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Title: Multisystem Bayesian constraints on the transport coefficients of QCD matter

Abstract

We study the properties of the strongly coupled quark-gluon plasma with a multistage model of heavy-ion collisions that combines the TRENTo initial condition ansatz, free-streaming, viscous relativistic hydrodynamics, and a relativistic hadronic transport. A model-to-data comparison with Bayesian inference is performed, revisiting assumptions made in previous studies. The role of parameter priors is studied in light of their importance for the interpretation of results. We emphasize the use of closure tests to perform extensive validation of the analysis workflow before comparison with observations. Our study combines measurements from the Large Hadron Collider (LHC) and the Relativistic Heavy Ion Collider (RHIC), achieving a good simultaneous description of a wide range of hadronic observables from both colliders. The selected experimental data provide reasonable constraints on the shear and the bulk viscosities of the quark-gluon plasma at T ≈ 150–250 MeV, but their constraining power degrades at higher temperatures, T ≳ 250 MeV. Furthermore, these viscosity constraints are found to depend significantly on how viscous corrections are handled in the transition from hydrodynamics to the hadronic transport. Several other model parameters, including the free-streaming time, show similar model sensitivity, while the initial condition parameters associated with the TRENTo ansatz are quite robust againstmore » variations of the particlization prescription. We also report on the sensitivity of individual observables to the various model parameters. Finally, Bayesian model selection is used to quantitatively compare the agreement with measurements for different sets of model assumptions, including different particlization models and different choices for which parameters are allowed to vary between RHIC and LHC energies.« less

Authors:
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Publication Date:
Research Org.:
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 Org.:
USDOE Office of Science (SC), Nuclear Physics (NP); USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), High Energy Physics (HEP)
Contributing Org.:
JETSCAPE Collaboration
OSTI Identifier:
1782989
Alternate Identifier(s):
OSTI ID: 1805275; OSTI ID: 1830636; OSTI ID: 1885102
Report Number(s):
BNL-221738-2021-JAAM; LLNL-JRNL-826819
Journal ID: ISSN 2469-9985; PRVCAN; 054904
Grant/Contract Number:  
AC02-05CH11231; AC52-07NA27344; SC0013460; SC0004286; SC0012704; FG02-92ER40713; FG02-05ER41367
Resource Type:
Published Article
Journal Name:
Physical Review C
Additional Journal Information:
Journal Name: Physical Review C Journal Volume: 103 Journal Issue: 5; Journal ID: ISSN 2469-9985
Publisher:
American Physical Society
Country of Publication:
United States
Language:
English
Subject:
73 NUCLEAR PHYSICS AND RADIATION PHYSICS; 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; Collective flow; Equations of state of nuclear matter; Particle & resonance production; Particle correlations & fluctuations; Quark-gluon plasma; Relativistic heavy-ion collisions; Bayesian methods; collective flow; equations of state of nuclear matter; particle & resonance production; particle correlations & fluctuations; quark-gluon plasma; relativistic heavy-ion collisions

Citation Formats

Everett, D., Ke, W., Paquet, J. -F., Vujanovic, G., Bass, S. A., 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, R. J., Garza, F., He, Y., Jacak, B. V., Jacobs, P. M., Jeon, S., Kim, B., Kordell, M., Kumar, A., Mak, S., Mulligan, J., Nattrass, C., Oliinychenko, D., Park, C., Putschke, J. H., Roland, G., Schenke, B., Schwiebert, L., Silva, A., Sirimanna, C., Soltz, R. A., Tachibana, Y., Wang, X. -N., Wolpert, R. L., and JETSCAPE Collaboration. Multisystem Bayesian constraints on the transport coefficients of QCD matter. United States: N. p., 2021. Web. doi:10.1103/PhysRevC.103.054904.
Everett, D., Ke, W., Paquet, J. -F., Vujanovic, G., Bass, S. A., 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, R. J., Garza, F., He, Y., Jacak, B. V., Jacobs, P. M., Jeon, S., Kim, B., Kordell, M., Kumar, A., Mak, S., Mulligan, J., Nattrass, C., Oliinychenko, D., Park, C., Putschke, J. H., Roland, G., Schenke, B., Schwiebert, L., Silva, A., Sirimanna, C., Soltz, R. A., Tachibana, Y., Wang, X. -N., Wolpert, R. L., & JETSCAPE Collaboration. Multisystem Bayesian constraints on the transport coefficients of QCD matter. United States. https://doi.org/10.1103/PhysRevC.103.054904
Everett, D., Ke, W., Paquet, J. -F., Vujanovic, G., Bass, S. A., 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, R. J., Garza, F., He, Y., Jacak, B. V., Jacobs, P. M., Jeon, S., Kim, B., Kordell, M., Kumar, A., Mak, S., Mulligan, J., Nattrass, C., Oliinychenko, D., Park, C., Putschke, J. H., Roland, G., Schenke, B., Schwiebert, L., Silva, A., Sirimanna, C., Soltz, R. A., Tachibana, Y., Wang, X. -N., Wolpert, R. L., and JETSCAPE Collaboration. Fri . "Multisystem Bayesian constraints on the transport coefficients of QCD matter". United States. https://doi.org/10.1103/PhysRevC.103.054904.
@article{osti_1782989,
title = {Multisystem Bayesian constraints on the transport coefficients of QCD matter},
author = {Everett, D. and Ke, W. and Paquet, J. -F. and Vujanovic, G. and Bass, S. A. and Du, L. and Gale, C. and Heffernan, M. and Heinz, U. and Liyanage, D. and Luzum, M. and Majumder, A. and McNelis, M. and Shen, C. and Xu, Y. and Angerami, A. and Cao, S. and Chen, Y. and Coleman, J. and Cunqueiro, L. and Dai, T. and Ehlers, R. and Elfner, H. and Fan, W. and Fries, R. J. and Garza, F. and He, Y. and Jacak, B. V. and Jacobs, P. M. and Jeon, S. and Kim, B. and Kordell, M. and Kumar, A. and Mak, S. and Mulligan, J. and Nattrass, C. and Oliinychenko, D. and Park, C. and Putschke, J. H. and Roland, G. and Schenke, B. and Schwiebert, L. and Silva, A. and Sirimanna, C. and Soltz, R. A. and Tachibana, Y. and Wang, X. -N. and Wolpert, R. L. and JETSCAPE Collaboration},
abstractNote = {We study the properties of the strongly coupled quark-gluon plasma with a multistage model of heavy-ion collisions that combines the TRENTo initial condition ansatz, free-streaming, viscous relativistic hydrodynamics, and a relativistic hadronic transport. A model-to-data comparison with Bayesian inference is performed, revisiting assumptions made in previous studies. The role of parameter priors is studied in light of their importance for the interpretation of results. We emphasize the use of closure tests to perform extensive validation of the analysis workflow before comparison with observations. Our study combines measurements from the Large Hadron Collider (LHC) and the Relativistic Heavy Ion Collider (RHIC), achieving a good simultaneous description of a wide range of hadronic observables from both colliders. The selected experimental data provide reasonable constraints on the shear and the bulk viscosities of the quark-gluon plasma at T ≈ 150–250 MeV, but their constraining power degrades at higher temperatures, T ≳ 250 MeV. Furthermore, these viscosity constraints are found to depend significantly on how viscous corrections are handled in the transition from hydrodynamics to the hadronic transport. Several other model parameters, including the free-streaming time, show similar model sensitivity, while the initial condition parameters associated with the TRENTo ansatz are quite robust against variations of the particlization prescription. We also report on the sensitivity of individual observables to the various model parameters. Finally, Bayesian model selection is used to quantitatively compare the agreement with measurements for different sets of model assumptions, including different particlization models and different choices for which parameters are allowed to vary between RHIC and LHC energies.},
doi = {10.1103/PhysRevC.103.054904},
journal = {Physical Review C},
number = 5,
volume = 103,
place = {United States},
year = {Fri May 14 00:00:00 EDT 2021},
month = {Fri May 14 00:00:00 EDT 2021}
}

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