M. N. Aslam

collaborators

2 papers

hep-ph2025

Neutrino Mass Predictions with an AI-based Algorithm under $A_{4}$ Modular Symmetry

Muhammad Waheed Aslam, Abrar Ahmad Zafar, Muhammad Naeem Aslam

This research undertakes a comprehensive exploration of neutrino mass model grounded in $A_{4}$ discrete non-Abelian modular symmetry formulated within a linear seesaw framework that…

hep-ph2024

Particle Swarm Optimization Based Analysis to Unlocking the Neutrino Mass Puzzle using $A_{4} \times Z_{3} \times Z_{10}$ Flavor Symmetry

M. W. Aslam, A. A. Zafar, M. N. Aslam +3

New research has highlighted a shortfall in the Standard Model (SM) because it predicts neutrinos to have zero mass. However, recent experiments on neutrino oscillation have reveal…

Neutrino Mass Predictions with an AI-based Algorithm under A4​ Modular Symmetry

Particle Swarm Optimization Based Analysis to Unlocking the Neutrino Mass Puzzle using A4​×Z3​×Z10​ Flavor Symmetry

Neutrino Mass Predictions with an AI-based Algorithm under $A_{4}$ Modular Symmetry

Particle Swarm Optimization Based Analysis to Unlocking the Neutrino Mass Puzzle using $A_{4} \times Z_{3} \times Z_{10}$ Flavor Symmetry