Gravitational Wave mergers as tracers of Large Scale Structures

Clustering measurements of Gravitational Wave (GW) mergers in Luminosity Distance Space can be used in the future as a powerful tool for Cosmology. We consider tomographic measurements of the Angular Power Spectrum of mergers both in an Einstein Telescope-like detector network and in some more advanced scenarios (more sources, better distance measurements, better sky localization). We produce Fisher forecasts for both cosmological (matter and dark energy) and merger bias parameters. Our fiducial model for the number distribution and bias of GW events is based on results from hydrodynamical simulations. The cosmological parameter forecasts with Einstein Telescope are less powerful than those achievable in the near future via galaxy clustering observations with, e.g., Euclid. However, in the more advanced scenarios we see significant improvements. Moreover, we show that bias can be detected at high statistical significance. Regardless of the specific constraining power of different experiments, many aspects make this type of analysis interesting anyway. For example, compact binary mergers detected by Einstein Telescope will extend up to very high redshifts, particularly for binary black holes. Furthermore, Luminosity Distance Space Distortions in the GW analysis have a different structure with respect to Redshift-Space Distortions in galaxy catalogues. Finally, measurements of the bias of GW mergers can provide useful insight into their physical nature and properties.

Automated summary

Clustering measurements of Gravitational Wave (GW) mergers in Luminosity Distance Space can be used as a powerful tool for Cosmology in the future. By considering tomographic measurements of the Angular Power Spectrum of mergers in different detector networks, Fisher forecasts for cosmological and merger bias parameters can be produced, showing significant improvements in more advanced scenarios. Regardless of the specific constraining power of different experiments, this type of analysis presents interesting insights into the physical nature and properties of GW mergers.