Forecasting cosmological constraints from age of high-z galaxies

TL;DR

This paper uses Monte Carlo simulations of high-redshift galaxy ages to forecast how well future data can constrain dark energy's equation of state, highlighting the importance of combining age and BAO data.

Contribution

It introduces a forecasting method using high-z galaxy ages and explores the impact of different EoS parameterizations on cosmological constraints.

Findings

Joint age and BAO analysis significantly improves constraints.

FoM depends strongly on sample size and accuracy.

Different EoS parameterizations affect forecasted constraints.

Abstract

We perform Monte Carlo simulations based on current age estimates of high-z objects to forecast constraints on the equation of state (EoS) of the dark energy. In our analysis, we use two different EoS parameterizations, namely, the so-called CPL and its uncorrelated form and calculate the improvements on the figure of merit for both cases. Although there is a clear dependence of the FoM with the size and accuracy of the synthetic age samples, we find that the most substantial gain in FoM comes from a joint analysis involving age and baryon acoustic oscillation data.