Simulating the recovery of tidal parameters from neutron-star mergers with future ground-based gravitational-wave detectors

Gravitational-wave observatories of merging neutron-stars are expected to measure multiple neutron-star mergers as LIGO and Virgo reach design sensitivity. Next-generation facilities like Cosmic Explorer would lead to significant improvement in the recovery of source properties. In this work, we explore an artificial population of neutron-star mergers with full parameter estimation runs using the bilby Bayesian inference library. We focus on the implications for recovering tidal parameters across different source masses, which can be compared with the predictions of a given equation of state for neutron-star matter. We show how prior assumptions about the mass ratio and the spin distribution of the component stars will affect the inferred tidal parameters in Advanced LIGO/Virgo. We also explore the impact of the sampling frequency and low-frequency cutoff on the recovery of astrophysical parameters. We then show how the impact of these choices is reduced when interpreting the same sources measured with Cosmic Explorer sensitivity.