ4 submitted 2013-12-31 hep-ph nucl-th

classification hep-phnucl-th
keywords potentialmakesanisotropydissociationimaginary-partmediumquarkoniacompared
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We have studied the quasi-free dissociation of quarkonia through a complex potential which is obtained by correcting both the perturbative and nonperturbative terms of the $Q \bar Q$ potential at T=0 through the dielectric function in real-time formalism. The presence of confining nonperturbative term even above the transition temperature makes the real-part of the potential more stronger and thus makes the quarkonia more bound and also enhances the (magnitude) imaginary-part which, in turn contributes more to the thermal width, compared to the medium-contribution of the perturbative term alone. These cumulative observations result the quarkonia to dissociate at higher temperatures. Finally we extend our calculation to a medium, exhibiting local momentum anisotropy, by calculating the leading anisotropic corrections to the propagators in Keldysh representation. The presence of anisotropy makes the real-part of the potential stronger but the imaginary-part is weakened slightly. However, since the medium corrections to the imaginary-part is a small perturbation to the vacuum part, overall the anisotropy makes the dissociation temperatures higher, compared to isotropic medium.

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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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