Deep 1.1 mm-wavelength imaging of the GOODS-S field by AzTEC/ASTE ― I. Source catalogue and number counts
Deep 1.1 mm-wavelength imaging of the GOODS-S field by AzTEC/ASTE ― I. Source catalogue and number counts
复制标题
DOI：
10.1111/j.1365-2966.2010.16644.x
复制
发表时间：
2010-03
影响因子：
4.8
通讯作者：
K. Scott;K. Scott;M. Yun;G. Wilson;J. Austermann;E. Aguilar;I. Aretxaga;H. Ezawa;D. Ferrusca;B. Hatsukade;D. Hughes;D. Iono;M. Giavalisco;R. Kawabe;K. Kohno;P. Mauskopf;T. Oshima;T. Perera;J. Rand;J. Rand;Y. Tamura;T. Tosaki;M. Velázquez;C. Williams;M. Zeballos
中科院分区：
文献类型：
--
作者：
K. Scott;K. Scott;M. Yun;G. Wilson;J. Austermann;E. Aguilar;I. Aretxaga;H. Ezawa;D. Ferrusca;B. Hatsukade;D. Hughes;D. Iono;M. Giavalisco;R. Kawabe;K. Kohno;P. Mauskopf;T. Oshima;T. Perera;J. Rand;J. Rand;Y. Tamura;T. Tosaki;M. Velázquez;C. Williams;M. Zeballos
我们展示了使用阿塔卡马亚毫米望远镜实验上的 AzTEC 相机拍摄的南大天文台起源深巡 (GOODS-S) 1.1 毫米模糊限制地图的第一个结果。我们以 0.48 0.73mJy/光束对 270 弧分 2 的视场进行了 1° 深度的成像，这使得这是有史以来在毫米波长下实现的最深的空白视场勘测之一。尽管按照传统标准，我们的 GOODS-S 地图由于大量微弱的底层源而极其混乱，但我们通过模拟证明了我们的源识别和计数分析是稳健的，并且本文讨论的技术与其他深度混乱的调查相关。我们在这个均匀覆盖的区域内总共发现了 41 个信噪比 S/N > 3.5 的尘埃星爆星系，其中只有两个预计是错误检测，另外七个强大的候选源位于地图的噪声较大（1×1mJy/光束）外部区域。我们使用两种不同的方法从该场导出 1.1 毫米的计数：波动或“P(d)”分析和半贝叶斯技术，并发现这两种方法给出了一致的结果。我们的数据非常适合 Schechter 函数模型
We present the first results from a 1.1mm confusion-limited map of the Great Observatories Origins Deep Survey-South (GOODS-S) taken with the AzTEC camera on the Atacama Submillimeter Telescope Experiment. We imaged a 270arcmin 2 field to a 1� depth of 0.48 0.73mJy/beam, making this one of the deepest blank-field surveys at mm-wavelengths ever achieved. Although by traditional standards our GOODS-S map is extremely confused due to a sea of faint underlying sources, we demonstrate through simulations that our source identification and number counts analyses are robust, and the techniques discussed in this paper are relevant for other deeply confused surveys. We find a total of 41 dusty starburst galaxies with signal to noise ratios S/N > 3.5 within this uniformly covered region, where only two are expected to be false detections, and an additional seven robust source candidates located in the noisier (1� � 1mJy/beam) outer region of the map. We derive the 1.1mm number counts from this field using two different methods: a fluctuation or “P(d)” analysis and a semi-Bayesian technique, and find that both methods give consistent results. Our data are well-fit by a Schechter function model