Improving ATLAS hadronic object performance with ML/AI Algorithms

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 oth...

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Detalles Bibliográficos
Autor principal: Chen, Xiang
Lenguaje:eng
Publicado: 2023
Materias:
Particle Physics - Experiment
Acceso en línea:http://cds.cern.ch/record/2860218
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author Chen, Xiang
author_facet Chen, Xiang
author_sort Chen, Xiang
collection CERN
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.
id cern-2860218
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2023
record_format invenio
spelling cern-28602182023-05-30T21:36:22Zhttp://cds.cern.ch/record/2860218engChen, XiangImproving ATLAS hadronic object performance with ML/AI AlgorithmsParticle Physics - ExperimentHadronic 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.ATL-PHYS-SLIDE-2023-200oai:cds.cern.ch:28602182023-05-30
spellingShingle Particle Physics - Experiment
Chen, Xiang
Improving ATLAS hadronic object performance with ML/AI Algorithms
title Improving ATLAS hadronic object performance with ML/AI Algorithms
title_full Improving ATLAS hadronic object performance with ML/AI Algorithms
title_fullStr Improving ATLAS hadronic object performance with ML/AI Algorithms
title_full_unstemmed Improving ATLAS hadronic object performance with ML/AI Algorithms
title_short Improving ATLAS hadronic object performance with ML/AI Algorithms
title_sort improving atlas hadronic object performance with ml/ai algorithms
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2860218
work_keys_str_mv AT chenxiang improvingatlashadronicobjectperformancewithmlaialgorithms

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