Search for supersymmetry in events with opposite-sign dileptons and missing energy using Artifical Neural Networks

In this note 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. Advanced multivariate techniques, and in particular Artifical Neural Networks, are deployed in order to discriminate between possible SUSY signals from the Standard Model backgrounds. The analysis uses a data sample collected with the CMS detector during the 2011 LHC run and corresponding to an integrated luminosity of $2.2$ fb$^{-1}$