Bayesian Inference of the Specific Shear and Bulk Viscosities of the Quark-Gluon Plasma at Crossover from $\phi$ and $\Omega$ Observables
Zhidong Yang, Lie-Wen Chen

TL;DR
This paper employs Bayesian inference with a viscous blastwave model to simultaneously determine the specific shear and bulk viscosities of the quark-gluon plasma at crossover from $ ext{phi}$ and $ ext{Omega}$ observables in heavy-ion collisions.
Contribution
It introduces a novel method combining Bayesian inference and viscous blastwave modeling to extract both shear and bulk viscosities of the QGP from experimental data.
Findings
Estimated shear viscosity $ ext{eta}/s \,=\, 2.08^{+1.10}_{-1.09}/4\pi$
Estimated bulk viscosity $ ext{zeta}/s \,=\, 0.06^{+0.04}_{-0.04}$
Provides constraints on QGP viscosities at crossover temperature around 160 MeV.
Abstract
Due to their weak final state interactions, the meson and baryon provide unique probes of the properties of the quark-gluon plasma (QGP) formed in relativistic heavy-ion collisions. Using the quark recombination model with the quark phase-space information parameterized in a viscous blastwave, we study the transverse-momentum spectra and elliptic flows of and in Au+Au collisions at GeV and Pb+Pb collisions at TeV. The viscous blastwave includes non-equilibrium deformations of thermal distributions due to shear and bulk stresses and thus carries information on the specific shear viscosity and the specific bulk viscosity of the QGP. We perform a model-to-data comparison with Bayesian inference and simultaneously obtain and $\zeta/s=…
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Taxonomy
TopicsHigh-Energy Particle Collisions Research · Quantum Chromodynamics and Particle Interactions · Particle physics theoretical and experimental studies
