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Investigating the impact of galaxies' compact binary hosting probability for gravitational-wave cosmology
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abstract
With the advent of future-generation interferometers a huge number of Gravitational Wave (GW) signals is expected to be measured without an electromagnetic counterpart. Although these signals do not allow a simultaneous measurement of the redshift and the luminosity distance, it is still possible to infer cosmological parameters. In this paper, we focus on the systematic biases that could arise from mismodeling the GW host probability when inferring the Hubble constant ($H_0$) with GW dark sirens jointly with galaxy catalogues. We discuss the case in which the GW host probability is a function of galaxies' luminosity and redshift as it has been predicted by state-of-the-art compact binary coalescences (CBCs) synthetic catalogues. We show that, in the limiting case in which the analysis is done with a complete galaxy catalog covering a footprint of $\sim 10~\rm {deg}^2$, mismatching the host probability in terms of galaxy's luminosity will introduce a bias on $H_0$. In this case, the magnitude of the bias will depend on the distribution of the Large-Scale Structure over the line-of-sight. Instead, in the limit of a complete wide-field of view galaxy catalog and GW events localized at O$({\rm Gpc})$ distance, mismatching the redshift dependence of the GW hosting probability is more likely to introduce a systematic bias.
Forward citations
Cited by 2 Pith papers
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Blinded Mock Data Challenge for Gravitational-Wave Cosmology-I: Assessing the Robustness of Methods Using Binary Black Holes Mass Spectrum
A blinded mock data challenge shows that ignoring a mild redshift evolution in binary black hole masses biases the gravitational-wave Hubble constant measurement by about 1.5 sigma at LIGO-Virgo-KAGRA O4 sensitivity.
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A robust cosmic standard ruler from the cross-correlations of galaxies and dark sirens
Cross-correlating dark siren distances with galaxy redshifts, the 'Peak Sirens' method traces the Hubble diagram, forecasting 7% H0 precision for LVK O5 and sub-percent for next-generation detectors.
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