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Retrieving texture zeros in 3+1 active-sterile neutrino framework under the action of $A_4$ modular-invariants
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abstract
The flavour problem and the viability of texture zeros of the Majorana mass matrix in the 3+1 active-sterile neutrino mixing scenario are investigated in this work using a novel bottom-up technique where we leverage the pertinent concepts of full modular group, modular invariants, and $A_4$ flavour symmetry as theoretical tools for the explicit construction of neutrino models. In this approach we treat each chiral field as modular forms in the 3+1 neutrino mixing which are constrained by the $A_4$ modular symmetry. Using these techniques, we create straightforward predictive models that only depends on a few parameters and simultaneously explains the observed pattern of neutrino mixing without the need for fine-tuning, allowing us to perceive the feasible zero textures of the Majorana mass matrix under the 3+1 framework.We discuss the implications of the allowed 3+1 zero textures by analyzing the sterile neutrino parameters, providing insight into the flavor problem and the viability of the Majorana mass matrix. The values of the active-sterile mixing (ASM) parameters predicted from our models are highly consistent with the $3\sigma$ values of the ASM parameters.
Forward citations
Cited by 3 Pith papers
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A Predictive Non-Holomorphic Modular $A_4$ Linear Seesaw Framework Testable at DUNE
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.
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A Non-Holomorphic Modular $A_4$ Framework for Resonant Leptogenesis with Gravitational Wave Signatures
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.
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Neutrino Mass Predictions with an AI-based Algorithm under $A_4$ Modular Symmetry
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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