Dynamical dark energy models in the light of Gravitational-Wave Transient Catalogues

TL;DR

This paper updates constraints on dynamical dark energy models using recent gravitational-wave data combined with supernova and cosmic chronometer data, finding strong preferences against certain models and estimating the number of standard sirens needed for precise Hubble constant measurement.

Contribution

It provides the first combined analysis of GW, SNeIa, and CC data for dark energy models and estimates the future data needed for precise cosmological parameter constraints.

Findings

Strong preference against the CPL dark energy model.

Current GW catalogues are insufficient for 1% H0 precision.

Combined data favors the $ m extLambda$CDM model over some dynamical models.

Abstract

The study of current gravitational waves (GW) catalogues provide an interesting model independent way to understand further the nature of dark energy. In this work, we present an update of the constrains related to dynamical dark energy parametrisations using recent Gravitational-Wave Transient catalogues (GWTC-1 and GWTC-2) along with Type Ia supernova (SNeIa) and Cosmic Chronometers (CC) catalogues. According to our Bayesian results using the full SNeIa+CC+GW database, the $\Lambda$CDM model shows a strong preference against two dark energy parameterisation known as Barboza-Alcaniz (BA) and the Low Correlation (LC) models. Also, we obtain a very strong preference against the Chevallier-Polarski-Linder (CPL) model. Furthermore, we generated a mock GW catalogue and estimate that we require approximately 1000 standard sirens to have a constrain of $H_0$ within 1\% relative error, quantity that is out of reach of current standard sirens candidates in GWTC-1 and GWTC-2 catalogues.