Publication
Title
Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network
Author
Institution/Organisation
CMS Collaboration
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(-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 (E-T > 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 minimal supersymmetric standard model and on a set of simplified models. DOI: 10.1103/PhysRevD.87.072001
Language
English
Source (journal)
Physical review : D : particles and fields. - Lancaster, Pa, 1970 - 2003
Publication
Lancaster, Pa : 2013
ISSN
0556-2821
Volume/pages
87:7(2013), p. 1-21
Article Reference
072001
ISI
000316954200001
Medium
E-only publicatie
Full text (Publishers DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 07.06.2013
Last edited 10.04.2017
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