Optimal Parametrization of Deviations from Tribimaximal Form of the Neutrino Mass Matrix

TL;DR

This paper introduces a comprehensive parametrization of neutrino Majorana mass matrices to systematically analyze deviations from tribimaximal mixing, aiding in the classification of flavor model corrections.

Contribution

It presents a novel parametrization scheme with three complex parameters that captures all possible deviations from tribimaximal mixing in neutrino mass matrices.

Findings

Provides a systematic classification of deviations from tribimaximal mixing.

Offers a practical tool for flavor model analysis.

Facilitates comparison of theoretical models with experimental data.

Abstract

We obtain a general parametrization for the neutrino Majorana mass matrix in which all possible deviations from tribimaximal mixing are given by three complex parameters, and the deviation from each tribimaximal mixing eigenvector is identified with precisely two of them. This parametrization provides a useful tool for classifying the corrections to exact tribimaximal mixing in flavor models.