Revisiting Bayesian constraints on the transport coefficients of QCD

Abstract

Multistage models based on relativistic viscous hydrodynamics have proven successful in describing hadron measurements from relativistic nuclear collisions. These measurements are sensitive to the shear and the bulk viscosities of QCD and provide a unique opportunity to constrain these transport coefficients. Bayesian analyses can be used to obtain systematic constraints on the viscosities of QCD, through methodical model-to-data comparisons. In this manuscript, we discuss recent developments in Bayesian analyses of heavy ion collision data. We highlight the essential role of closure tests in validating a Bayesian analysis before comparison with measurements. We discuss the role of the emulator that is used as proxy for the multistage theoretical model. We use an ongoing Bayesian analysis of soft hadron measurements by the JETSCAPE Collaboration as context for the discussion.

arXiv comment4 pages, 1 figure, contribution to the Quark Matter 2019 proceedings

References in corpus (5)

• Hydrodynamic Modeling of Heavy-Ion Collisions
• Determining Fundamental Properties of Matter Created in Ultrarelativistic Heavy-Ion Collisions
• Towards a Deeper Understanding of How Experiments Constrain the Underlying Physics of Heavy-Ion Collisions
• Bayesian parameter estimation for relativistic heavy-ion collisions
• The JETSCAPE framework

Cited by in corpus (21)

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• Progress and Challenges in Small Systems
• Probing Early-Time Dynamics and Quark-Gluon Plasma Transport Properties with Photons and Hadrons
• Deep-learning quasi-particle masses from QCD equation of state
• Some Aspects of the Theory of Heavy Ion Collisions
• Inclusive and effective bulk viscosities in the hadron gas
• Similarity between the kinematic viscosity of quark-gluon plasma and liquids at the viscosity minimum
• Multi-scale evolution of charmed particles in a nuclear medium
• Effective shear and bulk viscosities for anisotropic flow
• Hadronic transport coefficients from the linear sigma model at finite temperature
• Hanbury Brown--Twiss Interferometry and Collectivity in Small Systems
• "QM19 summary talk": Outlook and future of heavy-ion collisions
• Computational budget optimization for Bayesian parameter estimation in heavy ion collisions
• System size and shape dependences of collective flow fluctuations in relativistic nuclear collisions
• Report from the A.I. For Nuclear Physics Workshop
• A Comprehensive Monte Carlo Framework for Jet-Quenching
• Mode-by-mode evolution of Pb-Pb collisions at 5.02 TeV in a hybrid model