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


Journal Article

© 2016 American Physical Society. 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 momentum, and flow data and report constraints on the parametrized initial conditions and the temperature-dependent transport coefficients of the quark-gluon plasma. We show that initial entropy deposition is consistent with a saturation-based picture, extract a relation between the minimum value and slope of the temperature-dependent specific shear viscosity, and find a clear signal for a nonzero bulk viscosity.

Full Text

Duke Authors

Cited Authors

  • Bernhard, JE; Moreland, JS; Bass, SA; Liu, J; Heinz, U

Published Date

  • August 12, 2016

Published In

Volume / Issue

  • 94 / 2

Electronic International Standard Serial Number (EISSN)

  • 2469-9993

International Standard Serial Number (ISSN)

  • 2469-9985

Digital Object Identifier (DOI)

  • 10.1103/PhysRevC.94.024907

Citation Source

  • Scopus