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