论文标题
在黑暗中跳舞:检测遥远原始黑洞的人群
Dancing in the dark: detecting a population of distant primordial black holes
论文作者
论文摘要
原始黑洞(PBHS)是由于小规模过度衰减的崩溃而在早期宇宙中形成的紧凑物体。如果可以将信号与天体物理黑洞合并所产生的信号区分开,则可以从对PBH合并发出的重力波(GWS)的观察中检测到它们的存在。在这项工作中,我们预测了爱因斯坦望远镜(提议的第三代GW天文台)的能力,以识别和衡量遥远PBH的亚较大人群的丰度,使用了两个人群的红移进化的差异。我们仔细地对合并率进行建模,并生成从爱因斯坦望远镜观察到的GW信号获得的亮度距离和误差的逼真的模拟目录。我们使用两种独立的统计方法来分析模拟数据,发现,通过我们更强大,基于可能性的方法,PBH的丰度小于$ f_ \ mathrm {pbh} \ times 10^{ - 6} $($ f_ \ \ m atrm {pbh} $ f_ \ mathrm {pbh} = 0 $在$3σ$的水平上,一年(十年)观察爱因斯坦望远镜的运行。我们的模拟数据生成代码Darksirens是快速,易于扩展且在GitLab上公开可用的。
Primordial black holes (PBHs) are compact objects proposed to have formed in the early Universe from the collapse of small-scale over-densities. Their existence may be detected from the observation of gravitational waves (GWs) emitted by PBH mergers, if the signals can be distinguished from those produced by the merging of astrophysical black holes. In this work, we forecast the capability of the Einstein Telescope, a proposed third-generation GW observatory, to identify and measure the abundance of a subdominant population of distant PBHs, using the difference in the redshift evolution of the merger rate of the two populations as our discriminant. We carefully model the merger rates and generate realistic mock catalogues of the luminosity distances and errors that would be obtained from GW signals observed by the Einstein Telescope. We use two independent statistical methods to analyse the mock data, finding that, with our more powerful, likelihood-based method, PBH abundances as small as $f_\mathrm{PBH} \approx 7 \times 10^{-6}$ ($f_\mathrm{PBH} \approx 2\times10^{-6}$) would be distinguishable from $f_\mathrm{PBH} = 0$ at the level of $3σ$ with a one year (ten year) observing run of the Einstein Telescope. Our mock data generation code, darksirens, is fast, easily extendable and publicly available on GitLab.