Machine Learning methods for diboson searches in semi-leptonic final states with the ATLAS experiment at LHC

Detalles Bibliográficos
Autor principal: Giannini, Antonio
Lenguaje:eng
Publicado: 2020
Materias:
Particle Physics - Experiment
Acceso en línea:http://cds.cern.ch/record/2743418
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author Giannini, Antonio
author_facet Giannini, Antonio
author_sort Giannini, Antonio
collection CERN
id cern-2743418
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
record_format invenio
spelling cern-27434182021-06-22T14:40:55Zhttp://cds.cern.ch/record/2743418engGiannini, AntonioMachine Learning methods for diboson searches in semi-leptonic final states with the ATLAS experiment at LHCParticle Physics - ExperimentCERN-THESIS-2020-162oai:cds.cern.ch:27434182020-11-03T14:38:53Z
spellingShingle Particle Physics - Experiment
Giannini, Antonio
Machine Learning methods for diboson searches in semi-leptonic final states with the ATLAS experiment at LHC
title Machine Learning methods for diboson searches in semi-leptonic final states with the ATLAS experiment at LHC
title_full Machine Learning methods for diboson searches in semi-leptonic final states with the ATLAS experiment at LHC
title_fullStr Machine Learning methods for diboson searches in semi-leptonic final states with the ATLAS experiment at LHC
title_full_unstemmed Machine Learning methods for diboson searches in semi-leptonic final states with the ATLAS experiment at LHC
title_short Machine Learning methods for diboson searches in semi-leptonic final states with the ATLAS experiment at LHC
title_sort machine learning methods for diboson searches in semi-leptonic final states with the atlas experiment at lhc
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2743418
work_keys_str_mv AT gianniniantonio machinelearningmethodsfordibosonsearchesinsemileptonicfinalstateswiththeatlasexperimentatlhc

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