2017
DOI: 10.1103/physrevc.96.044909
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Flow harmonics from self-consistent particlization of a viscous fluid

Abstract: The quantitative extraction of quark-gluon plasma (QGP) properties from heavy-ion data, such as its specific shear viscosity η/s, typically requires comparison to viscous hydrodynamic or "hybrid" hydrodynamics+transport simulations. In either case, one has to convert the fluid to hadrons, yet without additional theory input the conversion is ambiguous for dissipative fluids. Here, shear viscous phase-space corrections calculated using linearized transport theory are applied in CooperFrye freezeout to quantify … Show more

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Cited by 9 publications
(14 citation statements)
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“…where E LR ≡ (pu) is the energy of the particle in the LR frame. The prefactor in (10) has a quadratic momentum dependence at high momenta. Here A, B, and C are dimensionless constants that only depend on the particle mass to temperature ratio z ≡ m/T , and are constrained by the conditions that the bulk δf contributes neither to the local energy density, nor to the local particle density:…”
Section: B Grad Ansatz For Bulk Correctionsmentioning
confidence: 99%
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“…where E LR ≡ (pu) is the energy of the particle in the LR frame. The prefactor in (10) has a quadratic momentum dependence at high momenta. Here A, B, and C are dimensionless constants that only depend on the particle mass to temperature ratio z ≡ m/T , and are constrained by the conditions that the bulk δf contributes neither to the local energy density, nor to the local particle density:…”
Section: B Grad Ansatz For Bulk Correctionsmentioning
confidence: 99%
“…as long as χ satisfies the constraints (32). Bulk viscosity results from the Grad ansatz (10) are discussed in Sec. III B.…”
Section: Relation To Bulk Viscositymentioning
confidence: 99%
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“…In particular, for shear corrections, the most popular quadratic in momentum (Grad) distortion of phase space densities is not supported by kinetic theory calculations [3,4]. This translates into appreciable systematic uncertainties in the extraction of transport coefficients from data [5].…”
Section: Introductionmentioning
confidence: 99%