Reconstruction of the dark sectors' interaction: A model-independent inference and forecast from GW standard sirens

Interacting dark matter (DM) - dark energy (DE) models have been intensively investigated in the literature for their ability to fit various data sets as well as to explain some observational tensions persisting within the ?CDM cosmology. In this work, we employ the Gaussian processes (GP) algorithm to perform a joint analysis by using the geometrical cosmological probes such as Cosmic chronometers, Supernova Type Ia, Baryon Acoustic Oscillations, and the H0LiCOW lenses sample to infer a reconstruction of the coupling function between the dark components in a general framework, where the DE can assume a dynamical character via its equation of state. In addition to the joint analysis with these data, we simulate a catalog with standard siren events from binary neutron star mergers, within the sensitivity predicted by the Einstein Telescope, to reconstruct the dark sector coupling with more accuracy in a robust way. We find that the particular case, where w = -1 is fixed on the DE nature, has a statistical preference for an interaction in the dark sector at late times. In the general case, where w(z) is analyzed, we find no evidence for such dark coupling, and the predictions are compatible with the ?CDM paradigm. When the mock events of the standard sirens are considered to improve the kernel in GP predictions, we find a preference for an interaction in the dark sector at late times.

Automated summary

In this study, the Gaussian processes algorithm is used to perform a joint analysis of cosmological probes and standard siren events to reconstruct the coupling function between dark matter and dark energy. There is a statistical preference for an interaction in the dark sector at late times in a specific case, but no evidence for such dark coupling in the general case.