A modular A4 framework generates Dirac neutrino masses naturally, reproduces the charged lepton hierarchy, and predicts neutrino mixing angles, mass differences, maximal CP violation, and a cosmologically allowed neutrino mass sum.
Devi,Retrieving texture zeros in 3+1 active-sterile neutrino framework under the action ofA 4 modular-invariants,2303.04900
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Machine learning optimization is applied to find parameters yielding neutrino mass matrices with target textures in BSM leptonic models.
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The Seesaw Evaded Modular Dirac Framework
A modular A4 framework generates Dirac neutrino masses naturally, reproduces the charged lepton hierarchy, and predicts neutrino mixing angles, mass differences, maximal CP violation, and a cosmologically allowed neutrino mass sum.
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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.