24–28 Mar 2025
Europe/Zurich timezone

Classifying hadronic objects in ATLAS with ML/AI algorithms

25 Mar 2025, 11:22
20m
Baltic

Baltic

QCD with Heavy Flavors and Hadronic Final States WG4: QCD with Heavy Flavors and Hadronic Final States

Speaker

Vilius Čepaitis (Université de Genève (CH))

Description

Hadronic object reconstruction & classification is one of the most promising settings for cutting-edge machine learning and artificial intelligence algorithms at the LHC. In this contribution, highlights of ML/AI applications by ATLAS to QCD and boosted-object identification, MET reconstruction and other tasks will be presented.

Author

Vilius Čepaitis (Université de Genève (CH))

Presentation materials