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Determining SUSY model parameters and masses at the LHC using cross sections, kinematic edges and other observables

We address the problem of mass measurements of supersymmetric particles at the Large Hadron Collider, using the ATLAS detector as an example. By using Markov Chain sampling techniques to combine standard measurements of kinematic edges in the invariant mass distributions of decay products with a mea...

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Detalles Bibliográficos
Autores principales: White, M J, Lester, C G, Parker, M A
Lenguaje:eng
Publicado: 2005
Materias:
Acceso en línea:http://cds.cern.ch/record/854118
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author White, M J
Lester, C G
Parker, M A
author_facet White, M J
Lester, C G
Parker, M A
author_sort White, M J
collection CERN
description We address the problem of mass measurements of supersymmetric particles at the Large Hadron Collider, using the ATLAS detector as an example. By using Markov Chain sampling techniques to combine standard measurements of kinematic edges in the invariant mass distributions of decay products with a measurement of a missing $p_T$ cross-section, we show that the precision of mass measurements at the LHC can be dramatically improved, even when we do not assume that we have measured the kinematic endpoints precisely, or that we have identified exactly which particles are involved in the decay chain causing the endpoints. The generality of the technique is demonstrated in a preliminary investigation of a non-universal SUGRA model, in which we relax the requirements of mSUGRA by breaking the degeneracy of the GUT scale gaugino masses. The model studied is compatible with the WMAP limits on dark matter relic density.
id cern-854118
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2005
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spelling cern-8541182021-04-18T19:39:51Zhttp://cds.cern.ch/record/854118engWhite, M JLester, C GParker, M ADetermining SUSY model parameters and masses at the LHC using cross sections, kinematic edges and other observablesDetectors and Experimental TechniquesWe address the problem of mass measurements of supersymmetric particles at the Large Hadron Collider, using the ATLAS detector as an example. By using Markov Chain sampling techniques to combine standard measurements of kinematic edges in the invariant mass distributions of decay products with a measurement of a missing $p_T$ cross-section, we show that the precision of mass measurements at the LHC can be dramatically improved, even when we do not assume that we have measured the kinematic endpoints precisely, or that we have identified exactly which particles are involved in the decay chain causing the endpoints. The generality of the technique is demonstrated in a preliminary investigation of a non-universal SUGRA model, in which we relax the requirements of mSUGRA by breaking the degeneracy of the GUT scale gaugino masses. The model studied is compatible with the WMAP limits on dark matter relic density.ATL-PHYS-PUB-2005-013ATL-COM-PHYS-2005-033CERN-ATL-PHYS-PUB-2005-013oai:cds.cern.ch:8541182005
spellingShingle Detectors and Experimental Techniques
White, M J
Lester, C G
Parker, M A
Determining SUSY model parameters and masses at the LHC using cross sections, kinematic edges and other observables
title Determining SUSY model parameters and masses at the LHC using cross sections, kinematic edges and other observables
title_full Determining SUSY model parameters and masses at the LHC using cross sections, kinematic edges and other observables
title_fullStr Determining SUSY model parameters and masses at the LHC using cross sections, kinematic edges and other observables
title_full_unstemmed Determining SUSY model parameters and masses at the LHC using cross sections, kinematic edges and other observables
title_short Determining SUSY model parameters and masses at the LHC using cross sections, kinematic edges and other observables
title_sort determining susy model parameters and masses at the lhc using cross sections, kinematic edges and other observables
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/854118
work_keys_str_mv AT whitemj determiningsusymodelparametersandmassesatthelhcusingcrosssectionskinematicedgesandotherobservables
AT lestercg determiningsusymodelparametersandmassesatthelhcusingcrosssectionskinematicedgesandotherobservables
AT parkerma determiningsusymodelparametersandmassesatthelhcusingcrosssectionskinematicedgesandotherobservables