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, A.A Bhatti, T. Hussain, and M., Iqbal

TL;DR
This paper employs particle swarm optimization within a discrete symmetry framework to estimate neutrino masses and mixing parameters, addressing the neutrino mass puzzle and aligning with recent experimental data.
Contribution
It introduces a novel application of particle swarm optimization to a $A_4\times Z_3\times Z_{10}$ symmetric model with a hybrid seesaw mechanism for neutrino mass estimation.
Findings
Neutrino mass ranges are predicted for both hierarchies.
Effective neutrino mass parameters are calculated and match experimental data.
The model shows strong agreement with recent neutrino oscillation experiments.
Abstract
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 revealed that the majority of neutrino parameters indeed indicate their significant mass. In response, scientists are increasingly incorporating discrete symmetries alongside continuous ones for better justification of observed patterns of neutrino mixing. In this study, we have examined a model within symmetry to estimate the neutrino masses using particle swarm optimization technique for both mass hierarchy of neutrino. This model employed a hybrid seesaw mechanism, a combination of seesaw mechanism of type-I and type-II, to establish the effective Majorana neutrino mass matrix. After calculating the mass eigenvalues and lepton mixing matrix upto second order perturbation theory in…
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Taxonomy
TopicsAstrophysics and Cosmic Phenomena · Neutrino Physics Research
