arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2102.12495astro-ph.HE
收藏

GWTC-2之后双星黑洞形成通道的新认识:年轻星团与孤立双星

New insights on binary black hole formation channels after GWTC-2: young star clusters versus isolated binaries

Yann Bouffanais, Michela Mapelli, Filippo Santoliquido, Nicola Giacobbo, Ugo N. Di Carlo, Sara Rastello, M. Celeste Artale, Giuliano Iorio

摘要:

随着最近发布的第二个引力波瞬变目录(GWTC-2),其中引入了数十个新的探测,我们正处于引力波天文学的转折点,因为我们现在能够直接推断对致密物体天体物理种群的约束。在这里,我们解决了理解二元黑洞(BBH)合并的起源的紧迫问题。为此,我们利用国家的最先进的人口合成和N体模拟,代表两个不同的形成渠道:BBH形成的领域(孤立通道)和年轻的星团(动力学通道)。然后,我们使用贝叶斯分层方法来推断混合分数$f$的分布,与$f=0$($f=1$)在纯动态(孤立)通道。%,控制孤立和动态BBH的比例。我们探讨了模型的额外的超参数的影响,如金属丰度$σ_{\text{Z}}$和参数$σ_{\text{sp}}$的传播,描述自旋幅度的分布。我们发现,当$f=0.26$和$σ_{\text{Z}}=0.4$。具有较高自旋幅度的模型倾向于强烈支持动态形成的BBH(如果是$σ_{\text{sp}}=0.3$,则为$f\le{}0.1$)。此外,我们表明,超参数控制的速率的模型,如$σ_{\rm Z}$,有很大的影响,从$0.18$到$0.43$的混合分数的推断,当我们增加$σ_{\text{Z}}$从0.2到0.6,对于一个固定值的$σ_{\text{sp}}=0.1$。最后,我们目前的一组观测结果更好地描述了两个形成通道的组合,作为一个纯粹的动力学场景被排除在$99\%$可信区间,除了当自旋幅度高。

英文摘要:

With the recent release of the second gravitational-wave transient catalogue (GWTC-2), which introduced dozens of new detections, we are at a turning point of gravitational wave astronomy, as we are now able to directly infer constraints on the astrophysical population of compact objects. Here, we tackle the burning issue of understanding the origin of binary black hole (BBH) mergers. To this effect, we make use of state-of-the-art population synthesis and N-body simulations, to represent two distinct formation channels: BBHs formed in the field (isolated channel) and in young star clusters (dynamical channel). We then use a Bayesian hierarchical approach to infer the distribution of the mixing fraction $f$, with $f=0$ ($f=1$) in the pure dynamical (isolated) channel. %that controls the proportion of isolated and dynamical BBHs. We explore the effects of additional hyper-parameters of the model, such as the spread in metallicity $σ_{\text{Z}}$ and the parameter $σ_{\text{sp}}$, describing the distribution of spin magnitudes. We find that the dynamical model is slightly favoured with a median value of $f=0.26$, when $σ_{\text{sp}}=0.1$ and $σ_{\text{Z}}=0.4$. Models with higher spin magnitudes tend to strongly favour dynamically formed BBHs ($f\le{}0.1$ if $σ_{\text{sp}}=0.3$). Furthermore, we show that hyper-parameters controlling the rates of the model, such as $σ_{\rm Z}$, have a large impact on the inference of the mixing fraction, which rises from $0.18$ to $0.43$ when we increase $σ_{\text{Z}}$ from 0.2 to 0.6, for a fixed value of $σ_{\text{sp}}=0.1$. Finally, our current set of observations is better described by a combination of both formation channels, as a pure dynamical scenario is excluded at the $99\%$ credible interval, except when the spin magnitude is high.

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。

↑