Computer Vision and Application to the Classification of the Hadronic Decay Modes of the Tau Lepton with the ATLAS detector

In this report, we examine the use of deep learning neural networks for the classification of hadronic decays. Through a series of two-dimensional, convolutional neural network, we use Monte-Carlo simulated tau lepton decays to train a classification algorithm. We classify the decays into five mai...

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Detalles Bibliográficos
Autor principal: Saxton, Torrey Adam
Lenguaje:eng
Publicado: 2018
Materias:
Detectors and Experimental Techniques
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2634314
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author Saxton, Torrey Adam
author_facet Saxton, Torrey Adam
author_sort Saxton, Torrey Adam
collection CERN
description In this report, we examine the use of deep learning neural networks for the classification of hadronic decays. Through a series of two-dimensional, convolutional neural network, we use Monte-Carlo simulated tau lepton decays to train a classification algorithm. We classify the decays into five main modes: letting ``p'' stand for a charged pion, and ``n" stand for a neutral pion, the five modes are as follows: 1p0n, 1p1n, 1pXn, 3p0n, and 3pXn
id cern-2634314
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
record_format invenio
spelling cern-26343142019-09-30T06:29:59Zhttp://cds.cern.ch/record/2634314engSaxton, Torrey AdamComputer Vision and Application to the Classification of the Hadronic Decay Modes of the Tau Lepton with the ATLAS detectorDetectors and Experimental TechniquesComputing and ComputersIn this report, we examine the use of deep learning neural networks for the classification of hadronic decays. Through a series of two-dimensional, convolutional neural network, we use Monte-Carlo simulated tau lepton decays to train a classification algorithm. We classify the decays into five main modes: letting ``p'' stand for a charged pion, and ``n" stand for a neutral pion, the five modes are as follows: 1p0n, 1p1n, 1pXn, 3p0n, and 3pXnCERN-STUDENTS-Note-2018-025oai:cds.cern.ch:26343142018-08-15
spellingShingle Detectors and Experimental Techniques
Computing and Computers
Saxton, Torrey Adam
Computer Vision and Application to the Classification of the Hadronic Decay Modes of the Tau Lepton with the ATLAS detector
title Computer Vision and Application to the Classification of the Hadronic Decay Modes of the Tau Lepton with the ATLAS detector
title_full Computer Vision and Application to the Classification of the Hadronic Decay Modes of the Tau Lepton with the ATLAS detector
title_fullStr Computer Vision and Application to the Classification of the Hadronic Decay Modes of the Tau Lepton with the ATLAS detector
title_full_unstemmed Computer Vision and Application to the Classification of the Hadronic Decay Modes of the Tau Lepton with the ATLAS detector
title_short Computer Vision and Application to the Classification of the Hadronic Decay Modes of the Tau Lepton with the ATLAS detector
title_sort computer vision and application to the classification of the hadronic decay modes of the tau lepton with the atlas detector
topic Detectors and Experimental Techniques
Computing and Computers
url http://cds.cern.ch/record/2634314
work_keys_str_mv AT saxtontorreyadam computervisionandapplicationtotheclassificationofthehadronicdecaymodesofthetauleptonwiththeatlasdetector

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