Neutrino mass, leptogenesis and sterile neutrino dark matter in inverse seesaw framework

TL;DR

This paper presents an $S_{4}$ flavor symmetric inverse seesaw model that simultaneously explains neutrino masses, dark matter, and baryon asymmetry through leptogenesis, with detailed numerical analysis and cosmological constraints.

Contribution

It introduces a novel inverse seesaw framework with flavor symmetry and additional constraints to unify neutrino phenomenology, dark matter, and baryogenesis.

Findings

Identifies a parameter space consistent with dark matter and baryon asymmetry observations.

Provides a detailed numerical analysis for both normal and inverted hierarchies.

Constrains the model using latest cosmological bounds.

Abstract

We study $S_{4}$ flavor symmetric inverse seesaw model which has the possibility of simultaneously addressing neutrino phenomenology, dark matter (DM) and baryon asymmetry of the universe (BAU) through leptogenesis. The model is the extension of the standard model by the addition of two right handed neutrinos and three sterile fermions leading to a keV scale sterile neutrino dark matter and two pairs of quasi-Dirac states. The CP violating decay of the lightest quasi- Dirac pair present in the model generates lepton asymmetry which then converts to baryon asymmetry of the universe. Thus this model can provide a simultaneous solution for non zero neutrino mass, dark matter content of the universes and the observed baryon asymmetry. The $S_{4}$ flavor symmetry in this model is augmented by additional $Z_{4}\times Z_{3}$ symmetry to constrain the Yukawa Lagrangian. A detailed numerical analysis has been carried out to obtain dark matter mass, DM-active mixing as well as BAU both for normal hierarchy as well as inverted hierarchy. We have tried to correlate the two cosmological observables and found a common parameter space satisfying the DM phenomenology and BAU. The parameter space of the model is further constrained from the latest cosmological bounds on the above mentioned observables.