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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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Lenguaje: | eng |
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2017
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Acceso en línea: | http://cds.cern.ch/record/2296762 |
_version_ | 1780956824876351488 |
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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 |