3 papers
astro-ph.HE2026
Extensive Air Showers Parameters Estimation Using Machine Learning Techniques with Simulations of the FAST Telescope
Jiř\'ı Kvita, Monika Machalová, Radek Př\'ıvara +2
We present the capabilities of the Fluorescence detector Array of Single-pixel Telescopes (FAST) observatory in the single telescope configuration as an important step towards the…
hep-ph2025
Machine Learning Based Top Quark and W Jet Tagging to Hadronic Four-Top Final States Induced by SM as well as BSM Processes
Jiří Kvita, Petr Baroň, Monika Machalová +3
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-ph2024
Application of Machine Learning Based Top Quark and W Jet Tagging to Hadronic Four-Top Final States Induced by SM and BSM Processes
Jiří Kvita, Petr Baroň, Monika Machalová +3
We apply both cut-based and machine learning techniques using the same inputs to the challenge of hadronic jet substructure recognition, utilizing classical subjettiness variables…