Machine learning techniques for background discrimination at the ATLAS experiment

The use of artificial neural network in discrimination between signal and background is investigated for two different processes in the ATLAS detector. For the WH signal against the WZ/Wγ∗ background the neural network shows improvement over the boosted decision trees previously used in Aad et al. [...

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Autor principal: Kuhlwein, Morten
Lenguaje:eng
Publicado: 2019
Materias:
Particle Physics - Experiment
Acceso en línea:http://cds.cern.ch/record/2687357
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author Kuhlwein, Morten
author_facet Kuhlwein, Morten
author_sort Kuhlwein, Morten
collection CERN
description The use of artificial neural network in discrimination between signal and background is investigated for two different processes in the ATLAS detector. For the WH signal against the WZ/Wγ∗ background the neural network shows improvement over the boosted decision trees previously used in Aad et al. [1]. Also for the pair produced stop quark process with two leptons in the final state is archieved good discrimination between the signal and the background of fake/non-prompt leptons.
id cern-2687357
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
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spelling cern-26873572019-09-30T06:29:59Zhttp://cds.cern.ch/record/2687357engKuhlwein, MortenMachine learning techniques for background discrimination at the ATLAS experimentParticle Physics - ExperimentThe use of artificial neural network in discrimination between signal and background is investigated for two different processes in the ATLAS detector. For the WH signal against the WZ/Wγ∗ background the neural network shows improvement over the boosted decision trees previously used in Aad et al. [1]. Also for the pair produced stop quark process with two leptons in the final state is archieved good discrimination between the signal and the background of fake/non-prompt leptons.CERN-STUDENTS-Note-2019-109oai:cds.cern.ch:26873572019-08-23
spellingShingle Particle Physics - Experiment
Kuhlwein, Morten
Machine learning techniques for background discrimination at the ATLAS experiment
title Machine learning techniques for background discrimination at the ATLAS experiment
title_full Machine learning techniques for background discrimination at the ATLAS experiment
title_fullStr Machine learning techniques for background discrimination at the ATLAS experiment
title_full_unstemmed Machine learning techniques for background discrimination at the ATLAS experiment
title_short Machine learning techniques for background discrimination at the ATLAS experiment
title_sort machine learning techniques for background discrimination at the atlas experiment
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2687357
work_keys_str_mv AT kuhlweinmorten machinelearningtechniquesforbackgrounddiscriminationattheatlasexperiment

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