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Classifying hadronic objects in ATLAS with ML/AI algorithms

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, and other tasks will be presented.

Detalles Bibliográficos
Autor principal: Sardain, Jad Mathieu
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:http://cds.cern.ch/record/2867982