论文标题

Ligo Black Hole质量功能的离群值来自致密簇中的凝结

Outliers in the LIGO Black Hole Mass Function from Coagulation in Dense Clusters

论文作者

Flitter, Jordan, Muñoz, Julian B., Kovetz, Ely D.

论文摘要

高级LIGO O3A RUN目录最近已发表,其中包括几个具有意外质量特性的事件,包括在下部和上部质量间隙中具有个别质量的合并,以及在二进制组件之间具有异常小的质量比率的合并。在这里,我们会接受这些异常值是在球状簇的密集环境中黑洞或中子星的分层合并的结果。我们使用凝血方程来研究典型集群中黑洞质量功能的演变。我们的处方使我们能够监视各种全局数量随时间变化的变化,例如集群中的总质量和紧凑对象的数量,其总合并率以及通过失控过程形成中间质量黑洞的概率。通过考虑LIGO观察偏差,我们预测了合并事件分布相对于各种变量(例如个体质量M1和M2),其比率Q和RedShift Z,并将我们的预测与已发布的O3A数据进行比较。我们研究这些分布如何取决于合并率和弹出参数,并为使用O5运行的未来数据集对我们的模型参数放置(紧密)约束的预测。最后,我们还考虑存在一个静态通道,而没有凝结的合并事件以及动态通道并存,发现两者可以仅根据与未来的O5数据的合并质量分布来区分。

The advanced LIGO O3a run catalog has been recently published, and it includes several events with unexpected mass properties, including mergers with individual masses in the lower and upper mass gaps, as well as mergers with unusually small mass ratios between the binary components. Here we entertain the possibility that these outliers are the outcome of hierarchical mergers of black holes or neutron stars in the dense environments of globular clusters. We use the coagulation equation to study the evolution of the black hole mass function within a typical cluster. Our prescription allows us to monitor how various global quantities change with time, such as the total mass and number of compact objects in the cluster, its overall merger rate, and the probability to form intermediate-mass black holes via a runaway process. By accounting for the LIGO observational bias, we predict the merger event distributions with respect to various variables such as the individual masses M1 and M2, their ratio q, and redshift z, and we compare our predictions with the published O3a data. We study how these distributions depend on the merger-rate and ejections parameters and produce forecasts for the (tight) constraints that can be placed on our model parameters using the future dataset of the O5 run. Finally, we also consider the presence of a static channel with no coagulation producing merger events alongside the dynamic channel, finding that the two can be distinguished based solely on the merger mass distribution with future O5 data.

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