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Type III seesaw under $A_4$ modular symmetry with leptogenesis

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arxiv 2204.08338 v2 pith:NYFFVDMK submitted 2022-04-18 hep-ph

classification hep-ph
keywords modularsymmetryseesawcouplingshereincludedleptogenesisneutrino
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We make an attempt to study neutrino phenomenology in the framework of type-III seesaw by considering $A_4$ modular symmetry in the super-symmetric context. In addition, we have included a local $U(1)_{B-L}$ symmetry which eventually helps us to avoid certain unwanted terms in the superpotential. Hitherto, the seesaw being type-III, it involves three fermion triplet superfields $\Sigma_R$, along with which, we have included a singlet weighton field $(\rho)$. In here, modular symmetry plays a crucial role by avoiding the usage of excess flavon (weighton) fields. Also, the Yukawa couplings acquire modular forms which are expressed in terms of Dedekind eta function $\eta(\tau)$. However, for numerical analysis we use $q$ expansion expressions of these couplings. Therefore, the model discussed here is triumphant enough to accommodate the observed neutrino oscillation data and also successfully explains observed baryon asymmetry of the universe through leptogenesis.

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Cited by 3 Pith papers

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

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

    hep-ph 2026-02 conditional novelty 6.0 of 10

    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. Neutrino mass genesis in Scoto-Inverse Seesaw with Modular $A_4$

    hep-ph 2024-11 reject novelty 4.0 of 10

    The modular A4 scotogenic inverse seesaw model can fit normal-ordering neutrino data with a TeV-scale fermion dark matter candidate, but the stated parameter choice m_etaR = m_etaI makes the radiative neutrino mass vanish.

  3. Neutrino Mass Predictions with an AI-based Algorithm under $A_4$ Modular Symmetry

    hep-ph 2025-08 reject novelty 3.0 of 10

    An A4 modular linear-seesaw neutrino model is fitted with the ILA optimizer, and the fitted parameters agree with oscillation and cosmological bounds.

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