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Genetic algorithm for SUSY trigger optimization in CMS detector at LHC
A method based on genetic algorithm approach is used to optimize Level 1 and Level 2 trigger selection for the generic Supersymmetry signature: multi-jet + missing E//T. 3 probing points in the framework of mSUGRA model at the upper reach of the Tevatron II are studied. The case of R-parity violatio...
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Lenguaje: | eng |
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2003
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Acceso en línea: | https://dx.doi.org/10.1016/S0168-9002(03)00546-1 http://cds.cern.ch/record/624964 |
_version_ | 1780900502969516032 |
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author | Abdullin, S |
author_facet | Abdullin, S |
author_sort | Abdullin, S |
collection | CERN |
description | A method based on genetic algorithm approach is used to optimize Level 1 and Level 2 trigger selection for the generic Supersymmetry signature: multi-jet + missing E//T. 3 probing points in the framework of mSUGRA model at the upper reach of the Tevatron II are studied. The case of R-parity violation scenario is considered, as the most challenging one, along with the "standard" case of R-parity conservation. Main Standard Model backgrounds are included in the study. For a given maximal rate at both trigger levels, the selection criteria are optimized to provide the maximal signal efficiency. |
id | cern-624964 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2003 |
record_format | invenio |
spelling | cern-6249642019-09-30T06:29:59Zdoi:10.1016/S0168-9002(03)00546-1http://cds.cern.ch/record/624964engAbdullin, SGenetic algorithm for SUSY trigger optimization in CMS detector at LHCDetectors and Experimental TechniquesA method based on genetic algorithm approach is used to optimize Level 1 and Level 2 trigger selection for the generic Supersymmetry signature: multi-jet + missing E//T. 3 probing points in the framework of mSUGRA model at the upper reach of the Tevatron II are studied. The case of R-parity violation scenario is considered, as the most challenging one, along with the "standard" case of R-parity conservation. Main Standard Model backgrounds are included in the study. For a given maximal rate at both trigger levels, the selection criteria are optimized to provide the maximal signal efficiency.oai:cds.cern.ch:6249642003 |
spellingShingle | Detectors and Experimental Techniques Abdullin, S Genetic algorithm for SUSY trigger optimization in CMS detector at LHC |
title | Genetic algorithm for SUSY trigger optimization in CMS detector at LHC |
title_full | Genetic algorithm for SUSY trigger optimization in CMS detector at LHC |
title_fullStr | Genetic algorithm for SUSY trigger optimization in CMS detector at LHC |
title_full_unstemmed | Genetic algorithm for SUSY trigger optimization in CMS detector at LHC |
title_short | Genetic algorithm for SUSY trigger optimization in CMS detector at LHC |
title_sort | genetic algorithm for susy trigger optimization in cms detector at lhc |
topic | Detectors and Experimental Techniques |
url | https://dx.doi.org/10.1016/S0168-9002(03)00546-1 http://cds.cern.ch/record/624964 |
work_keys_str_mv | AT abdullins geneticalgorithmforsusytriggeroptimizationincmsdetectoratlhc |