A comparison of multivariate data analysis techniques as applied to the identification of electrons and tau leptons

[摘要] This thesis compares the performance of Probability Density Estimation and Neural Networks as applied to the identification of tau leptons and electrons at the DO detector for Run II. The theory behind each method of multivariate analysis is briefly described. The efficiencies of each of the methods are compared from analysis of Monte Carlo data samples, and optimal choices for the discrimination between signal and background are made.

[发布机构] Rice University

[效力级别] physics