Global constraint on the jet transport coefficient from single-hadron, dihadron, and γ -hadron spectra in high-energy heavy-ion collisions

Author:

Xie Man122ORCID,Ke Weiyao1345,Zhang Hanzhong122,Wang Xin-Nian134ORCID

Affiliation:

1. Central China Normal University

2. South China Normal University

3. University of California, Berkeley

4. Lawrence Berkeley National Laboratory

5. Los Alamos National Laboratory

Abstract

Modifications of large transverse momentum single-hadron, dihadron, and γ-hadron spectra in relativistic heavy-ion collisions are direct consequences of parton-medium interactions in the quark-gluon plasma (QGP). The interaction strength and underlying dynamics can be quantified by the jet transport coefficient q̂. We carry out the first global constraint on q̂ using a next-to-leading order pQCD parton model with higher-twist parton energy loss and combining world experimental data on single-hadron, dihadron, and γ-hadron suppression at both RHIC and LHC energies with a wide range of centralities. The global Bayesian analysis using the information field (IF) priors provides the most stringent constraint on q̂(T). We demonstrate in particular the progressive constraining power of the IF Bayesian analysis on the strong temperature dependence of q̂ using data from different centralities and colliding energies. We also discuss the advantage of using both inclusive and correlation observables with different geometric biases. As a verification, the obtained q̂(T) is shown to describe data on single-hadron anisotropy at high transverse momentum well. Predictions for future jet quenching measurements in oxygen-oxygen collisions are also provided. Published by the American Physical Society 2024

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Guangzhou Municipal Science and Technology Project

High Energy Physics

U.S. Department of Energy

National Science Foundation

Office of Science

Publisher

American Physical Society (APS)

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