Improving ATLAS Hadronic Object Performance with ML/AI Algorithms

Benjamin Hodkinson

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arXiv · 2307.01388

Improving ATLAS Hadronic Object Performance with ML/AI Algorithms

Benjamin Hodkinson

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Abstract

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 are presented.

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Benjamin Hodkinson. 2023-07-03. Improving ATLAS Hadronic Object Performance with ML/AI Algorithms. https://arxiv.org/abs/2307.01388

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