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Cited by 508

The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.

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

Open access
Bernhard, Jonah E., Moreland, J. Scott, Bass, Steffen A., Liu, Jia, Heinz, Ulrich·2016·Physical Review C

Abstract

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, ${\mathrm{T}}_{\mathrm{R}}\text{ENTo}$, 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.

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Metadata

Authors
Bernhard, J. E., Moreland, J. S., Bass, S. A., Liu, J., & Heinz, U.
Venue
Physical Review C
Published
2016-08-12
Volume
94
Issue
2
ISSN
  • 0556-2813 (ISSN-L)
  • 2469-9985
  • 2469-9993
OpenAlex
W2354504395
Cited by
508
References
83
FWCI
28.05
Type
journal article
Language
en
Open access
green

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Bernhard, J. E., Moreland, J. S., Bass, S. A., Liu, J., & Heinz, U. (2016). Applying Bayesian parameter estimation to relativistic heavy-ion collisions: Simultaneous characterization of the initial state and quark-gluon plasma medium. Physical Review C. https://doi.org/10.1103/physrevc.94.024907

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