2020
DOI: 10.1103/physrevc.101.024911
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Bayesian calibration of a hybrid nuclear collision model using pPb and Pb-Pb data at energies available at the CERN Large Hadron Collider

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 √ sNN = 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 pre-equilibrium free streaming stage, event-by-event viscous hydrodynamics, and a microscopic hadronic afterburner. Free parameters of the model which describe the ini… Show more

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Cited by 108 publications
(117 citation statements)
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“…whereT (x, y) is the modified participant thickness function, s 0 is a normalization factor, and p is a tunable parameter which makes TRENTo model effectively interpolates among different entropy deposition schemes, such as KLN, EKRT, WN, etc. [83,95,96]. For proton-proton collisions, TRENTo is modified with the sub-nucleonic structure [83]…”
Section: Trento Initial Conditionmentioning
confidence: 99%
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“…whereT (x, y) is the modified participant thickness function, s 0 is a normalization factor, and p is a tunable parameter which makes TRENTo model effectively interpolates among different entropy deposition schemes, such as KLN, EKRT, WN, etc. [83,95,96]. For proton-proton collisions, TRENTo is modified with the sub-nucleonic structure [83]…”
Section: Trento Initial Conditionmentioning
confidence: 99%
“…Following Refs. [83,97,98], we assume the particle density of non-interacting massless particles at the very beginning is proportional to entropy density described by Eq. (3), and then free streaming these massless partons till the proper time τ 0 to obtain the boost-invariant energymomentum tensor T μν (x, y, τ 0 ).…”
Section: Trento Initial Condition With Free Streamingmentioning
confidence: 99%
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