• Open Access

Investigating the collision energy dependence of η/s in the beam energy scan at the BNL Relativistic Heavy Ion Collider using Bayesian statistics

Jussi Auvinen, Jonah E. Bernhard, Steffen A. Bass, and Iurii Karpenko
Phys. Rev. C 97, 044905 – Published 13 April 2018

Abstract

We determine the probability distributions of the shear viscosity over the entropy density ratio η/s in the quark-gluon plasma formed in Au + Au collisions at sNN=19.6,39, and 62.4GeV, 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 η/s to be larger at smaller sNN, although the uncertainties still allow for a constant value between 0.10 and 0.15 for the investigated collision energy range.

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  • Received 12 June 2017
  • Revised 8 December 2017

DOI:https://doi.org/10.1103/PhysRevC.97.044905

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Funded by SCOAP3.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Nuclear Physics

Authors & Affiliations

Jussi Auvinen*, Jonah E. Bernhard, and Steffen A. Bass

  • Department of Physics, Duke University, Durham, North Carolina 27708, USA

Iurii Karpenko

  • INFN - Sezione di Firenze, I-50019 Sesto Fiorentino, Firenze, Italy

  • *jaa49@phy.duke.edu

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Issue

Vol. 97, Iss. 4 — April 2018

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