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Deep Learning Methods for Particle Reconstruction in the HGCal

The High Granularity end-cap Calorimeter is part of the phase-2 CMS upgrade (see Figure 1)[1]. It’s goal it to provide measurements of high resolution in time, space and energy. Given such measurements, the purpose of this work is to discuss the use of Deep Neural Networks for the task of particle a...

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Autor principal: Arzi, Ofir
Lenguaje:eng
Publicado: 2017
Materias:
Acceso en línea:http://cds.cern.ch/record/2296762
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author Arzi, Ofir
author_facet Arzi, Ofir
author_sort Arzi, Ofir
collection CERN
description The High Granularity end-cap Calorimeter is part of the phase-2 CMS upgrade (see Figure 1)[1]. It’s goal it to provide measurements of high resolution in time, space and energy. Given such measurements, the purpose of this work is to discuss the use of Deep Neural Networks for the task of particle and trajectory reconstruction, identification and energy estimation, during my participation in the CERN Summer Students Program.
id cern-2296762
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
record_format invenio
spelling cern-22967622019-09-30T06:29:59Zhttp://cds.cern.ch/record/2296762engArzi, OfirDeep Learning Methods for Particle Reconstruction in the HGCalPhysics in GeneralThe High Granularity end-cap Calorimeter is part of the phase-2 CMS upgrade (see Figure 1)[1]. It’s goal it to provide measurements of high resolution in time, space and energy. Given such measurements, the purpose of this work is to discuss the use of Deep Neural Networks for the task of particle and trajectory reconstruction, identification and energy estimation, during my participation in the CERN Summer Students Program.CERN-STUDENTS-Note-2017-255oai:cds.cern.ch:22967622017-12-08
spellingShingle Physics in General
Arzi, Ofir
Deep Learning Methods for Particle Reconstruction in the HGCal
title Deep Learning Methods for Particle Reconstruction in the HGCal
title_full Deep Learning Methods for Particle Reconstruction in the HGCal
title_fullStr Deep Learning Methods for Particle Reconstruction in the HGCal
title_full_unstemmed Deep Learning Methods for Particle Reconstruction in the HGCal
title_short Deep Learning Methods for Particle Reconstruction in the HGCal
title_sort deep learning methods for particle reconstruction in the hgcal
topic Physics in General
url http://cds.cern.ch/record/2296762
work_keys_str_mv AT arziofir deeplearningmethodsforparticlereconstructioninthehgcal