论文标题
从X射线到广播的商品-S/HUDF中的AGN选择和人口统计
AGN Selection and Demographics in GOODS-S/HUDF from X-ray to Radio
论文作者
论文摘要
我们提出了从X射线到无线电的商品-S/HUDF地区AGN的全面人口普查，涵盖了被遮盖的人群和不可消除的人群。这项工作包括对源的光学到中-IR SED的强大分析可变性。我们总共报告了$ \ sim $ 900 agns，$ \ sim $ 170 Arcmin $^2 $ 3D-HST GOODS-S-SPORPINT，它使以前的X射线样本中确定的AGN数字翻了一番，$ \ sim $ \ sim $ 26 \％\％\％\％\％\％\％\％\％\％\％\％\％。通过来自不同选择方法的AGN人口统计数据的摘要，我们发现，尽管Goods-S/HUDF的数据深度很高，但没有一个频段或技术即将选择一个完整的AGN样本。我们估计各种方法的产率，并探索不完整的原因。我们表征了统计特性，例如AGN样本在该领域中的源数密度，晦涩的比例和光度函数，并讨论它们的直接含义。我们还提供了对即将进行的JWST调查可能发现的AGN样本的一些定性预测。
We present a comprehensive census of the AGNs in the GOODS-S/HUDF region from the X-ray to the radio, covering both the obscured and unobscured populations. This work includes a robust analysis of the source optical-to-mid-IR SEDs featuring (semi-)empirical AGN and galaxy dust emission models and Baysian fitting techniques, ultra-deep VLA 3 and 6 GHz observations, and an integrated analysis of various AGN selection techniques, including X-ray properties, UV-to-MIR SED analysis, optical spectral features, mid-IR colors, radio loudness and spectral slope, and AGN variability. In total, we report $\sim$900 AGNs over the $\sim$170 arcmin$^2$ 3D-HST GOODS-S footprint, which has doubled the AGN number identified in the previous X-ray sample with $\sim$26\% of our sample undetected in the deepest Chandra image. With a summary of AGN demographics from different selection methods, we find that no one single band or technique comes close to selecting a complete AGN sample despite the great depth of the data in GOODS-S/HUDF. We estimate the yields of various approaches and explore the reasons for incompleteness. We characterize the statistical properties, such as source number density, obscuration fraction and luminosity function of the AGN sample in this field and discuss their immediate implications. We also provide some qualitative predictions of the AGN sample that might be discovered by the upcoming JWST surveys.
