Bulletin of the American Physical Society
5th Joint Meeting of the APS Division of Nuclear Physics and the Physical Society of Japan
Volume 63, Number 12
Tuesday–Saturday, October 23–27, 2018; Waikoloa, Hawaii
Session EA: Frontiers of Quark-Gluon Plasma Physics
7:00 PM–10:00 PM,
Thursday, October 25, 2018
Hilton Room: Kona 4
Chair: Julia Velkovska, Vanderbilt University
Abstract ID: BAPS.2018.HAW.EA.3
Abstract: EA.00003 : Determination of Quark-Gluon-Plasma properties via Bayesian analysis
8:30 PM–9:15 PM
Steffen A Bass
Steffen A Bass
Over the last few years the Duke QCD group has developed techniques based on Bayesian statistics that allow for the simultaneous calibration of a large number of model parameters and the precision extraction of QGP properties including their quantified uncertainties. The computational model used is based on the Trento initial condition model, viscous relativistic hydrodynamics and a microscopic hadronic transport to describe the off-equilibrium late stage hadronic evolution. The analysis starts by selecting a set of salient model parameters - including physical properties such as temperature and/or momentum dependent transport coefficients - then evaluates the event-by-event heavy-ion collision model at a small set of points in the multidimensional parameter space, varying all parameters simultaneously. Gaussian process emulators are used to non-parametrically interpolate the parameter space, providing fast predictions at any point in parameter space with quantitative uncertainty. Finally, the parameter space is systematically explored using a Markov chain Monte Carlo (MCMC) to obtain rigorous constraints on all parameters simultaneously, including all correlations among the parameters.
In this talk I will review the basic components of the Bayesian analysis and discuss recent progress in the determination of QGP initial conditions and transport coefficients.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.HAW.EA.3
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