Determining the jet transport coefficient <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mover accent="true"><mml:mi>q</mml:mi><mml:mo>?</mml:mo></mml:mover></mml:math> from inclusive hadron suppression measurements using Bayesian parameter estimation

We report a new determination of q?, the jet transport coefficient quark-gluon plasma. use JETSCAPE framework, which incorporates novel multistage theoretical approach to in-medium evolution and Bayesian inference for parameter extraction. The calculations, based on Matter Lbt quenching models, are compared experimental measurements inclusive hadron suppression in Au+Au collisions at BNL Relativistic Heavy Ion Collider (RHIC) Pb+Pb CERN Large Hadron (LHC). correlation systematic uncertainties is accounted functional dependence q? energy or virtuality medium temperature perturbative picture scattering, with components reflecting different regimes applicability Lbt. In approach, switch between governed by scale Q0. Comparison posterior model predictions RHIC LHC data shows reasonable agreement, moderate tension limited regions phase space. distribution q?/T3 extracted from distributions exhibits weak momentum T, 90% credible region (CR) depending specific choice configuration. Matter+Lbt, switching Q0, has CR 240 GeV/c. value determined here first time, range 2.0–2.7 GeV.9 MoreReceived 23 February 2021Accepted 21 July 2021DOI:https://doi.org/10.1103/PhysRevC.104.024905©2021 American Physical SocietyPhysics Subject Headings (PhySH)Research AreasHydrodynamic modelsJets & heavy flavor physicsParticle resonance productionRelativistic heavy-ion collisionsTechniquesBayesian methodsNuclear Physics