We study the application of selected ML techniques to the recognition of a substructure of hadronic final states (jets) and their tagging based on their possible origin in current HEP experiments using simulated events and a parameterized detector simulation. The results are then compared with the cut-based method.
@article{arxiv.2501.07589,
title = {Machine Learning Based Top Quark and W Jet Tagging to Hadronic Four-Top Final States Induced by SM as well as BSM Processes},
author = {Jiří Kvita and Petr Baroň and Monika Machalová and Radek Přívara and Rostislav Vodák and Jan Tomeček},
journal= {arXiv preprint arXiv:2501.07589},
year = {2025}
}
Comments
Poster at the 17th International Workshop on Top Quark Physics (Top2024), 22-27 September 2024