Cargando…

Trigger and Reconstruction for a heavy long lived charged particles with the ATLAS detector

Long lived charged particles are predicted by many models of physics beyond the standard model (SM). The common signature of such models is a heavy long-lived charged particle with velocity smaller than the speed of light, beta<1. This unique signature makes the search for it model independent. T...

Descripción completa

Detalles Bibliográficos
Autores principales: Tarem, S, Bressler, S, Nomoto, H, Dimattia, A
Lenguaje:eng
Publicado: 2007
Materias:
Acceso en línea:https://dx.doi.org/10.1140/epjc/s10052-009-1040-0
http://cds.cern.ch/record/1072765
_version_ 1780913416259502080
author Tarem, S
Bressler, S
Nomoto, H
Dimattia, A
author_facet Tarem, S
Bressler, S
Nomoto, H
Dimattia, A
author_sort Tarem, S
collection CERN
description Long lived charged particles are predicted by many models of physics beyond the standard model (SM). The common signature of such models is a heavy long-lived charged particle with velocity smaller than the speed of light, beta<1. This unique signature makes the search for it model independent. This paper presents methods developed as part of the ATLAS trigger and reconstruction chain for identifying slow particles and measuring their mass. The efficacy of these methods is demonstrated using two models that are different in every aspect except for the existence of long lived charged particles; A GMSB model that includes sleptons with a mass of 100 GeV, and R-Hadrons with a mass of 300 GeV produced in a split SUSY model.
id cern-1072765
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2007
record_format invenio
spelling cern-10727652019-09-30T06:29:59Zdoi:10.1140/epjc/s10052-009-1040-0http://cds.cern.ch/record/1072765engTarem, SBressler, SNomoto, HDimattia, ATrigger and Reconstruction for a heavy long lived charged particles with the ATLAS detectorDetectors and Experimental TechniquesLong lived charged particles are predicted by many models of physics beyond the standard model (SM). The common signature of such models is a heavy long-lived charged particle with velocity smaller than the speed of light, beta<1. This unique signature makes the search for it model independent. This paper presents methods developed as part of the ATLAS trigger and reconstruction chain for identifying slow particles and measuring their mass. The efficacy of these methods is demonstrated using two models that are different in every aspect except for the existence of long lived charged particles; A GMSB model that includes sleptons with a mass of 100 GeV, and R-Hadrons with a mass of 300 GeV produced in a split SUSY model.SN-ATLAS-2008-071ATL-COM-PHYS-2007-096oai:cds.cern.ch:10727652007-12-03
spellingShingle Detectors and Experimental Techniques
Tarem, S
Bressler, S
Nomoto, H
Dimattia, A
Trigger and Reconstruction for a heavy long lived charged particles with the ATLAS detector
title Trigger and Reconstruction for a heavy long lived charged particles with the ATLAS detector
title_full Trigger and Reconstruction for a heavy long lived charged particles with the ATLAS detector
title_fullStr Trigger and Reconstruction for a heavy long lived charged particles with the ATLAS detector
title_full_unstemmed Trigger and Reconstruction for a heavy long lived charged particles with the ATLAS detector
title_short Trigger and Reconstruction for a heavy long lived charged particles with the ATLAS detector
title_sort trigger and reconstruction for a heavy long lived charged particles with the atlas detector
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1140/epjc/s10052-009-1040-0
http://cds.cern.ch/record/1072765
work_keys_str_mv AT tarems triggerandreconstructionforaheavylonglivedchargedparticleswiththeatlasdetector
AT bresslers triggerandreconstructionforaheavylonglivedchargedparticleswiththeatlasdetector
AT nomotoh triggerandreconstructionforaheavylonglivedchargedparticleswiththeatlasdetector
AT dimattiaa triggerandreconstructionforaheavylonglivedchargedparticleswiththeatlasdetector