# Applying Bayesian parameter estimation to relativistic heavy-ion collisions: simultaneous characterization of the initial state and quark-gluon plasma medium

@article{Bernhard2016ApplyingBP,
title={Applying Bayesian parameter estimation to relativistic heavy-ion collisions: simultaneous characterization of the initial state and quark-gluon plasma medium},
author={Jonah Bernhard and J. Scott Moreland and Steffen A. Bass and Jia Liu and Ulrich Heinz},
journal={Physical Review C},
year={2016},
volume={94},
pages={024907}
}
• Published 12 May 2016
• Physics
• Physical Review C
We quantitatively estimate properties of the quark-gluon plasma created in ultrarelativistic heavy-ion collisions utilizing Bayesian statistics and a multiparameter model-to-data comparison. The study is performed using a recently developed parametric initial condition model, TRENTo, which interpolates among a general class of particle production schemes, and a modern hybrid model which couples viscous hydrodynamics to a hadronic cascade. We calibrate the model to multiplicity, transverse…
294 Citations

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