Department of Physics, Syracuse University, Syracuse, NY, 13244, USA.
Computer, Computational, and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
Sci Data. 2019 Jun 3;6(1):81. doi: 10.1038/s41597-019-0086-6.
This paper presents a parameter estimation analysis of the seven binary black hole mergers-GW170104, GW170608, GW170729, GW170809, GW170814, GW170818, and GW170823-detected during the second observing run of the Advanced LIGO and Virgo observatories using the gravitational-wave open data. We describe the methodology for parameter estimation of compact binaries using gravitational-wave data, and we present the posterior distributions of the inferred astrophysical parameters. We release our samples of the posterior probability density function with tutorials on using and replicating our results presented in this paper.
本文利用引力波开放数据，对高级 LIGO 和 Virgo 观测站第二次观测运行期间探测到的七个二进制黑洞合并事件（GW170104、GW170608、GW170729、GW170809、GW170814、GW170818 和 GW170823）进行了参数估计分析。我们描述了使用引力波数据进行紧凑双星参数估计的方法，并给出了推断出的天体物理参数的后验分布。我们发布了后验概率密度函数样本，并提供了使用和复制本文中呈现的结果的教程。
