An analysis of the oscillation of atmospheric neutrinos
This thesis presents an analysis of the oscillation of atmospheric neutrinos observed in Super-Kamiokande, a large underground water Cherenkov detector in Japan. The observed atmospheric neutrino events are reconstructed and selected using a newly developed maximum likelihood event reconstruction al...
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ndltd-UBC-oai-circle.library.ubc.ca-2429-602212018-01-05T17:29:29Z An analysis of the oscillation of atmospheric neutrinos Tobayama, Shimpei This thesis presents an analysis of the oscillation of atmospheric neutrinos observed in Super-Kamiokande, a large underground water Cherenkov detector in Japan. The observed atmospheric neutrino events are reconstructed and selected using a newly developed maximum likelihood event reconstruction algorithm, and a Markov chain Monte Carlo technique is employed to present the results on neutrino oscillation parameters as marginalized Bayesian posterior probabilities. The result of analyzing the SK-IV data of 2520 days exposure shows a preference for normal mass hierarchy with the posterior probability of 85.9%, and the mode and the 68% credible interval of each oscillation parameter’s marginalized 1D posterior probability distribution for normal hierarchy are sin² θ₂₃=0.606⁺⁰·⁰⁴⁴₋₀.₁₁₈ and Δm²₃₂=2.13⁺⁰·¹⁷₋₀.₃₈ ×10-³ eV². Science, Faculty of Physics and Astronomy, Department of Graduate 2017-01-09T16:30:45Z 2017-01-21T04:04:22 2016 2017-02 Text Thesis/Dissertation http://hdl.handle.net/2429/60221 eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ University of British Columbia |
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English |
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description |
This thesis presents an analysis of the oscillation of atmospheric neutrinos observed in Super-Kamiokande, a large underground water Cherenkov detector in Japan. The observed atmospheric neutrino events are reconstructed and selected using a newly developed maximum likelihood event reconstruction algorithm, and a Markov chain Monte Carlo technique is employed to present the results on neutrino oscillation parameters as marginalized Bayesian posterior probabilities. The result of analyzing the SK-IV data of 2520 days exposure shows a preference for normal mass hierarchy with the posterior probability of 85.9%, and the mode and the 68% credible interval of each oscillation parameter’s marginalized 1D posterior probability distribution for normal hierarchy are sin² θ₂₃=0.606⁺⁰·⁰⁴⁴₋₀.₁₁₈ and Δm²₃₂=2.13⁺⁰·¹⁷₋₀.₃₈ ×10-³ eV². === Science, Faculty of === Physics and Astronomy, Department of === Graduate |
author |
Tobayama, Shimpei |
spellingShingle |
Tobayama, Shimpei An analysis of the oscillation of atmospheric neutrinos |
author_facet |
Tobayama, Shimpei |
author_sort |
Tobayama, Shimpei |
title |
An analysis of the oscillation of atmospheric neutrinos |
title_short |
An analysis of the oscillation of atmospheric neutrinos |
title_full |
An analysis of the oscillation of atmospheric neutrinos |
title_fullStr |
An analysis of the oscillation of atmospheric neutrinos |
title_full_unstemmed |
An analysis of the oscillation of atmospheric neutrinos |
title_sort |
analysis of the oscillation of atmospheric neutrinos |
publisher |
University of British Columbia |
publishDate |
2017 |
url |
http://hdl.handle.net/2429/60221 |
work_keys_str_mv |
AT tobayamashimpei ananalysisoftheoscillationofatmosphericneutrinos AT tobayamashimpei analysisoftheoscillationofatmosphericneutrinos |
_version_ |
1718585508123115520 |