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Improving ATLAS Hadronic Object Performance with ML/AI Algorithms

29 Mar 2023, 11:10
20m
106 (MSU Kellogg center)

106

MSU Kellogg center

Parallel talk WG6: Future Experiments WG6

Speaker

Benjamin Haslum Hodkinson (University of Cambridge (GB))

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.

Submitted on behalf of a Collaboration? Yes
Participate in poster competition? No

Primary author

Benjamin Haslum Hodkinson (University of Cambridge (GB))

Presentation materials