Bayesian inference and jet quenching

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.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533901010
Primary Topic
High-Energy Particle Collisions Research
Type
article
Field-Weighted Citation Impact
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article

Bayesian inference and jet quenching

R. J. Ehlers
EPJ Web of Conferences
High-Energy Particle Collisions Research
article

Bayesian inference and jet quenching

R. J. Ehlers
article en

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.

EPJ Web of ConferencesVol. 339
Lawrence Berkeley National Laboratory (US)
Openalex Percentile: Top 85%
High-Energy Particle Collisions Research
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