Investigating the collision energy dependence of $\eta$/s in RHIC beam energy scan using Bayesian statistics

Abstract

We determine the probability distributions 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 inference and Gaussian process emulators for a model-to-data statistical analysis that probes the full input parameter space of a transport+viscous hydrodynamics hybrid model. We find the most likely value of $\eta /s$ to be larger at smaller $\sqrt{s_{NN}}$, although the uncertainties still allow for a constant value between 0.10 and 0.15 for the investigated collision energy range.

44 pages, 34 figures. Submitted to Phys. Rev. C

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