Investigating the collision energy dependence of η/s in the beam energy scan at the BNL Relativistic Heavy Ion Collider using Bayesian statistics
Publication
, Journal Article
Auvinen, J; Bernhard, JE; Bass, SA; Karpenko, I
Published in: Physical Review C
April 13, 2018
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.
Duke Scholars
Altmetric Attention Stats
Dimensions Citation Stats
Published In
Physical Review C
DOI
EISSN
2469-9993
ISSN
2469-9985
Publication Date
April 13, 2018
Volume
97
Issue
4
Citation
APA
Chicago
ICMJE
MLA
NLM
Auvinen, J., Bernhard, J. E., Bass, S. A., & Karpenko, I. (2018). Investigating the collision energy dependence of η/s in the beam energy scan at the BNL Relativistic Heavy Ion Collider using Bayesian statistics. Physical Review C, 97(4). https://doi.org/10.1103/PhysRevC.97.044905
Auvinen, J., J. E. Bernhard, S. A. Bass, and I. Karpenko. “Investigating the collision energy dependence of η/s in the beam energy scan at the BNL Relativistic Heavy Ion Collider using Bayesian statistics.” Physical Review C 97, no. 4 (April 13, 2018). https://doi.org/10.1103/PhysRevC.97.044905.
Auvinen J, Bernhard JE, Bass SA, Karpenko I. Investigating the collision energy dependence of η/s in the beam energy scan at the BNL Relativistic Heavy Ion Collider using Bayesian statistics. Physical Review C. 2018 Apr 13;97(4).
Auvinen, J., et al. “Investigating the collision energy dependence of η/s in the beam energy scan at the BNL Relativistic Heavy Ion Collider using Bayesian statistics.” Physical Review C, vol. 97, no. 4, Apr. 2018. Scopus, doi:10.1103/PhysRevC.97.044905.
Auvinen J, Bernhard JE, Bass SA, Karpenko I. Investigating the collision energy dependence of η/s in the beam energy scan at the BNL Relativistic Heavy Ion Collider using Bayesian statistics. Physical Review C. 2018 Apr 13;97(4).
Published In
Physical Review C
DOI
EISSN
2469-9993
ISSN
2469-9985
Publication Date
April 13, 2018
Volume
97
Issue
4