发表机构
Università degli Studi di Padova; INFN, Sezione di Padova; INAF - Osservatorio Astronomico di Padova; Scuola Internazionale Superiore di Studi Avanzati; University of Trento; Ben-Gurion University of the Negev; Universität Heidelberg（帕多瓦大学; 意大利国家核物理研究所帕多瓦分部; 意大利国家天体物理研究所帕多瓦天文台; 国际高等研究院; 特伦托大学; 内盖夫本-古里安大学; 海德堡大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究利用引力波成团性统计，通过星系-引力波互相关区分双星形成机制的时间延迟与宿主环境特征，以打破模型简并。
AI 中文摘要
得益于已探测到的近400个引力波事件，我们目前能够把握黑洞质量、自旋和距离分布的基本特征。然而，测量精度的快速提升并不必然对应于对引力波源理论理解的深化，尤其是在当前自由参数数量显著大于黑洞种群推断属性数量的情境下。在本工作中，我们展示了如何通过互补的数据分析策略来逐步削减理论模型的景观，特别是通过研究引力波各向异性分布的统计特性。具体而言，我们展示了引力波成团性如何对每种双星形成机制的两个独特特征敏感：时间延迟分布和双星宿主性质。首先，我们考虑一个模型无关的场景，并展示不同时间延迟分布对引力波偏置的影响。然后，我们考虑一个现实场景，其中引力波事件来源于孤立双星演化或球状星团中的动力学过程，并研究引力波偏置如何对环境的特定性质具有独特敏感性。在这两种场景中，我们展示了星系与引力波星表之间的互相关如何能够区分具有不同时间延迟或源自特定形成通道的不同双星子群体的模型。
英文摘要
Thanks to the almost 400 gravitational wave events detected, we are currently able to grasp the fundamental features of black hole mass, spin, and distance distributions. However, such a fast increase in the precision of the measurements does not necessarily correspond to a better theoretical understanding of gravitational wave sources, especially in current scenarios where the number of free parameters is significantly larger than the number of inferred properties of the black hole population. In this work, we showcase how the landscape of theoretical models can be chipped away by complementary data-analysis strategies, in particular by studying the statistical properties of gravitational wave anisotropic distribution. Specifically, we show how gravitational wave clustering is sensitive to two unique features of each binary formation mechanism: the time-delay distribution and the properties of the binary hosts. First, we consider a model-agnostic scenario and show the impact that different time-delay distributions have on the gravitational wave bias. Then, we consider a realistic scenario where gravitational wave events are sourced either by isolated binary evolution or dynamical processes in globular clusters, and study how the gravitational wave bias is unique sensitive to the specific properties of the environment. In both scenarios, we show how the cross-correlation between galaxy and gravitational wave catalogs is able to distinguish between models with different time delays or with different binary sub-populations originated in specific formation channels.
Comments35 pages, 8 figures
