论文标题
探测具有重力波的超质量黑洞二进制合并的延迟时间
Probing the Delay Time of Supermassive Black Hole Binary Mergers With Gravitational Waves
论文作者
论文摘要
由于银河合并而预计将合并超大质量的黑洞二进制文件，但是这些二进制文件的详细进化路径和基础合并机制仍然受到大型理论不确定性的影响。在这项工作中，我们建议将超级质量黑洞二进制合并事件的（未来）引力波测量与来自星系调查/宇宙学模拟的星系合并率分布，以推断二元合并的延迟时间，作为二进制量的延迟时间。延迟时间编码有关二进制进化的关键信息，该信息可用于测试各种演化模型的预测。借助超大质量黑洞二进制合并事件的模拟数据集，我们讨论了如何使用贝叶斯模型选择方法来推断使用层次贝叶斯推理和测试演化模型的延迟时间分布。在分层贝叶斯推断和贝叶斯模型选择中，也考虑了天体物理模型的不确定性。
Merging supermassive black hole binaries is expected as a consequence of galaxy mergers, yet the detailed evolution path and underlying merging mechanisms of these binaries are still subject to large theoretical uncertainties. In this work, we propose to combine the (future) gravitational wave measurements of supermassive black hole binary merger events with the galaxy merger rate distributions from galaxy surveys/cosmological simulations, to infer the delay time of binary mergers, as a function of binary mass. The delay time encodes key information about binary evolution, which can be used to test the predictions of various evolution models. With a Mock data set of supermassive black hole binary merger events, we discuss how to infer the distribution of delay time with hierarchical Bayesian inference and test evolution models with the Bayesian model selection method. The astrophysical model uncertainties are also considered in the hierarchical Bayesian inference and Bayesian model selection.
