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Fast emulation of track reconstruction in the CMS simulation
Simulated samples of various physics processes are a key ingredient within analyses to unlock the physics behind LHC collision data. Samples with more and more statistics are required to keep up with the increasing amounts of recorded data. During sample generation, significant computing time is spe...
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Lenguaje: | eng |
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2017
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Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/898/4/042034 http://cds.cern.ch/record/2253533 |
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author | Komm, Matthias |
author_facet | Komm, Matthias |
author_sort | Komm, Matthias |
collection | CERN |
description | Simulated samples of various physics processes are a key ingredient within analyses to unlock the physics behind LHC collision data. Samples with more and more statistics are required to keep up with the increasing amounts of recorded data. During sample generation, significant computing time is spent on the reconstruction of charged particle tracks from energy deposits which additionally scales with the pileup conditions. In CMS, the FastSimulation package is developed for providing a fast alternative to the standard simulation and reconstruction workflow. It employs various techniques to emulate track reconstruction effects in particle collision events. Several analysis groups in CMS are utilizing the package, in particular those requiring many samples to scan the parameter space of physics models (e.g. SUSY) or for the purpose of estimating systematic uncertainties. The strategies for and recent developments in this emulation are presented, including a novel, flexible implementation of tracking emulation while retaining a sufficient, tuneable accuracy. |
id | cern-2253533 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
record_format | invenio |
spelling | cern-22535332019-10-15T15:17:04Zdoi:10.1088/1742-6596/898/4/042034http://cds.cern.ch/record/2253533engKomm, MatthiasFast emulation of track reconstruction in the CMS simulationDetectors and Experimental TechniquesSimulated samples of various physics processes are a key ingredient within analyses to unlock the physics behind LHC collision data. Samples with more and more statistics are required to keep up with the increasing amounts of recorded data. During sample generation, significant computing time is spent on the reconstruction of charged particle tracks from energy deposits which additionally scales with the pileup conditions. In CMS, the FastSimulation package is developed for providing a fast alternative to the standard simulation and reconstruction workflow. It employs various techniques to emulate track reconstruction effects in particle collision events. Several analysis groups in CMS are utilizing the package, in particular those requiring many samples to scan the parameter space of physics models (e.g. SUSY) or for the purpose of estimating systematic uncertainties. The strategies for and recent developments in this emulation are presented, including a novel, flexible implementation of tracking emulation while retaining a sufficient, tuneable accuracy.CMS-CR-2017-018oai:cds.cern.ch:22535332017-01-31 |
spellingShingle | Detectors and Experimental Techniques Komm, Matthias Fast emulation of track reconstruction in the CMS simulation |
title | Fast emulation of track reconstruction in the CMS simulation |
title_full | Fast emulation of track reconstruction in the CMS simulation |
title_fullStr | Fast emulation of track reconstruction in the CMS simulation |
title_full_unstemmed | Fast emulation of track reconstruction in the CMS simulation |
title_short | Fast emulation of track reconstruction in the CMS simulation |
title_sort | fast emulation of track reconstruction in the cms simulation |
topic | Detectors and Experimental Techniques |
url | https://dx.doi.org/10.1088/1742-6596/898/4/042034 http://cds.cern.ch/record/2253533 |
work_keys_str_mv | AT kommmatthias fastemulationoftrackreconstructioninthecmssimulation |