Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network - IN2P3 - Institut national de physique nucléaire et de physique des particules Access content directly
Journal Articles Physical Review D Year : 2013

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

S. Chatrchyan
  • Function : Author
Pierre Busson
R. Granier de Cassagnac
C. Mironov
P. Paganini
J.-L. Agram
C. Collard
E. Conte
P. van Hove
D. Contardo
M. Gouzevitch
M. Lethuillier
V. Sordini
P. Verdier

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 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 observation, yielding limits in the context of the constrained mininal supersymmetric standard model and on a set of simplified models.

Dates and versions

in2p3-00771015 , version 1 (08-01-2013)

Identifiers

Cite

S. Chatrchyan, M. Besançon, S. Choudhury, M. Dejardin, D. Denegri, et al.. Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network. Physical Review D, 2013, 87, pp.072001. ⟨10.1103/PhysRevD.87.072001⟩. ⟨in2p3-00771015⟩
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