A Predictive Non-Holomorphic Modular $A_4$ Linear Seesaw Framework Testable at DUNE
Rudra Majhi, Mitesh Kumar Behera, Rukmani Mohanta

TL;DR
This paper introduces a non-holomorphic modular $A_4$ symmetry-based linear seesaw model for neutrino masses, which is testable at DUNE and predicts observable neutrino properties within current experimental bounds.
Contribution
It develops a novel non-holomorphic modular $A_4$ framework for linear seesaw neutrino masses, reducing field content and providing testable predictions.
Findings
Consistent with current neutrino oscillation data at 3σ
Predicts neutrino mass scale and CP phases
Highlights testable signatures in future experiments
Abstract
We study a realization of neutrino masses within the linear seesaw mechanism based on non-holomorphic modular symmetry, extending modular-invariant flavor models beyond the conventional holomorphic framework. The model is constructed in a non-supersymmetric setting and involves six heavy singlet fermions, and , together with a single flavon field, thereby significantly reducing the field content. The modular transformation properties of the Yukawa couplings under symmetry lead to a highly constrained neutrino mass matrix with a distinctive flavor structure. After presenting the general theoretical framework, we perform a systematic numerical analysis of neutrino phenomenology by restricting the modulus parameter to the fundamental domain and scanning the allowed parameter space. We identify regions consistent with current neutrino oscillation data…
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Taxonomy
TopicsNeutrino Physics Research · Particle physics theoretical and experimental studies · Astrophysics and Cosmic Phenomena
