Analysis on Lepton Cuts for Doubly Charged Higgs Boson

In data analysis, selection cuts play an important role in filtering out background data while keeping the needed signal. Cuts improve the statistical significance of the measurements by retaining mostly the desired information. In this study, an analysis was conducted to understand which selection cuts were the most effective for the doubly charged Higgs boson search. The analysis was run on muons and electrons, and compared the original working cuts to a machine- learning-based multivariate analysis cut. Both cuts were tested with loose, medium, and tight leptons. The test concluded that the original cuts were the most efficient for electrons while the multivariate analysis was more efficient for muons.