Full Numerical Estimation of Neutrino Mixing Parameters from Solar Neutrino Data
Jai Sam Kim, C.W. Kim

TL;DR
This paper numerically analyzes solar neutrino data within the three-generation MSW framework to estimate neutrino mixing parameters, confirming known regions and predicting a specific value for .
Contribution
It provides a comprehensive numerical estimation of neutrino mixing parameters from solar data using full three-generation formalism, including new insights for .
Findings
Confirmed two main regions for 0c 0c 0.006 and 0c 0c 0.5.
Identified an additional less likely region for 0c 0c 10^{-5} to 10^{-4} eV^2.
Predicted 0c 0c ^\u00b0 based on the analysis.
Abstract
We have numerically computed survival probabilities of solar neutrinos interacting with matter via MSW mechanism in the full three generation formalism with eV. For , we confirm the two regions found in the two generation case, (1) with the most likelyhood, small , (2) with less likelyhood, large . For , we find an additional region, (3) with even less likelyhood, eV and/or . Assuming that the case (1) is valid, we predict that .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNeutrino Physics Research · Atmospheric Ozone and Climate · Dark Matter and Cosmic Phenomena
