English

Constraining $\Lambda$CDM cosmological parameters with Einstein Telescope mock data

Cosmology and Nongalactic Astrophysics 2023-06-23 v2

Abstract

We investigate the capability of Einstein Telescope to constrain the cosmological parameters of the non-flat Λ\LambdaCDM cosmological model. Two types of mock datasets are considered depending on whether or not a short Gamma-Ray Burst is detected and associated with the gravitational wave emitted by binary neutron stars merger using the THESEUS satellite. Depending on the mock dataset, two statistical estimators are applied: one assumes that the redshift is known, while the other marginalizes over it assuming a specific redshift prior distribution. We demonstrate that {\em (i)} using mock catalogs collecting gravitational wave signals emitted by binary neutron stars systems to which a short Gamma-Ray Burst has been associated, Einstein Telescope may achieve an accuracy on the cosmological parameters of σH00.40\sigma_{H_0}\approx 0.40 km s1^{-1} Mpc1^{-1}, σΩk,00.09\sigma_{\Omega_{k,0}}\approx 0.09, and σΩΛ,00.07\sigma_{\Omega_{\Lambda,0}}\approx 0.07; while {\em (ii)} using mock catalogs collecting all gravitational wave signals emitted by binary neutron stars systems for which an electromagnetic counterpart has not been detected, Einstein Telescope may achieve an accuracy on the cosmological parameters of σH00.04\sigma_{H_0}\approx 0.04 km s1^{-1} Mpc1^{-1}, σΩk,00.01\sigma_{\Omega_{k,0}}\approx 0.01, and σΩΛ,00.01\sigma_{\Omega_{\Lambda,0}}\approx 0.01, once the redshift probability distribution of GW events is known from population synthesis simulations and/or the measure of the tidal deformability parameter. These results show an improvement of a factor 2-75 with respect to earlier results using complementary datasets.

Keywords

Cite

@article{arxiv.2205.11221,
  title  = {Constraining $\Lambda$CDM cosmological parameters with Einstein Telescope mock data},
  author = {Matteo Califano and Ivan de Martino and Daniele Vernieri and Salvatore Capozziello},
  journal= {arXiv preprint arXiv:2205.11221},
  year   = {2023}
}

Comments

19 pages, 11 figures. To appear on MNRAS

R2 v1 2026-06-24T11:25:31.348Z