A Search for Supersymmetry with three or more leptons using $4.7 fb^{-1}$ of $\sqrt{s} = 7$ TeV CMS data

ORAL

Abstract

A search for physics beyond the standard model in events with at least three leptons and any number of jets is presented. The data sample corresponds to $4.7 fb^{-1}$ of integrated luminosity in $pp$ collisions at $\sqrt{s} = 7$ TeV collected by the CMS experiment at the LHC. Fifty-two exclusive multileptonic channels have been investigated. Standard model backgrounds are suppressed by requiring sufficient missing transverse energy, invariant mass inconsistent with that of the Z boson, or high jet activity. Control samples in data are used to ascertain the robustness of background evaluation techniques and to minimize the reliance on simulation. The observations are consistent with expectations from standard model processes. These results are used to exclude previously unexplored regions of the supersymmetric parameter space.

*The CMS Collaboration

Authors

  • Shruti Panwalkar

    • Rutgers, The State University of New Jersey-New Brunswick
  • Richard Gray

    • Rutgers, The State University of New Jersey-New Brunswick
  • Sunil Somalwar

    • Rutgers, The State University of New Jersey-New Brunswick
  • Amitabh Lath

    • Rutgers, The State University of New Jersey-New Brunswick
  • Scott Thomas

    • Rutgers, The State University of New Jersey-New Brunswick
  • John Paul Chou

    • Rutgers, The State University of New Jersey-New Brunswick
  • Matthew Walker

    • Rutgers, The State University of New Jersey-New Brunswick
  • Sanjay Arora

    • Rutgers, The State University of New Jersey-New Brunswick
  • Emmanuel Contreras-Campana

    • Rutgers, The State University of New Jersey-New Brunswick
  • Peter Thomassen

    • Rutgers, The State University of New Jersey-New Brunswick
  • Patrick Zywicki

    • Rutgers, The State University of New Jersey-New Brunswick
  • Michael Park

    • Rutgers, The State University of New Jersey-New Brunswick
  • Kin Chan

    • Rutgers, The State University of New Jersey-New Brunswick
  • Kelvin Mei

    • Rutgers, The State University of New Jersey-New Brunswick
  • Eric Williams

    • Rutgers, The State University of New Jersey-New Brunswick