TL;DR
This paper extends hierarchical Bayesian methods to include modified gravitational wave propagation effects, constrains the parameter 0 using GW data, and forecasts the impact on cosmological measurements with future LIGO/Virgo data.
Contribution
It introduces a novel approach to incorporate modified GW propagation into population and cosmological analyses, providing new constraints on 0 and forecasting future measurement precisions.
Findings
Constraints on 0 are 0=1.2^{+0.7}_{-0.7} with flat prior and 0=1.0^{+0.4}_{-0.8} with log prior.
Five-year data forecasts 0 measurement accuracy of 10-20%.
Biases in cosmological parameters occur if modified gravity is ignored.
Abstract
A joint hierarchical Bayesian analysis of the binary black hole (BBH) mass function, merger rate evolution and cosmological parameters can be used to extract information on both the cosmological and population parameters. We extend this technique to include the effect of modified gravitational wave (GW) propagation. We discuss the constraints on the parameter that describes this phenomenon (with in General Relativity, GR) using the data from the GWTC-3 catalog. We find the constraints with a flat prior on , and with a prior uniform in ( C.L., maximum posterior and HDI), which only rely on the presence of a feature in the BBH mass distribution around , and are robust to whether or not the event GW190521 is considered an outlier of the population. We then study in more…
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