论文标题
二进制黑洞质量分布中结构的出现
The Emergence of Structure in the Binary Black Hole Mass Distribution
论文作者
论文摘要
我们使用Ligo和处女座观察到的二进制黑洞合并事件的重力波信号来重建合并黑洞的种群的潜在质量和自旋分布。我们使用混合模型框架Vamana（Tiwari 2020）使用GWTC-2中的观测值重建了种群，在前两个观察过程中发生的GWTC-2和第三次跑步的上半场（O1，O2和O3A）。我们的分析确定了观察到的种群的chirp质量分布中的结构。具体而言，我们在8、14、26和45 m的chirp质量分布中识别峰值，以及组件质量分布中的互补结构，质量超过9、16、16、30和57 m_。有趣的是，对于这两种分布，随后的峰位置都被大约两倍的百分比隔开，并且缺乏合并的呼吸质量为10-12 m。多个峰的出现是层次合并方案的特征，当时由于黑洞质量群的差异较高，因此在较高的峰值上出现了较高的黑色峰值，因此，黑洞质量较高的是黑人峰的较高的黑色峰值，因此，黑色峰值越来越黑色。但是，在我们目前尚未观察到的情况下，还可以预测交叉生成合并峰和高旋转的观察结果。由于观察量少量，提出的结果在测量准确性方面受到限制，但如果通过未来的重力波观测证实，这些特征具有深远的影响。
We use the gravitational wave signals from binary black hole merger events observed by LIGO and Virgo to reconstruct the underlying mass and spin distributions of the population of merging black holes. We reconstruct the population using the mixture model framework VAMANA (Tiwari 2020) using observations in GWTC-2 occurring during the first two observing runs and the first half of the third run (O1, O2, and O3a). Our analysis identifies a structure in the chirp mass distribution of the observed population. Specifically, we identify peaks in the chirp mass distribution at 8, 14, 26, and 45 M and a complementary structure in the component mass distribution with an excess of black holes at masses of 9, 16, 30 and 57 M_. Intriguingly, for both the distributions, the location of subsequent peaks are separated by a factor of around two and there is a lack of mergers with chirp masses of 10-12 M. The appearance of multiple peaks is a feature of a hierarchical merger scenario when, due to a gap in the black-hole mass spectrum, a pile-up occurs at the first peak followed by mergers of lower mass black-holes to hierarchically produce higher mass black-holes. However, cross-generation merger peaks and observations with high spins are also predicted to occur in such a scenario that we are not currently observing. The results presented are limited in measurement accuracy due to small numbers of observations but if corroborated by future gravitational wave observations these features have far-reaching implications.
