Inference of the cosmological parameters from gravitational waves: application to second generation interferometers
Walter Del Pozzo

TL;DR
This paper develops a Bayesian inference framework to estimate cosmological parameters from gravitational wave data, demonstrating that tens of observations can constrain the Hubble constant to within 4-5% accuracy.
Contribution
It introduces a comprehensive Bayesian formalism that incorporates prior information and event-specific data for cosmological inference from gravitational waves.
Findings
Combining tens of GW observations constrains H_0 to 4-5% accuracy.
The method effectively integrates prior knowledge and event-specific data.
Application to simulated data shows promising results for cosmological measurements.
Abstract
The advanced world-wide network of gravitational waves (GW) observatories is scheduled to begin operations within the current decade. Thanks to their improved sensitivity, they promise to yield a number of detections and thus to open a new observational windows for astronomy and astrophysics. Among the scientific goals that should be achieved, there is the independent measurement of the value of the cosmological parameters, hence an independent test of the current cosmological paradigm. Due to the importance of such task, a number of studies have evaluated the capabilities of GW telescopes in this respect. However, since GW do not yield information about the source redshift, different groups have made different assumptions regarding the means through which the GW redshift can be obtained. These different assumptions imply also different methodologies to solve this inference problem.…
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