| Issue |
EPJ Web Conf.
Volume 339, 2025
12th International Conference on Hard and Electromagnetic Probes of High-Energy Nuclear Collisions (Hard Probes 2024)
|
|
|---|---|---|
| Article Number | 01010 | |
| Number of page(s) | 8 | |
| Section | Plenary Talk | |
| DOI | https://doi.org/10.1051/epjconf/202533901010 | |
| Published online | 05 November 2025 | |
https://doi.org/10.1051/epjconf/202533901010
Bayesian inference and jet quenching
1 Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
2 Department of Physics, University of California, Berkeley, CA 94720, USA
* e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 5 November 2025
Abstract
These proceedings review the application of Bayesian inference to high momentum transfer probes of the quark–gluon plasma (QGP). Bayesian inference techniques are introduced, highlighting critical components to consider when comparing analyses. Recent calibrations using hadron observables are described, illustrating the importance of the choice of parametrization. Additional recent analyses that characterize the impact of the inclusion of jet observables, as well as soft-hard correlations, are reviewed. Finally, lessons learned from these analyses and important questions for the future are highlighted.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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