# Effects of neutrino mass hierarchies on dynamical dark energy models

## TL;DR

This study examines how different neutrino mass hierarchies influence observational constraints on various dynamical dark energy models using comprehensive cosmological data, finding minimal differences among hierarchies.

## Contribution

It provides a detailed analysis of the impact of neutrino mass hierarchies on dark energy model constraints using extensive observational data sets.

## Key findings

- Neutrino hierarchies yield similar model fits.
- Dark energy properties are only mildly affected by hierarchy variations.
- Constraints on dark energy parameters remain robust across hierarchies.

## Abstract

We investigate how three different possibilities of neutrino mass hierarchies, namely normal, inverted, and degenerate, can affect the observational constraints on three well known dynamical dark energy models, namely the Chevallier-Polarski-Linder, logarithmic, and the Jassal-Bagla-Padmanabhan parametrizations. In order to impose the observational constraints on the models, we performed a robust analysis using Planck 2015 temperature and polarization data, Supernovae type Ia from Joint Light curve analysis, baryon acoustic oscillations distance measurements, redshift space distortion characterized by $f(z)\sigma_8(z)$ data, weak gravitational lensing data from Canada-France-Hawaii Telescope Lensing Survey, and cosmic chronometers data plus the local value of the Hubble parameter. We find that different neutrino mass hierarchies return similar fit on almost all model parameters and mildly change the dynamical dark energy properties.