Phenomenological Constraints on the Transport Properties of QCD Matter with Data-Driven Model Averaging
Journal Article
·
· Physical Review Letters
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 stage, providing the most reliable phenomenological constraints to date on the QGP viscosities.
- Research Organization:
- Brookhaven National Laboratory (BNL), Upton, NY (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Nuclear Physics (NP); National Science Foundation (NSF); USDOE National Nuclear Security Administration (NNSA)
- Contributing Organization:
- JETSCAPE Collaboration
- Grant/Contract Number:
- AC02-05CH11231; AC52-07NA27344; SC0013460; SC0004286; SC0012704; FG02-92ER40713; FG02-05ER41367
- OSTI ID:
- 1797530
- Alternate ID(s):
- OSTI ID: 1809071; OSTI ID: 1818260; OSTI ID: 1885103
- Report Number(s):
- BNL-221848-2021-JAAM; LLNL-JRNL-826818; PRLTAO; 242301
- Journal Information:
- Physical Review Letters, Journal Name: Physical Review Letters Vol. 126 Journal Issue: 24; ISSN 0031-9007
- Publisher:
- American Physical SocietyCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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