Invariant see-saw models and sequential dominance

Abstract

We propose an invariant see-saw (ISS) approach to model building, based on the observation that see-saw models of neutrino mass and mixing fall into basis invariant classes labelled by the Casas-Ibarra $R$-matrix, which we prove to be invariant not only under basis transformations but also non-unitary right-handed neutrino transformations $S$. According to the ISS approach, given any see-saw model in some particular basis one may determine the invariant $R$ matrix and hence the invariant class to which that model belongs. The formulation of see-saw models in terms of invariant classes puts them on a firmer theoretical footing, and allows different see-saw models in the same class to be related more easily, while their relation to the $R$-matrix makes them more easily identifiable in phenomenological studies. We also present an ISS mass formula which may be useful in model building. To illustrate the ISS approach we show that sequential dominance (SD) models form basis invariant classes in which the $R$-matrix is approximately related to a permutation of the unit matrix, and quite accurately so in the case of constrained sequential dominance (CSD) and tri-bimaximal mixing. Using the ISS approach we discuss examples of models in which the mixing naturally arises (at least in part) from the charged lepton or right-handed neutrino sectors and show that they are in the same invariant class as SD models. We also discuss the application of our results to flavour-dependent leptogenesis where we show that the case of a real $R$ matrix is approximately realized in SD, and accurately realized in CSD.