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This study revisits one-zero and two-zero neutrino mass textures, evaluating their viability against the latest neutrino oscillation parameters and cosmological constraints. The authors find that while several two-zero textures remain permissible under the CMB mass sum bound, only the A-series textures survive when stronger CMB+BAO constraints are applied. Additionally, by employing machine learning techniques like flow matching, the researchers identify excluded structures and derive distinct predictions for key neutrino mass parameters and the Dirac CP phase.
Some two-zero neutrino mass textures predict a Dirac CP phase near $\pi/2$ and $3\pi/2$, but only A-series textures withstand stringent cosmological constraints.
We revisit one-zero and two-zero textures of the neutrino mass matrix under current experimental and cosmological constraints. We identify the phenomenologically viable texture structures using the latest results on neutrino oscillation parameters, the cosmological bound on the sum of neutrino masses, the kinematic bound on the effective electron-neutrino mass, and limits from neutrinoless double-beta decay. For two-zero textures, several structures are still allowed if only the CMB bound on the neutrino mass sum is imposed. Among them, the $B$-series textures show a characteristic prediction for the Dirac CP phase, with $\delta_{\rm CP}$ lying around $\pi/2$ and $3\pi/2$, and are within the reach of future neutrinoless double-beta decay searches. When the stronger CMB+BAO constraint is included, however, only the $A$-series textures remain viable. Therefore, we also analyze one-zero textures by using machine learning techniques, particularly flow matching. It turns out that some of the texture structures are already excluded by current data, while the allowed ones give distinct predictions for $\sum_i m_i$, $m_{\nu_e}^{\rm eff}$, $\langle m_{ee}\rangle$, and $\delta_{\rm CP}$. We further discuss how the one-zero texture structures can arise from non-invertible selection rules.
