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Automatic event recognition for Higgs boson detection

Several groups of researches have tried, and are still trying, to improve Higgs boson detection. Machine Learning (ML) appears as one of the most promising ways, namely Boosted Decision Trees (BDT), Shallow Neural Networks (SNN), and Deep Neural Networks (DNN). The great advantage of such classifier...

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Autor principal: Maly, Jakub
Lenguaje:eng
Publicado: 2020
Materias:
Acceso en línea:http://cds.cern.ch/record/2722145
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author Maly, Jakub
author_facet Maly, Jakub
author_sort Maly, Jakub
collection CERN
description Several groups of researches have tried, and are still trying, to improve Higgs boson detection. Machine Learning (ML) appears as one of the most promising ways, namely Boosted Decision Trees (BDT), Shallow Neural Networks (SNN), and Deep Neural Networks (DNN). The great advantage of such classifiers is that they can be trained once and then reused several times without needing any significant computational power. Also, they can be free of knowing the physical background, or the meaning of the features. The main aim of this project is to test recently developed ML libraries on data provided by CERN.
id cern-2722145
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
record_format invenio
spelling cern-27221452020-08-20T15:47:13Zhttp://cds.cern.ch/record/2722145engMaly, JakubAutomatic event recognition for Higgs boson detectionParticle Physics - ExperimentSeveral groups of researches have tried, and are still trying, to improve Higgs boson detection. Machine Learning (ML) appears as one of the most promising ways, namely Boosted Decision Trees (BDT), Shallow Neural Networks (SNN), and Deep Neural Networks (DNN). The great advantage of such classifiers is that they can be trained once and then reused several times without needing any significant computational power. Also, they can be free of knowing the physical background, or the meaning of the features. The main aim of this project is to test recently developed ML libraries on data provided by CERN.CERN-THESIS-2020-054oai:cds.cern.ch:27221452020-06-28T19:59:45Z
spellingShingle Particle Physics - Experiment
Maly, Jakub
Automatic event recognition for Higgs boson detection
title Automatic event recognition for Higgs boson detection
title_full Automatic event recognition for Higgs boson detection
title_fullStr Automatic event recognition for Higgs boson detection
title_full_unstemmed Automatic event recognition for Higgs boson detection
title_short Automatic event recognition for Higgs boson detection
title_sort automatic event recognition for higgs boson detection
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2722145
work_keys_str_mv AT malyjakub automaticeventrecognitionforhiggsbosondetection