Phenomenological constraints on the transport properties of QCD matter with data-driven model averaging

Journal Article (Academic article)

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 ${\sim\,}150{-}350$ MeV. We use Bayesian inference to translate experimental and theoretical uncertainties into probabilistic constraints for the viscosities. With Bayesian Model Averaging we account for the irreducible model ambiguities in the transition from a fluid description of the QGP to hadronic transport in the final evolution stage, providing the most reliable phenomenological constraints to date on the QGP viscosities.

Full Text

Duke Authors

Cited Authors

  • Everett, D; Ke, W; Paquet, J-F; Vujanovic, G; Bass, SA; Du, L; Gale, C; Heffernan, M; Heinz, U; Liyanage, D; Luzum, M; Majumder, A; McNelis, M; Shen, C; Xu, Y; Angerami, A; Cao, S; Chen, Y; Coleman, J; Cunqueiro, L; Dai, T; Ehlers, R; Elfner, H; Fan, W; Fries, RJ; Garza, F; He, Y; Jacak, BV; Jacobs, PM; Jeon, S; Kim, B; II, MK; Kumar, A; Mak, S; Mulligan, J; Nattrass, C; Oliinychenko, D; Park, C; Putschke, JH; Roland, G; Schenke, B; Schwiebert, L; Silva, A; Sirimanna, C; Soltz, RA; Tachibana, Y; Wang, X-N; Wolpert, RL

Published Date

  • October 8, 2020

PubMed ID

  • 34213947