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Title: An improved Neutrino Oscillations Analysis of the MiniBooNE Data

Abstract

We calculate the exclusion region in the parameter space of vμ → v 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 ve candidate samples are included together with a high statistics sample of vμ events in the definition of a X2 statistic which includes the correlations between the energy intervals of all three samples and handles the event overlap between the ve samples. The vμ sample is introduced to constrain the effect of systematic uncertainties. This analysis increases the exclusion limit in the region Δm2≲ 1eV2 when compared with the result previously published by the collaboration, which used a different technique.

Authors:
 [1]
  1. Columbia Univ., New York, NY (United States)
Publication Date:
Research Org.:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
923528
Report Number(s):
FERMILAB-THESIS-2008-01
TRN: US0801862
DOE Contract Number:  
AC02-07CH11359
Resource Type:
Thesis/Dissertation
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; ENERGY SPECTRA; NEUTRINO OSCILLATION; NEUTRINOS; OSCILLATIONS; PARTICLE IDENTIFICATION; STATISTICS; Experiment-HEP

Citation Formats

Aguilar-Arevalo, Alexis Armando. An improved Neutrino Oscillations Analysis of the MiniBooNE Data. United States: N. p., 2008. Web. doi:10.2172/923528.
Aguilar-Arevalo, Alexis Armando. An improved Neutrino Oscillations Analysis of the MiniBooNE Data. United States. https://doi.org/10.2172/923528
Aguilar-Arevalo, Alexis Armando. 2008. "An improved Neutrino Oscillations Analysis of the MiniBooNE Data". United States. https://doi.org/10.2172/923528. https://www.osti.gov/servlets/purl/923528.
@article{osti_923528,
title = {An improved Neutrino Oscillations Analysis of the MiniBooNE Data},
author = {Aguilar-Arevalo, Alexis Armando},
abstractNote = {We calculate the exclusion region in the parameter space of vμ → v 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 ve candidate samples are included together with a high statistics sample of vμ events in the definition of a X2 statistic which includes the correlations between the energy intervals of all three samples and handles the event overlap between the ve samples. The vμ sample is introduced to constrain the effect of systematic uncertainties. This analysis increases the exclusion limit in the region Δm2≲ 1eV2 when compared with the result previously published by the collaboration, which used a different technique.},
doi = {10.2172/923528},
url = {https://www.osti.gov/biblio/923528}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2008},
month = {1}
}

Thesis/Dissertation:
Other availability
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