Event reconstruction algorithms for the ATLAS trigger
- Autores
- Anduaga, Xabier Sebastián; Dova, María Teresa; Monticelli, Fernando Gabriel; Tripiana, Martín F.; The ATLAS Collaboration
- Año de publicación
- 2008
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The ATLAS experiment under construction at CERN is due to begin operation at the end of 2007. The detector will record the results of proton-proton collisions at a centerof- mass energy of 14 TeV. The trigger is a three-tier system designed to identify in real-time potentially interesting events that are then saved for detailed offline analysis. The trigger system will select approximately 200 Hz of potentially interesting events out of the 40 MHz bunch-crossing rate (with 109 interactions per second at the nominal luminosity). Algorithms used in the trigger system to identify different event features of interest will be described, as well as their expected performance in terms of selection efficiency, background rejection and computation time per event. The talk will concentrate on recent improvements and on performance studies, using a very detailed simulation of the ATLAS detector and electronics chain that emulates the raw data as it will appear at the input to the trigger system.
Facultad de Ciencias Exactas - Materia
-
Ciencias Exactas
Física
ATLAS detector
ATLAS experiment
Algoritmos - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/80861
Ver los metadatos del registro completo
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Event reconstruction algorithms for the ATLAS triggerAnduaga, Xabier SebastiánDova, María TeresaMonticelli, Fernando GabrielTripiana, Martín F.The ATLAS CollaborationCiencias ExactasFísicaATLAS detectorATLAS experimentAlgoritmosThe ATLAS experiment under construction at CERN is due to begin operation at the end of 2007. The detector will record the results of proton-proton collisions at a centerof- mass energy of 14 TeV. The trigger is a three-tier system designed to identify in real-time potentially interesting events that are then saved for detailed offline analysis. The trigger system will select approximately 200 Hz of potentially interesting events out of the 40 MHz bunch-crossing rate (with 10<sup>9</sup> interactions per second at the nominal luminosity). Algorithms used in the trigger system to identify different event features of interest will be described, as well as their expected performance in terms of selection efficiency, background rejection and computation time per event. The talk will concentrate on recent improvements and on performance studies, using a very detailed simulation of the ATLAS detector and electronics chain that emulates the raw data as it will appear at the input to the trigger system.Facultad de Ciencias Exactas2008-07-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/80861enginfo:eu-repo/semantics/altIdentifier/issn/1742-6596info:eu-repo/semantics/altIdentifier/doi/10.1088/1742-6596/119/2/022022info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:14:57Zoai:sedici.unlp.edu.ar:10915/80861Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:14:57.677SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Event reconstruction algorithms for the ATLAS trigger |
title |
Event reconstruction algorithms for the ATLAS trigger |
spellingShingle |
Event reconstruction algorithms for the ATLAS trigger Anduaga, Xabier Sebastián Ciencias Exactas Física ATLAS detector ATLAS experiment Algoritmos |
title_short |
Event reconstruction algorithms for the ATLAS trigger |
title_full |
Event reconstruction algorithms for the ATLAS trigger |
title_fullStr |
Event reconstruction algorithms for the ATLAS trigger |
title_full_unstemmed |
Event reconstruction algorithms for the ATLAS trigger |
title_sort |
Event reconstruction algorithms for the ATLAS trigger |
dc.creator.none.fl_str_mv |
Anduaga, Xabier Sebastián Dova, María Teresa Monticelli, Fernando Gabriel Tripiana, Martín F. The ATLAS Collaboration |
author |
Anduaga, Xabier Sebastián |
author_facet |
Anduaga, Xabier Sebastián Dova, María Teresa Monticelli, Fernando Gabriel Tripiana, Martín F. The ATLAS Collaboration |
author_role |
author |
author2 |
Dova, María Teresa Monticelli, Fernando Gabriel Tripiana, Martín F. The ATLAS Collaboration |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Ciencias Exactas Física ATLAS detector ATLAS experiment Algoritmos |
topic |
Ciencias Exactas Física ATLAS detector ATLAS experiment Algoritmos |
dc.description.none.fl_txt_mv |
The ATLAS experiment under construction at CERN is due to begin operation at the end of 2007. The detector will record the results of proton-proton collisions at a centerof- mass energy of 14 TeV. The trigger is a three-tier system designed to identify in real-time potentially interesting events that are then saved for detailed offline analysis. The trigger system will select approximately 200 Hz of potentially interesting events out of the 40 MHz bunch-crossing rate (with 10<sup>9</sup> interactions per second at the nominal luminosity). Algorithms used in the trigger system to identify different event features of interest will be described, as well as their expected performance in terms of selection efficiency, background rejection and computation time per event. The talk will concentrate on recent improvements and on performance studies, using a very detailed simulation of the ATLAS detector and electronics chain that emulates the raw data as it will appear at the input to the trigger system. Facultad de Ciencias Exactas |
description |
The ATLAS experiment under construction at CERN is due to begin operation at the end of 2007. The detector will record the results of proton-proton collisions at a centerof- mass energy of 14 TeV. The trigger is a three-tier system designed to identify in real-time potentially interesting events that are then saved for detailed offline analysis. The trigger system will select approximately 200 Hz of potentially interesting events out of the 40 MHz bunch-crossing rate (with 10<sup>9</sup> interactions per second at the nominal luminosity). Algorithms used in the trigger system to identify different event features of interest will be described, as well as their expected performance in terms of selection efficiency, background rejection and computation time per event. The talk will concentrate on recent improvements and on performance studies, using a very detailed simulation of the ATLAS detector and electronics chain that emulates the raw data as it will appear at the input to the trigger system. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-07-31 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/80861 |
url |
http://sedici.unlp.edu.ar/handle/10915/80861 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/issn/1742-6596 info:eu-repo/semantics/altIdentifier/doi/10.1088/1742-6596/119/2/022022 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
eu_rights_str_mv |
openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf |
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