论文标题
不完整无关紧要：从BBH-Galaxy交叉相关的推论$ H_0 $
Incompleteness Matters Not: Inference of $H_0$ from BBH-galaxy cross-correlations
论文作者
论文摘要
我们展示了重力波标准警报器与带有已知红移的星系之间的角簇如何推断哈勃常数，而不管它们是否存在于星系目录中的任何这些警报器的宿主星系。我们首次通过对具有高级LIGO和高级处女座敏感性的三端黑洞的重力波信号进行了逼真的模拟。我们表明，使用这样的网络，可以使用互相关技术来推断哈勃参数的精度低于10％（2％），即使有50（500）个来源，即使使用100％不完整的目录，该参数不包含重力波动事件的任何宿主。我们将我们的方法与用于从真实数据推理的当前最新技术进行了比较。我们认为，如果未明确使用群集信息，则预计从实际数据中推断$ H_0 $的推断将是事先主导的。
We show how the angular clustering between gravitational-wave standard sirens and galaxies with known redshifts allows an inference of the Hubble constant, regardless of whether the host galaxies of any of these sirens are present in the galaxy catalog. We demonstrate this for the first time with realistic simulations of gravitational-wave signals from binary black holes in a three-detector network with Advanced LIGO and Advanced Virgo sensitivities. We show that with such a network, the cross-correlation technique can be used to infer the Hubble parameter with a precision of less than 10% (2%) at 90% confidence with 50 (500) sources, even with a 100% incomplete catalog, which does not contain the hosts of any of the gravitational-wave events. We compare our method with the current state-of-the-art techniques used for the inference of the Hubble parameter from real data. We argue that, if the clustering information is not used explicitly, the inference of $H_0$ from real data is expected to be prior-dominated.
