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Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network

dc.contributor.authorCMS collaboration (2189 authors)
dc.contributor.authorHollar, Jonathan
dc.contributor.authorNayak, Aruna
dc.contributor.authorCalpas, Betty
dc.contributor.authorAlmeida, Nuno
dc.contributor.authorBargassa, Pedrame
dc.contributor.authorDavid Tinoco Mendes, Andre
dc.contributor.authorFaccioli, Pietro
dc.contributor.authorFerreira Parracho, Pedro Guilherme
dc.contributor.authorGallinaro, Michele
dc.contributor.authorSeixas, Joao
dc.contributor.authorVarela, Joao
dc.contributor.authorVischia, Pietro
dc.contributor.authorLloret Iglesias, Lara
dc.contributor.authorMusella, Pasquale
dc.contributor.authorRodrigues Antunes, Joao
dc.contributor.authorSilva, Pedro
dc.contributor.authorPela, Joao
dc.contributor.authorLeonardo, Nuno
dc.date.accessioned2019-02-03T22:13:10Z
dc.date.available2019-02-03T22:13:10Z
dc.date.issued2013-04-02
dc.date.updated2019-02-03T22:13:09Z
dc.description.abstractIn this paper, 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. An artificial neural network is employed to discriminate possible SUSY signals from a standard model background. The analysis uses a data sample collected with the CMS detector during the 2011 LHC run, corresponding to an integrated luminosity of 4.98 inverse femtobarns of proton-proton collisions at the center-of-mass energy of 7 TeV. Compared to other CMS analyses, this one uses relaxed criteria on missing transverse energy (missing ET > 40 GeV) and total hadronic transverse energy (HT > 120 GeV), thus probing different regions of parameter space. Agreement is found between standard model expectation and observations, yielding limits in the context of the constrained mininal supersymmetric standard model and on a set of simplified models.
dc.description.versionPeer Reviewed
dc.identifierPhys.Rev. D87 (2013) 072001; DOI 10.1103/PhysRevD.87.072001
dc.identifier.urihttp://dx.doi.org/10.1103/PhysRevD.87.072001
dc.identifier.urihttp://hdl.handle.net/10400.26/26360
dc.language.isoeng
dc.relationEuropean Grid Initiative: Integrated Sustainable Pan-European Infrastructure for Researchers in Europe
dc.titleSearch for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleEuropean Grid Initiative: Integrated Sustainable Pan-European Infrastructure for Researchers in Europe
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/261323/EU
oaire.fundingStreamFP7
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt
rcaap.typearticle
relation.isProjectOfPublication581c11bf-ae68-4acb-bdae-f350d90cb7f7
relation.isProjectOfPublication.latestForDiscovery581c11bf-ae68-4acb-bdae-f350d90cb7f7

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