Padley, B. Paul2009-06-042009-06-042001Askew, Andrew Warren. "A comparison of multivariate data analysis techniques as applied to the identification of electrons and tau leptons." (2001) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/17401">https://hdl.handle.net/1911/17401</a>.https://hdl.handle.net/1911/17401This 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.99 p.application/pdfengCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.Particle physicsElementary particlesHigh energy physicsThesisTHESIS PHYS. 2001 ASKEW