A comparison of multivariate data analysis techniques as applied to the identification of electrons and tau leptons
Askew, Andrew Warren
Padley, B. Paul
Master of Science
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.
Particle physics; Elementary particles; High energy physics