论文标题
X射线发光类星体的聚类
The Clustering of X-ray Luminous Quasars
论文作者
论文摘要
活性银河核(AGN)的聚类揭示了其典型的大(MPC尺度)环境,这可以限制超质量黑洞的生长和演变。在这里,我们在黑洞生长的峰值时期周围测量了X射线选择的AGN在82x和XMM-XXL-NORTH调查中的聚类,以研究光度对大规模AGN环境的依赖性。我们计算两个亮度箱中AGN的自动相关函数,$ 10^{43} \ leq l_x <10^{44.5} $ erg s $^{ - 1} $ at $ z \ sim \ sim 0.8 $和$ l_x \ geq \ geq \ geq 10^{44.5]使用三种不同方法考虑了源的红移分布。我们的结果表明,虽然较不发光的样品具有推断的典型光环质量,该质量比更发光的AGN小,但宿主的光晕质量可能比以前的工作所建议的依赖亮度少。为了关注发光样品,我们计算了$ \ sim 10^{13} $ m $ _ {\ odot} 〜h^{ - 1} $的典型主机光环质量,该质量类似于以前的中度露光X射线AGN的测量值,并且比相似的luminosity和Redshifts和Redshifts类似的光学Quasars的值明显更大。我们建议,不同AGN选择技术之间的聚类差异主要由选择偏差,而不是由于对AGN光度的依赖。我们讨论从大规模偏见得出的光环质量中推断AGN触发机制的局限性。
The clustering of active galactic nuclei (AGN) sheds light on their typical large (Mpc-scale) environments, which can constrain the growth and evolution of supermassive black holes. Here we measure the clustering of luminous X-ray-selected AGN in the Stripe 82X and XMM-XXL-North surveys around the peak epoch of black hole growth, in order to investigate the dependence of luminosity on large-scale AGN environment. We compute the auto-correlation function of AGN in two luminosity bins, $10^{43}\leq L_X<10^{44.5}$ erg s$^{-1}$ at $z\sim 0.8$ and $L_X\geq 10^{44.5}$ erg s$^{-1}$ at $z\sim 1.8$, and calculate the AGN bias taking into account the redshift distribution of the sources using three different methods. Our results show that while the less luminous sample has an inferred typical halo mass that is smaller than for the more luminous AGN, the host halo mass may be less dependent on luminosity than suggested in previous work. Focusing on the luminous sample, we calculate a typical host halo mass of $\sim 10^{13}$ M$_{\odot}~h^{-1}$, which is similar to previous measurements of moderate-luminosity X-ray AGN and significantly larger than the values found for optical quasars of similar luminosities and redshifts. We suggest that the clustering differences between different AGN selection techniques are dominated by selection biases, and not due to a dependence on AGN luminosity. We discuss the limitations of inferring AGN triggering mechanisms from halo masses derived by large-scale bias.