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Top Tagging by Deep Learning Algorithm

In this report I will show the application of a deep learning algorithm on a Monte Carlo simulation sample to test its performance in tagging hadronic decays of boosted top quarks and compare what we get with the results of the application of some other algorithms.

Detalles Bibliográficos
Autor principal: Akil, Ali
Lenguaje:eng
Publicado: 2015
Materias:
Acceso en línea:http://cds.cern.ch/record/2054120
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author Akil, Ali
author_facet Akil, Ali
author_sort Akil, Ali
collection CERN
description In this report I will show the application of a deep learning algorithm on a Monte Carlo simulation sample to test its performance in tagging hadronic decays of boosted top quarks and compare what we get with the results of the application of some other algorithms.
id cern-2054120
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
record_format invenio
spelling cern-20541202019-09-30T06:29:59Zhttp://cds.cern.ch/record/2054120engAkil, AliTop Tagging by Deep Learning AlgorithmPhysics in GeneralIn this report I will show the application of a deep learning algorithm on a Monte Carlo simulation sample to test its performance in tagging hadronic decays of boosted top quarks and compare what we get with the results of the application of some other algorithms.CERN-STUDENTS-Note-2015-214oai:cds.cern.ch:20541202015-09-21
spellingShingle Physics in General
Akil, Ali
Top Tagging by Deep Learning Algorithm
title Top Tagging by Deep Learning Algorithm
title_full Top Tagging by Deep Learning Algorithm
title_fullStr Top Tagging by Deep Learning Algorithm
title_full_unstemmed Top Tagging by Deep Learning Algorithm
title_short Top Tagging by Deep Learning Algorithm
title_sort top tagging by deep learning algorithm
topic Physics in General
url http://cds.cern.ch/record/2054120
work_keys_str_mv AT akilali toptaggingbydeeplearningalgorithm