Jan 9 – 13, 2023
Universidad Técnica Federico Santa María
Chile/Continental timezone

Improving ATLAS Hadronic Object Performance with ML/Al Algorithms

Jan 12, 2023, 3:30 PM
20m
Room C225, Building C (Universidad Tecnica Federico Santa Maria)

Room C225, Building C

Universidad Tecnica Federico Santa Maria

parallel Particle Detectors and Instrumentations Parallel Session D

Speaker

Reina Coromoto Camacho Toro (LPNHE-Paris CNRS/IN2P3)

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, selected highlights of ML/AI applications by ATLAS to particle and boosted-object identification, MET reconstruction and other tasks will be presented.

Presentation materials