Top Quark Tagging using Convolutional Neural Networks

The scope of this project concentrates mainly on tagging the hadronic top quark signal versus W and QCD jets taken both as background. Jets are represented as 2d projections either in η−φ palne or lund plane. The performance obtained was compared with the two approaches using...

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Detalles Bibliográficos
Autor principal: Beshr, Aya
Lenguaje:eng
Publicado: 2019
Materias:
Physics in General
Acceso en línea:http://cds.cern.ch/record/2687876
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author Beshr, Aya
author_facet Beshr, Aya
author_sort Beshr, Aya
collection CERN
description The scope of this project concentrates mainly on tagging the hadronic top quark signal versus W and QCD jets taken both as background. Jets are represented as 2d projections either in η−φ palne or lund plane. The performance obtained was compared with the two approaches using one of the Machine Learning algorithms called Convolutional Neural Network (CNN).
id cern-2687876
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
record_format invenio
spelling cern-26878762019-09-30T06:29:59Zhttp://cds.cern.ch/record/2687876engBeshr, AyaTop Quark Tagging using Convolutional Neural NetworksPhysics in GeneralThe scope of this project concentrates mainly on tagging the hadronic top quark signal versus W and QCD jets taken both as background. Jets are represented as 2d projections either in η−φ palne or lund plane. The performance obtained was compared with the two approaches using one of the Machine Learning algorithms called Convolutional Neural Network (CNN).CERN-STUDENTS-Note-2019-143oai:cds.cern.ch:26878762019-08-29
spellingShingle Physics in General
Beshr, Aya
Top Quark Tagging using Convolutional Neural Networks
title Top Quark Tagging using Convolutional Neural Networks
title_full Top Quark Tagging using Convolutional Neural Networks
title_fullStr Top Quark Tagging using Convolutional Neural Networks
title_full_unstemmed Top Quark Tagging using Convolutional Neural Networks
title_short Top Quark Tagging using Convolutional Neural Networks
title_sort top quark tagging using convolutional neural networks
topic Physics in General
url http://cds.cern.ch/record/2687876
work_keys_str_mv AT beshraya topquarktaggingusingconvolutionalneuralnetworks

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