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Linear seesaw in $A^\prime_5$ modular symmetry with Leptogenesis

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arxiv 2201.10429 v2 pith:S2FAXTGC submitted 2022-01-25 hep-ph

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

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abstract

In this paper, we investigate the implication of modular $\Gamma^{\prime}_5 \simeq A^{\prime}_5$ symmetry on neutrino oscillation phenomenology in the linear seesaw framework. In order to achieve the well defined mass structure for the light active neutrinos as dictated by the linear seesaw mechanism, we introduce six heavy fermion fields along with a pair of weightons to retain the holomorphic nature of the superpotential. The notable feature of modular symmetry is that, it reduces the usage of flavon fields significantly. In addition, the Yukawa couplings transform non-trivially under the flavor symmetry group and expressed in terms of the Dedekind eta functions, the $q$ expansion of which renders numerical simplicity in calculations. We demonstrate that the model framework diligently accommodates all the neutrino oscillation data. Alongside, we also investigate the effect of CP asymmetry generated from the decay of lightest heavy fermions to explain the observed baryon asymmetry through the phenomenon of leptogenesis.

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Forward citations

Cited by 4 Pith papers

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

  1. Phenomenology of Inverse Seesaw Using $S_3$ Modular Symmetry

    hep-ph 2025-04 conditional novelty 6.0 of 10

    A minimal S3 modular inverse seesaw model fits oscillation data and predicts inverted ordering, a massless lightest neutrino, and m_ee around 38 to 58 meV.

  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.

  4. Matter-antimatter asymmetry in minimal inverse seesaw framework with $A_4$ modular symmetry

    hep-ph 2025-05 conditional novelty 3.0 of 10

    An A4 modular inverse seesaw model with a U(1) B-L Z' fits neutrino data and produces the observed baryon asymmetry via resonant leptogenesis.

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