AI 中文总结
针对引力波暗标准汽笛宇宙学分析中星系表不完整问题，提出一种保留星系成团性的补全框架，比均匀近似更真实，提升宇宙学推断稳健性。
AI 中文摘要
我们提出一个框架，用于补全来自通量限制巡天的星系表，该框架在重建缺失星系种群的同时保留其成团性。这对于使用没有电磁对应体的引力波（GW）暗标准汽笛（如双黑洞并合，占引力波探测的大多数）的宇宙学分析尤为重要。随着引力波探测器探测距离的不断增加，由于巡天通量限制，星系表逐渐变得不完整。当前最先进的统计宿主识别方法通常通过假设缺失星系在共动体积中均匀分布来处理这种不完整性。虽然这种近似可以减轻由不完整性引起的偏差，但它忽略了宇宙网内星系的成团性。由于星系和引力波源都被预期追踪底层的大尺度结构，它们的空间分布是相关的，因此均匀重建在物理上不切实际，而我们的框架解决了这一缺陷。作为概念验证，我们将该方法应用于具有不同通量限制和观测选择函数的模拟星系表。我们的方法比常用的共动体积均匀近似提供了显著更真实的补全不完整星系表的结果，从而能够从引力波暗标准汽笛中进行更稳健的宇宙学推断。
英文摘要
We present a framework for completing galaxy catalogs from flux-limited surveys which reconstructs the missing galaxy population while preserving its clustering properties. This is particularly important for cosmological analyses using gravitational-wave (GW) dark sirens without electromagnetic counterparts, such as binary black hole mergers, which constitute the majority of GW detections. As GW detectors probe increasingly larger distances, galaxy catalogs become progressively incomplete owing to survey flux limits. Current state-of-the-art statistical host identification methods typically account for this incompleteness by assuming that the missing galaxies are uniformly distributed in comoving volume. While this approximation can mitigate biases due to incompleteness, it neglects the clustering of galaxies within the cosmic web. Since galaxies and GW sources are both expected to trace the underlying large-scale structure, their spatial distributions are correlated, making a homogeneous reconstruction physically unrealistic, a shortcoming which our framework addresses. As a proof of concept, we apply the method to simulated galaxy catalogs with different flux limits and observational selection functions. Our approach provides a significantly more realistic completion of incomplete galaxy catalogs than the commonly adopted homogeneous-in-comoving-volume approximation, enabling more robust cosmological inference from gravitational-wave dark sirens.
Comments11 pages, 6 figures
