On the Sensitivity of L/E Analysis of Super-Kamiokande Atmospheric Neutrino Data to Neutrino Oscillation Part~2 --- Four Possible L/E Analyses for the Maximum Oscillation by the Numerical Computer Experiment ---
E. Konishi (1), Y. Minorikawa (2), V.I. Galkin (3), M. Ishiwata (4),, I. Nakamura (4), N. Takahashi (1), M. Kato (5), A. Misaki (6) ((1), Graduate School of Science, Technology, Hirosaki University, Hirosaki,, Japan, (2) Department of Science, School of Science, Engineering

TL;DR
This paper evaluates four different L/E analysis methods for atmospheric neutrino data, concluding that only the neutrino energy and path length ratio accurately reveals maximum oscillations, challenging current Super-Kamiokande practices.
Contribution
The study identifies the most effective L/E analysis method for detecting neutrino oscillation maxima and critiques the assumptions used in existing Super-Kamiokande analyses.
Findings
Only L_nu/E_nu analysis clearly shows maximum oscillation signature.
L_mu/E_mu analysis used by Super-Kamiokande cannot detect maximum oscillation.
Super-Kamiokande should re-analyze zenith angle distributions for accurate results.
Abstract
In the previous paper (Part~1), we have verified that the SK assumption on the direction does not hold in the analysis of neutrino events occurred inside the SK detector. We have made four possible L/E analyses, L_nu/E_nu, L_nu/E_mu, L_mu/E_nu and L_mu/E_mu. Among four kinds of L/E analyses, we have shown that only L_nu/E_nu analysis can give the signature of maximum oscillations clearly, while the L_mu/E_mu analysis which are really done by Super-Kamiokande Collaboration cannot give the maximum oscillation at all. It is thus concluded that Super-Kamiokande type experiment cannot find the maximum oscillation from L/E analysis. Therefore, we would suggest Super-Kamiokande Collaboration to re-analyze the zenith angle distribution of the neutrino events which occur inside the detector carefully.
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Taxonomy
TopicsAstrophysics and Cosmic Phenomena · Neutrino Physics Research
