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Texture zeros realization in a three-loop radiative neutrino mass model from modular A₄ symmetry

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arxiv 2309.13921 v1 pith:V3SVSHOX submitted 2023-09-25 hep-ph

Texture zeros realization in a three-loop radiative neutrino mass model from modular A₄ symmetry

classification hep-ph
keywords massneutrinosymmetrymodelmodulartexturethree-loopanalyses
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We derive verifiable two-zero textures in the framework of a three-loop induced neutrino mass model applying a modular $A_4$ symmetry for the lepton sector. Interestingly, the neutrino mass structure is determined by assignments of the right-handed charged-lepton particles only. We show all the possible texture patterns and demonstrate their analytical and numerical analyses. Finally, we mention a possibility of detection for doubly-charged boson via colliders that decays into specific modes due to the flavor symmetry.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. A Predictive Non-Holomorphic Modular $A_4$ Linear Seesaw Framework Testable at DUNE

    hep-ph 2026-02 conditional novelty 6.0

    A non-holomorphic modular A4 linear seesaw model with six singlet fermions and one flavon reproduces observed neutrino mixing and predicts absolute mass and 0νββ ranges that DUNE and other experiments can test.

  2. A Non-Holomorphic Modular $A_4$ Framework for Resonant Leptogenesis with Gravitational Wave Signatures

    hep-ph 2026-07 conditional novelty 5.0

    A non-holomorphic modular A4 seesaw model yields quasi-degenerate right-handed neutrinos, enabling resonant leptogenesis at ~10^6 GeV and a double-peaked gravitational-wave signature.

  3. Rolling Down the Leptonic BSM Landscape Using Machine Learning Techniques

    hep-ph 2026-06 unverdicted novelty 4.0

    Machine learning optimization is applied to find parameters yielding neutrino mass matrices with target textures in BSM leptonic models.