CERN Accelerating science

ATLAS Slides
Report number	ATL-PHYS-SLIDE-2025-416
Title	Classifying hadronic objects in ATLAS with ML/AI algorithms
Author(s)	Toffolin, Leonardo (Universita e INFN Trieste (IT))
Corporate author(s)	The ATLAS collaboration
Collaboration	ATLAS Collaboration
Submitted to	The 32nd International Symposium on Lepton Photon Interactions at High Energies (Lepton Photon 2025), Madison, Wisconsin, Us, 25 - 29 Aug 2025
Submitted by	leonardo.toffolin@cern.ch on 31 Aug 2025
Subject category	Particle Physics - Experiment
Accelerator/Facility, Experiment	CERN LHC ; ATLAS
Free keywords	JETETMISS ; BTAGGING ; Object identification ; Machine Learning ; Transformers ; JETETMISS
Abstract	Hadronic object reconstruction and 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.