Phenomenological Constraints on the Transport Properties of QCD Matter with Data-Driven Model Averaging
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 f...
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American Physical Society (APS)
2022
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Online Access: | https://hdl.handle.net/1721.1/142131 |
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author | Roland, Gunther Chen, Y. |
author2 | Massachusetts Institute of Technology. Laboratory for Nuclear Science |
author_facet | Massachusetts Institute of Technology. Laboratory for Nuclear Science Roland, Gunther Chen, Y. |
author_sort | Roland, Gunther |
collection | MIT |
description | 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. |
first_indexed | 2024-09-23T14:46:20Z |
format | Article |
id | mit-1721.1/142131 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T14:46:20Z |
publishDate | 2022 |
publisher | American Physical Society (APS) |
record_format | dspace |
spelling | mit-1721.1/1421312023-01-24T21:21:07Z Phenomenological Constraints on the Transport Properties of QCD Matter with Data-Driven Model Averaging Roland, Gunther Chen, Y. Massachusetts Institute of Technology. Laboratory for Nuclear Science Massachusetts Institute of Technology. Department of Physics 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. 2022-04-27T15:42:19Z 2022-04-27T15:42:19Z 2021 2022-04-27T15:29:32Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/142131 Roland, Gunther. 2021. "Phenomenological Constraints on the Transport Properties of QCD Matter with Data-Driven Model Averaging." Physical Review Letters, 126 (24). en 10.1103/PHYSREVLETT.126.242301 Physical Review Letters Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf American Physical Society (APS) APS |
spellingShingle | Roland, Gunther Chen, Y. Phenomenological Constraints on the Transport Properties of QCD Matter with Data-Driven Model Averaging |
title | Phenomenological Constraints on the Transport Properties of QCD Matter with Data-Driven Model Averaging |
title_full | Phenomenological Constraints on the Transport Properties of QCD Matter with Data-Driven Model Averaging |
title_fullStr | Phenomenological Constraints on the Transport Properties of QCD Matter with Data-Driven Model Averaging |
title_full_unstemmed | Phenomenological Constraints on the Transport Properties of QCD Matter with Data-Driven Model Averaging |
title_short | Phenomenological Constraints on the Transport Properties of QCD Matter with Data-Driven Model Averaging |
title_sort | phenomenological constraints on the transport properties of qcd matter with data driven model averaging |
url | https://hdl.handle.net/1721.1/142131 |
work_keys_str_mv | AT rolandgunther phenomenologicalconstraintsonthetransportpropertiesofqcdmatterwithdatadrivenmodelaveraging AT cheny phenomenologicalconstraintsonthetransportpropertiesofqcdmatterwithdatadrivenmodelaveraging |