Bayesian calibration of a hybrid nuclear collision model using $p\text{\ensuremath{-}}\mathrm{Pb}$ and Pb-Pb data at energies available at the CERN Large Hadron Collider

Bayesian calibration of a hybrid nuclear collision model using $p − Pb$ and Pb-Pb data at energies available at the CERN Large Hadron Collider

J. Scott Moreland, Jonah E. Bernhard, and Steffen A. Bass

Phys. Rev. C 101, 024911 – Published 21 February 2020

Abstract

We posit a unified hydrodynamic and microscopic description of the quark-gluon plasma (QGP) produced in ultrarelativistic $p − Pb$ and Pb-Pb collisions at $\sqrt{s_{NN}} = 5.02 TeV$ and evaluate our assertion using Bayesian inference. Specifically, we model the dynamics of both collision systems using initial conditions with parametric nucleon substructure, a preequilibrium free streaming stage, event-by-event viscous hydrodynamics, and a microscopic hadronic afterburner. Free parameters of the model, which describe the initial state and QGP medium are then simultaneously calibrated to fit charged-particle yields, mean $p_{T}$ , and flow cumulants. We argue that the global agreement of the calibrated model with the experimental data strongly supports the existence of hydrodynamic flow in small collision systems at ultrarelativistic energies, and that the flow produced develops at length scales smaller than a single proton. Posterior estimates for the model's input parameters are obtained, and new insights into the temperature dependence of the QGP transport coefficients and event-by-event structure of the proton are discussed.