Genetic algorithm for SUSY trigger optimization in CMS detector at LHC

A method based on genetic algorithm approach is used to optimize Level 1 and Level 2 trigger selection for the generic Supersymmetry signature : multi-jet + missing ET. 3 probing points in the framework of mSUGRA model at the upper reach of the Tevatron II are studied. The case of R-parity violation scenario is considered, as the most challenging one, along with the “standard” case of R-parity conservation. Main Standard Model backgrounds are included in the study. For a given maximal rate at both trigger levels, the selection criteria are optimized to provide the maximal signal efficiency.