Improving ATLAS Hadronic Object Performance with ML/AI Algorithms
High Energy Physics - Experiment
2023-07-06 v1
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.
Cite
@article{arxiv.2307.01388,
title = {Improving ATLAS Hadronic Object Performance with ML/AI Algorithms},
author = {Benjamin Hodkinson},
journal= {arXiv preprint arXiv:2307.01388},
year = {2023}
}
Comments
Presented at DIS2023. 5 pages, 5 figures