Gravitational Wave mergers as tracers of Large Scale Structures. (arXiv:2007.06905v4 [astro-ph.CO] UPDATED)

<a href="http://arxiv.org/find/astro-ph/1/au:+Libanore_S/0/1/0/all/0/1">S. Libanore</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Artale_M/0/1/0/all/0/1">M. C. Artale</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Karagiannis_D/0/1/0/all/0/1">D. Karagiannis</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Liguori_M/0/1/0/all/0/1">M. Liguori</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Bartolo_N/0/1/0/all/0/1">N. Bartolo</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Bouffanais_Y/0/1/0/all/0/1">Y. Bouffanais</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Giacobbo_N/0/1/0/all/0/1">N. Giacobbo</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Mapelli_M/0/1/0/all/0/1">M. Mapelli</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Matarrese_S/0/1/0/all/0/1">S. Matarrese</a>

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. 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.

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. 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.

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