| 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 | 03003 | |
| Number of page(s) | 8 | |
| Section | Contributed Talk: High Momentum Hadrons and Correlations | |
| DOI | https://doi.org/10.1051/epjconf/202533903003 | |
| Published online | 05 November 2025 | |
https://doi.org/10.1051/epjconf/202533903003
Probing Hadronization Through Jet Substructure Analysis
1 LIP, Av. Prof. Gama Pinto, 2, P-1649-003 Lisboa, Portugal
2 Instituto Superior Técnico (IST), Universidade de Lisboa, Av. Rovisco Pais 1, P-1049-001 Lisboa, Portugal
3 Department of Physics and Astronomy, Vanderbilt University, Nashville, TN
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Published online: 5 November 2025
Abstract
Understanding the hadronization mechanism in Quantum Chromodynamics (QCD) remains a significant challenge due to its non-perturbative nature. Hadronization is typically described via phenomenological models in Monte Carlo event generators (such as PYTHIA and HERWIG), whose parameters need to be tuned to data. This work leverages jet substructure to probe underlying features of these frameworks, offering new insights into the hadronization process. While jets were originally proposed to circumvent non-perturbative effects, we show that their substructure can be a powerful tool to investigate these phenomena. Specifically, we demonstrate that the charge correlation ratio, which is sensitive to hadronization effects, can be enhanced by selections on jet substructure, particularly by analyzing the relative placement of splittings that resolve the leading charged particles within the clustering tree. Our findings reveal remarkable differences between widely used hadronization models, contributing to a better understanding of hadronization and opening new avenues for exploring non-perturbative QCD.
© 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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