We have carried out an in-depth analysis of the capability of the upcoming space-based gravitational wave mission eLISA in addressing the Hubble tension. Considering a few well-known Cosmological parameterizations, we first found observational constraints using the latest datasets of CMB+BAO+SNIa, and used them to generate mock catalogs for eLISA. We then employed Fisher analysis,MCMC, and Machine Learning using Gaussian Processes on the simulated catalogs to forecast the future performance of eLISA on each model. We have further used Machine Learning to reconstruct the Hubble parameter for Einstein Telescope (ET). Our analysis confirms that both eLISA and ET would be able to constrain the Hubble parameter at the sub-percent level.
Read More: https://arxiv.org/abs/2301.12708, https://arxiv.org/abs/2303.05169
