Estimating cosmological parameters by the simulated data of gravitational waves from the Einstein Telescope
Rong-Gen Cai, Tao Yang

TL;DR
This paper evaluates the potential of third-generation gravitational wave detectors, like the Einstein Telescope, to constrain cosmological parameters such as the Hubble constant, dark matter density, and dark energy equation of state using simulated GW data.
Contribution
It introduces a new nonparametric Gaussian process method to reconstruct the dark energy equation of state from GW data, demonstrating its effectiveness.
Findings
Approximately 500-600 GW events can constrain H_0 as well as Planck data.
Around 700 GW events can constrain the dark energy equation of state w(z) similarly to supernovae data.
More than 1000 GW events are needed to match Planck's sensitivity for dark matter density.
Abstract
We investigate the constraint ability of the gravitational wave (GW) as the standard siren on the cosmological parameters by using the third-generation gravitational wave detector: the Einstein Telescope. We simulate the luminosity distances and redshift measurements from 100 to 1000 GW events. We use two different algorithms to constrain the cosmological parameters. For the Hubble constant and dark matter density parameter , we adopt the Markov chain Monte Carlo approach. We find that with about 500-600 GW events we can constrain the Hubble constant with an accuracy comparable to \textit{Planck} temperature data and \textit{Planck} lensing combined results, while for the dark matter density, GWs alone seem not able to provide the constraints as good as for the Hubble constant; the sensitivity of 1000 GW events is a little lower than that of \textit{Planck} data. It…
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