English

Bayesian inference and jet quenching

High Energy Physics - Phenomenology 2025-07-31 v1 Nuclear Experiment Nuclear Theory

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.

Keywords

Cite

@article{arxiv.2507.22288,
  title  = {Bayesian inference and jet quenching},
  author = {Raymond Ehlers},
  journal= {arXiv preprint arXiv:2507.22288},
  year   = {2025}
}

Comments

Contribution to the proceedings of the 12th International Conference on Hard and Electromagnetic Probes of High-Energy Nuclear Collisions (Hard Probes 2024), Nagasaki, Japan. Submitted to EPJ Web of Conferences. 8 pages, 5 figures

R2 v1 2026-07-01T04:25:04.638Z