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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.
Autor principal: | |
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Lenguaje: | eng |
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2015
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Acceso en línea: | http://cds.cern.ch/record/2054120 |
_version_ | 1780948238408351744 |
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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 |