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July 25, 2026
Scientific Reports
Open Access
Neutrino mass predictions with metaheuristic optimization under A₄ modular symmetry
MA
AZ
MA
Muhammad Waheed Aslam
+ 5 more
Muhammad Waheed Aslam
Abrar Ahmad Zafar
Muhammad Naeem Aslam
Amina Magdich
Yamen El Touati
Ahmed A. Hamoud
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Key Points
The research aims to explore neutrino mass models utilizing modular symmetry and optimize parameters accordingly.
Applied a metaheuristic optimization algorithm (ILA) to refine neutrino mass model parameters.
Analyzed neutrino masses and oscillation parameters within the context of the linear seesaw mechanism.
Compared findings against experimental data and cosmological constraints.
Optimized parameters are consistent with experimental data on neutrino oscillations.
Predictions for effective neutrino masses align with beta decay and neutrinoless double beta decay outcomes.
The sum of neutrino masses aligns with Planck limits ( .06<A3 m<