paper

A radiative seesaw model in a supersymmetric modular group

arXiv:2201.10244

Abstract

We propose a supersymmetric radiative seesaw model with modular symmetry. Thanks to contributions of supersymmetric partners to one-loop diagrams generating neutrino masses, we successfully fit neutrino data and obtain predictions in case of normal hierarchy in a minimal framework that would not be realized in a non-supersymmetric model. We show a several predictive figures and demonstrate a best fit benchmark point through

19 pages, 4 figures

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