Parameter extractions for RHIC BES using Bayesian statistics
Publication
, Conference
Auvinen, J; Karpenko, I; Bernhard, JE; Bass, SA
Published in: Proceedings of Science
January 1, 2017
We present the latest results on the collision energy dependence of ?/s, obtained from a Bayesian model-to-data analysis of UrQMD + viscous hydrodynamics hybrid model to RHIC beam energy scan data for Au+Au collisions at 19.6, 39 and 62.4 GeV. Changes in the most likely value of ?/s over beam energy scan range suggest a dependence on baryon chemical potential µB. However, we also find the uncertainties regarding the value of ?/s to be notable at s
Duke Scholars
Published In
Proceedings of Science
EISSN
1824-8039
Publication Date
January 1, 2017
Volume
2017-August
Citation
APA
Chicago
ICMJE
MLA
NLM
Auvinen, J., Karpenko, I., Bernhard, J. E., & Bass, S. A. (2017). Parameter extractions for RHIC BES using Bayesian statistics. In Proceedings of Science (Vol. 2017-August).
Auvinen, J., I. Karpenko, J. E. Bernhard, and S. A. Bass. “Parameter extractions for RHIC BES using Bayesian statistics.” In Proceedings of Science, Vol. 2017-August, 2017.
Auvinen J, Karpenko I, Bernhard JE, Bass SA. Parameter extractions for RHIC BES using Bayesian statistics. In: Proceedings of Science. 2017.
Auvinen, J., et al. “Parameter extractions for RHIC BES using Bayesian statistics.” Proceedings of Science, vol. 2017-August, 2017.
Auvinen J, Karpenko I, Bernhard JE, Bass SA. Parameter extractions for RHIC BES using Bayesian statistics. Proceedings of Science. 2017.
Published In
Proceedings of Science
EISSN
1824-8039
Publication Date
January 1, 2017
Volume
2017-August