arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2304.08046gr-qc
收藏

利用分箱高斯过程从引力波观测中对致密双星族群进行非参数推断

Non-parametric inference of the population of compact binaries from gravitational wave observations using binned Gaussian processes

Anarya Ray, Ignacio Magaña Hernandez, Siddharth Mohite, Jolien Creighton, Shasvath Kapadia

AI总结:

本文提出基于分箱高斯过程的数据驱动聚类框架,在极少函数形式假设下同时推断致密双星质量与红移分布及其相关性,并在模拟数据和GWTC-3真实数据上验证了方法的准确性和有效性。

摘要:

LIGO-Virgo-KAGRA探测器网络对多个致密双星并合事件的引力波观测,使我们能够推断致密双星在质量、自旋和红移等广泛范围内的底层分布。鉴于双黑洞质量谱中发现的新特征以及双星形成模型的不确定性,非参数族群推断已变得越来越流行。在这项工作中,我们开发了一个数据驱动的聚类框架,能够在存在显著测量不确定性的引力波数据中,同时识别致密双星成分质量分布中的特征以及相应红移分布中的特征,同时对这些分布的函数形式做出极少的假设。与大多数现有的非参数推断方案不同,我们的广义模型能够推断各种族群性质之间的相关性,例如质量分布本身形状随红移的演化。我们在模拟数据上测试了我们的模型,并展示了其重建成分质量和红移底层分布的准确性。我们还使用我们的模型重新分析了GWTC-3中来自公开LIGO-Virgo-KAGRA数据的事件,并将我们的结果与一些替代的参数化和非参数化族群推断方法的结果进行了比较。最后,我们在不对这些相关性的具体性质做任何假设的情况下,研究了GWTC-3中双黑洞族群(即LIGO-Virgo-KAGRA探测器网络在前三次观测运行中观测到的双黑洞)中质量与红移之间可能存在的相关性。

英文摘要:

The observation of gravitational waves from multiple compact binary coalescences by the LIGO-Virgo-KAGRA detector networks has enabled us to infer the underlying distribution of compact binaries across a wide range of masses, spins, and redshifts. In light of the new features found in the mass spectrum of binary black holes and the uncertainty regarding binary formation models, non-parametric population inference has become increasingly popular. In this work, we develop a data-driven clustering framework that can identify features in the component mass distribution of compact binaries simultaneously with those in the corresponding redshift distribution, from gravitational wave data in the presence of significant measurement uncertainties, while making very few assumptions on the functional form of these distributions. Our generalized model is capable of inferring correlations among various population properties such as the redshift evolution of the shape of the mass distribution itself, in contrast to most existing non-parametric inference schemes. We test our model on simulated data and demonstrate the accuracy with which it can re-construct the underlying distributions of component masses and redshifts. We also re-analyze public LIGO-Virgo-KAGRA data from events in GWTC-3 using our model and compare our results with those from some alternative parametric and non-parametric population inference approaches. Finally, we investigate the potential presence of correlations between mass and redshift in the population of binary black holes in GWTC-3 (those observed by the LIGO-Virgo-KAGRA detector network in their first 3 observing runs), without making any assumptions about the specific nature of these correlations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑