Current and future constraints on cosmology and modified gravitational wave friction from binary black holes
arXiv:2202.00025 · doi:10.1088/1475-7516/2022/09/012
Abstract
Gravitational wave (GW) standard sirens are well-established probes with which one can measure cosmological parameters, and are complementary to other probes like the cosmic microwave background or supernovae standard candles. Here we focus on dark GW sirens, specifically binary black holes (BBHs) for which there is only GW data. Our approach relies on the assumption of a source frame mass model for the BBH distribution, and we consider four models that are representative of the BBH population observed so far. In addition to inferring cosmological and mass model parameters, we use dark sirens to test modified gravity theories. These theories often predict different GW propagation equations on cosmological scales, leading to a different GW luminosity distance which in some cases can be parametrized by variables and . General relativity (GR) corresponds to . We perform a joint estimate of the population parameters governing mass, redshift, the variables characterizing the cosmology, and the modified GW luminosity distance. We use data from the third LVK observation run and find - for the four mass models and for three SNR cuts - that GR is consistently the preferred model to describe all observed BBH GW signals. Furthermore, all modified gravity parameters have posteriors that are compatible with the values predicted by GR at the 90% confidence interval. We show that there are strong correlations between cosmological, astrophysical and modified gravity parameters. If GR is the correct theory of gravity, and assuming narrow priors on the cosmological parameters, we forecast an uncertainty of the modified gravity parameter of 51% with detections at O4-like sensitivities, and of 20% with an additional detections at O5-like sensitivity. We also consider how these forecasts depend on the current uncertainties of the BBH population.
arXiv comment43 pages
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