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Phenomenological Constraints on the Transport Properties of QCD Matter with Data-Driven Model Averaging
2021
Physical Review Letters
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Using combined data from the Relativistic Heavy Ion and Large Hadron Colliders, we constrain the shear and bulk viscosities of quark-gluon plasma (QGP) at temperatures of ∼150–350 MeV. We use Bayesian inference to translate experimental and theoretical uncertainties into probabilistic constraints for the viscosities. With Bayesian model averaging we propagate an estimate of the model uncertainty generated by the transition from hydrodynamics to hadron transport in the plasma's final evolution
doi:10.15120/gsi-2021-00899
fatcat:5hyc4djq7vempmtudl6z4hjptm