• Corpus ID: 235593401

# Determining the jet transport coefficient $\hat{q}$ of the quark-gluon plasma using Bayesian parameter estimation

@inproceedings{Mulligan2021DeterminingTJ,
title={Determining the jet transport coefficient \$\hat\{q\}\$ of the quark-gluon plasma using Bayesian parameter estimation},
author={James Mulligan and Aaron Angerami and Renu Arora and Steffen A. Bass and Shanshan Cao and Y. Chen and J. Coleman and Leticia Cunqueiro and Tianyu Dai and Lipei Du and R. J. Ehlers and Hannah Elfner and Derek Everett and Wenkai Fan and Rainer J. Fries and Charles Gale and F. Garza and Y. He and Matthew E. Heffernan and Ulrich Heinz and Barbara Jacak and P. M. Jacobs and Sangyong Jeon and Wenqi Ke and B. Kim and Michael Kordell and A. A. Kumar and Dilhara Liyanage and M. Luzum and Abhijit Majumder and Suet Ying D. Mak and Mike McNelis and C. Nattrass and Dmytro Oliinychenko and C. Park and Jean-François Paquet and Joern Putschke and G Roland and Bjoern Schenke and L. Schwiebert and C. P. Shen and A. Silva and Chathuranga Sirimanna and Ron A. Soltz and Yasuki Tachibana and Gojko Vujanovic and X. -N. Wang and Robert L. Wolpert and Y. Xu},
year={2021}
}
• Published 21 June 2021
• Physics
We present a new determination of q̂, the jet transport coefficient of the quark-gluon plasma. Using the JETSCAPE framework, we use Bayesian parameter estimation to constrain the dependence of q̂ on the jet energy, virtuality, and medium temperature from experimental measurements of inclusive hadron suppression in Au-Au collisions at RHIC and Pb-Pb collisions at the LHC. These results are based on a multi-stage theoretical approach to in-medium jet evolution with the MATTER and LBT jet…

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