Classifying hadronic objects in ATLAS with ML/AI algorithms

29 Jul 2024, 14:40
20m
Palazzo Ducale (Genova, Italy)

Palazzo Ducale

Genova, Italy

Talk Performance, Triggers and Detectors Performance, Triggers and Detectors

Speaker

Robert Les

Description

Hadronic object reconstruction 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 particle and boosted-object identification, MET reconstruction and other tasks will be presented.

Primary authors

Presentation materials