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Apr 12 – 14, 2023
Minneapolis, Minnesota
US/Central timezone

Studying the Properties of the Quark-Gluon Plasma With Small and Large Collision Systems in a Bayesian Analysis Framework

Apr 12, 2023, 2:40 PM
20m
Orchestra D

Orchestra D

Speaker

Andi Mankolli (Vanderbilt University)

Description

We model the evolution of the Quark-Gluon Plasma (QGP) with a multi-stage model that includes (i) geometric initial state energy deposition, (ii) viscous relativistic hydrodynamics, and (iii) hadronic transport. We perform rigorous comparison with experimental data using Bayesian inference. We go beyond previous JETSCAPE Bayesian analyses of the soft sector by studying the three-dimensional structure of large and small nuclear collisions, combining measurements at both RHIC and LHC energies. We discuss closure tests and the related emulation uncertainty. The sensitivity of particular observables to the model parameters is explored and the constraining power of small system observables on the properties of the QGP is discussed. The optimal parameters attained are used to compare calculations with a range of small and large system data.

Primary author

Andi Mankolli (Vanderbilt University)

Presentation materials