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.

中文翻译：

---

不完全性无关紧要：从二元黑洞-星系互相关推断 H 0

我们展示了引力波标准警报器和具有已知红移的星系之间的角聚类如何允许推断哈勃常数，而不管这些警报器中的任何一个的宿主星系是否存在于星系目录中。我们首次在具有 Advanced LIGO 和 Advanced Virgo 灵敏度的三探测器网络中对来自双黑洞的引力波信号进行真实模拟，从而证明了这一点。我们表明，对于这样的网络，即使 100% 不完整，也可以使用互相关技术以 90% 置信度以小于 10% (2%) 的精度推断哈勃参数目录，其中不包含任何引力波事件的宿主。我们将我们的方法与当前用于从真实数据推断哈勃参数的最先进技术进行比较。我们认为，如果未明确使用聚类信息，则从真实数据中推断出的 $H_0$ 预计将优先。