Search for SUSY in events with a single lepton, jets, and missing transverse momentum using a neural net approach

Details Search for SUSY in events with a single lepton, jets, and missing transverse momentum using a neural net approach Search for SUSY in events with a single lepton, jets, and missing transverse momentum using a neural net approach

Mar 2012

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aps..apr.q9006c&link_type=abstract

American Physical Society, APS April Meeting 2012, March 31-Apr 3, 2012, abstract #Q9.006

Physics

Scientific paper

Supersymmetry is searched for in proton-proton collisions at √s = 7 TeV using events with a single isolated lepton, energetic jets, and large missing transverse momentum. The analyzed data, which were recorded in the CMS detector at the LHC, correspond to a total integrated luminosity of 4.7 fb-1. The search uses a multivariate analysis technique based on neural networks to suppress Standard Model backgrounds, and estimates residual backgrounds using a fully data-driven method. The analysis is performed in both the muon and electron channels, and the combined result is interpreted in the framework of the CMSSM parameter space.

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