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

Author(s)
Apyan, Aram; Bendavid, Joshua L.; Busza, Wit; Butz, Erik M.; Cali, Ivan Amos; Chan, M.; Dutta, Valentina; Gomez-Ceballos, Guillelmo; Goncharov, Maxim; Kim, Y.; Klute, Markus; Krajczar, Krisztian F.; Levin, Andrew Michael; Nahn, Steven; Paus, Christoph M. E.; Ralph, Duncan Kelley; Rudolph, Matthew Scott; Stephans, George S. F.; Velicanu, Dragos Alexandru; Wenger, Edward Allen; Wyslouch, Boleslaw; Yoon, A. S.; Zanetti, Marco; Bauer, Gerry P; Ma, Teng; Roland, Christof E; Stoeckli, Fabian; Sung, Kevin Kai Hong; Yilmaz, Yetkin; Luckey Jr, P David; Roland, Gunther M; Sumorok, Konstanty C; Wolf, Roger; Yang, Mingming; Wyslouch, Victoria; ... Show more Show less
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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  fb[superscript -1] 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 (E̸[subscript T]>40  GeV) and total hadronic transverse energy (H[subscript T]>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 minimal supersymmetric standard model and on a set of simplified models.
Date issued
2013-04
URI
http://hdl.handle.net/1721.1/82520
Department
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering; Massachusetts Institute of Technology. Department of Physics; Massachusetts Institute of Technology. School of Science
Journal
Physical Review D
Publisher
American Physical Society
Citation
Chatrchyan, S., V. Khachatryan, A. M. Sirunyan, A. Tumasyan, W. Adam, E. Aguilo, T. Bergauer, et al. “Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network.” Physical Review D 87, no. 7 (April 2013).
Version: Final published version
ISSN
1550-7998
1550-2368

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