Search for supersymmetry in events with opposite-sign dileptons and missing energy using Artifical Neural Networks

In this note a search for supersymmetry (SUSY) is presented in events with two opposite sign isolated leptons in the final state, accompanied by hadronic jets and missing transverse energy. Advanced multivariate techniques, and in particular Artifical Neural Networks, are deployed in order to discri...

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Detalles Bibliográficos
Autor principal: CMS Collaboration
Publicado: 2012
Materias:
Particle Physics - Experiment
Acceso en línea:http://cds.cern.ch/record/1430728
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author CMS Collaboration
author_facet CMS Collaboration
author_sort CMS Collaboration
collection CERN
description In this note a search for supersymmetry (SUSY) is presented in events with two opposite sign isolated leptons in the final state, accompanied by hadronic jets and missing transverse energy. Advanced multivariate techniques, and in particular Artifical Neural Networks, are deployed in order to discriminate between possible SUSY signals from the Standard Model backgrounds. The analysis uses a data sample collected with the CMS detector during the 2011 LHC run and corresponding to an integrated luminosity of $2.2$ fb$^{-1}$
id cern-1430728
institution Organización Europea para la Investigación Nuclear
publishDate 2012
record_format invenio
spelling cern-14307282019-09-30T06:29:59Zhttp://cds.cern.ch/record/1430728CMS CollaborationSearch for supersymmetry in events with opposite-sign dileptons and missing energy using Artifical Neural NetworksParticle Physics - ExperimentIn this note a search for supersymmetry (SUSY) is presented in events with two opposite sign isolated leptons in the final state, accompanied by hadronic jets and missing transverse energy. Advanced multivariate techniques, and in particular Artifical Neural Networks, are deployed in order to discriminate between possible SUSY signals from the Standard Model backgrounds. The analysis uses a data sample collected with the CMS detector during the 2011 LHC run and corresponding to an integrated luminosity of $2.2$ fb$^{-1}$CMS-PAS-SUS-11-018oai:cds.cern.ch:14307282012
spellingShingle Particle Physics - Experiment
CMS Collaboration
Search for supersymmetry in events with opposite-sign dileptons and missing energy using Artifical Neural Networks
title Search for supersymmetry in events with opposite-sign dileptons and missing energy using Artifical Neural Networks
title_full Search for supersymmetry in events with opposite-sign dileptons and missing energy using Artifical Neural Networks
title_fullStr Search for supersymmetry in events with opposite-sign dileptons and missing energy using Artifical Neural Networks
title_full_unstemmed Search for supersymmetry in events with opposite-sign dileptons and missing energy using Artifical Neural Networks
title_short Search for supersymmetry in events with opposite-sign dileptons and missing energy using Artifical Neural Networks
title_sort search for supersymmetry in events with opposite-sign dileptons and missing energy using artifical neural networks
topic Particle Physics - Experiment
url http://cds.cern.ch/record/1430728
work_keys_str_mv AT cmscollaboration searchforsupersymmetryineventswithoppositesigndileptonsandmissingenergyusingartificalneuralnetworks

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