"Fast Simulation with Deep Learning Techniques on Geant4"

"In High Energy Physics (HEP) experiments, simulation plays an impor-tant role on the data analysis, theory models evaluation and detector designchoices. The increase of energy and luminosity of the particle accelerators leadto correspondingly larger amount of simulated data that is required. T...

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Autor principal: Kritharakis, Emmanouil
Lenguaje:eng
Publicado: 2019
Materias:
Other Subjects
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2688002
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author Kritharakis, Emmanouil
author_facet Kritharakis, Emmanouil
author_sort Kritharakis, Emmanouil
collection CERN
description "In High Energy Physics (HEP) experiments, simulation plays an impor-tant role on the data analysis, theory models evaluation and detector designchoices. The increase of energy and luminosity of the particle accelerators leadto correspondingly larger amount of simulated data that is required. There-fore,the available resources will soon be exceeded for the computation needsof the current detailed simulation. The fast simulation (FastSim), where thedetailed tracking of particles is replaced by some parameterised algorithmswill be, therefore, the only possible option. Deep Learning techniques is oneapproach for implementing FastSim tools."
id cern-2688002
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
record_format invenio
spelling cern-26880022019-09-30T06:29:59Zhttp://cds.cern.ch/record/2688002engKritharakis, Emmanouil"Fast Simulation with Deep Learning Techniques on Geant4"Other SubjectsComputing and Computers"In High Energy Physics (HEP) experiments, simulation plays an impor-tant role on the data analysis, theory models evaluation and detector designchoices. The increase of energy and luminosity of the particle accelerators leadto correspondingly larger amount of simulated data that is required. There-fore,the available resources will soon be exceeded for the computation needsof the current detailed simulation. The fast simulation (FastSim), where thedetailed tracking of particles is replaced by some parameterised algorithmswill be, therefore, the only possible option. Deep Learning techniques is oneapproach for implementing FastSim tools."CERN-STUDENTS-Note-2019-157oai:cds.cern.ch:26880022019-08-30
spellingShingle Other Subjects
Computing and Computers
Kritharakis, Emmanouil
"Fast Simulation with Deep Learning Techniques on Geant4"
title "Fast Simulation with Deep Learning Techniques on Geant4"
title_full "Fast Simulation with Deep Learning Techniques on Geant4"
title_fullStr "Fast Simulation with Deep Learning Techniques on Geant4"
title_full_unstemmed "Fast Simulation with Deep Learning Techniques on Geant4"
title_short "Fast Simulation with Deep Learning Techniques on Geant4"
title_sort "fast simulation with deep learning techniques on geant4"
topic Other Subjects
Computing and Computers
url http://cds.cern.ch/record/2688002
work_keys_str_mv AT kritharakisemmanouil fastsimulationwithdeeplearningtechniquesongeant4

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