Classifying hadronic objects in ATLAS with ML/AI algorithms

Jul 28, 2025, 2:40 PM
20m
Barus and Holley 168 (Brown University)

Barus and Holley 168

Brown University

184 Hope St, Providence, RI 02912
Oral Presentation Plenary Talks

Speaker

Alex Sopio (University of Edinburgh)

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.

Presentation materials