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

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Abstract:

In 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.

Tópico:

Particle physics theoretical and experimental studies

Citaciones:

Citations: 16
16

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Información de la Fuente:

FuentePhysical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology
Cuartil año de publicaciónNo disponible
Volumen87
Issue7
Páginas072001 - N/A
pISSNNo disponible
ISSN1550-2368

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