Dissertation/Thesis Abstract

An improved neutrino oscillations analysis of the MiniBooNE data
by Aguilar-Arevalo, Alexis Armando, Ph.D., Columbia University, 2008, 286; 3299354
Abstract (Summary)

We calculate the exclusion region in the parameter space of ν μ → νe oscillations of the LSND type using a combined fit to the reconstructed energy distributions of neutrino candidate samples from the MiniBooNE data obtained with two different particle identification methods. The two νe candidate samples are included together with a high statistics sample of νμ events in the definition of a χ2 statistic which includes the correlations between the energy intervals of all three samples and handles the event overlap between the νe samples. The νμ sample is introduced to constrain the effect of systematic uncertainties. This analysis increases the exclusion limit in the region Δm2 [special characters omitted] 1eV2 when compared with the result previously published by the collaboration, which used a different technique.

Indexing (document details)
School: Columbia University
School Location: United States -- New York
Source: DAI-B 69/01, Dissertation Abstracts International
Subjects: Particle physics
Keywords: MiniBooNE, Neutrino oscillations, Neutrinos
Publication Number: 3299354
ISBN: 978-0-549-43053-7
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