Systematic Extraction of QGP Properties

TL;DR

This paper uses Bayesian analysis and Gaussian process emulators to study how the shear viscosity to entropy density ratio varies with collision energy in heavy-ion collisions, providing insights into quark-gluon plasma properties.

Contribution

It introduces a comprehensive Bayesian framework to quantify the energy dependence of QGP shear viscosity using advanced statistical tools and hybrid modeling.

Findings

$rac{ ext{shear viscosity}}{ ext{entropy density}}$ decreases with increasing collision energy.

Supports previous findings of energy-dependent QGP viscosity.

Provides a systematic statistical approach for QGP property extraction.

Abstract

We investigate the collision energy dependence of shear viscosity over the entropy density ratio $\eta/s$ in Au+Au collisions at $\sqrt{s_{NN}}=19.6, 39$, and $62.4$ GeV, using Bayesian statistical analysis and Gaussian process emulators to explore the full input parameter space of a transport+hydrodynamics hybrid model. The ratio is found to decrease as a function of collision energy, supporting the results from previous studies performed with the same hybrid model.