Machine learning optimization is applied to find parameters yielding neutrino mass matrices with target textures in BSM leptonic models.
Mass Matrix of Majorana Neutrinos
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abstract
We present a massive Majorana neutrino model and see how it is constrained from the solar and atmospheric neutrino deficit experiments. This model incorporates the seesaw mechanism and Peccei-Quinn symmetry. Its consequence to the neutrinoless double beta decay is also discussed.
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A modified TM2 mixing matrix is constructed to reproduce the best-fit values of the three neutrino mixing angles within 1 sigma and remains adjustable for future data updates.
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Rolling Down the Leptonic BSM Landscape Using Machine Learning Techniques
Machine learning optimization is applied to find parameters yielding neutrino mass matrices with target textures in BSM leptonic models.
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Modified TM2 for Reproducing All Best-Fit Values of Neutrino Mixing Angles
A modified TM2 mixing matrix is constructed to reproduce the best-fit values of the three neutrino mixing angles within 1 sigma and remains adjustable for future data updates.