17–21 Jul 2023
University of Southampton Highfield Campus
Europe/London timezone

Improving ATLAS Hadronic Object Performance with ML/AI Algorithms

17 Jul 2023, 17:00
20m
B100/1001

B100/1001

Parallel talks SUSY: Phenomenology and Experiment SUSY: Phenomenology and Experiment

Speaker

Tobias Fitschen

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.

Primary author

Presentation materials