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

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dc.contributor.advisorPadley, B. Paulen_US
dc.creatorAskew, Andrew Warrenen_US
dc.date.accessioned2009-06-04T08:13:22Zen_US
dc.date.available2009-06-04T08:13:22Zen_US
dc.date.issued2001en_US
dc.description.abstractThis 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.en_US
dc.format.extent99 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.callnoTHESIS PHYS. 2001 ASKEWen_US
dc.identifier.citationAskew, 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>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/17401en_US
dc.language.isoengen_US
dc.rightsCopyright 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.en_US
dc.subjectParticle physicsen_US
dc.subjectElementary particlesen_US
dc.subjectHigh energy physicsen_US
dc.titleA comparison of multivariate data analysis techniques as applied to the identification of electrons and tau leptonsen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentPhysicsen_US
thesis.degree.disciplineNatural Sciencesen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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