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arXiv 0810.3567astro-ph
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八维中红外/光学贝叶斯类星体选择

Eight-Dimensional Mid-Infrared/Optical Bayesian Quasar Selection

Gordon T. Richards, Rajesh P. Deo, Mark Lacy, Adam D. Myers, Robert C. Nichol, Nadia L. Zakamska, Robert J. Brunner, W. N. Brandt, Alexander G. Gray, John K. Pa… 展开作者

Gordon T. Richards, Rajesh P. Deo, Mark Lacy, Adam D. Myers, Robert C. Nichol, Nadia L. Zakamska, Robert J. Brunner, W. N. Brandt, Alexander G. Gray, John K. Parejko, Andrew Ptak, Donald P. Schneider, Lisa J. Storrie-Lombardi, Alexander S. Szalay

摘要:

我们探讨多维,多波长选择类星体从中红外(MIR)加上光学数据,特别是从斯皮策-IRAC和斯隆数字巡天(SDSS)。我们采用现代统计技术相结合的斯皮策MIR和SDSS光学数据,允许多达8-D的类星体的颜色选择。使用贝叶斯选择方法,我们编目5546类星体候选人的8.0微米的深度为56 uJy的面积约24平方米。这些候选者中的约70%不能通过将相同的贝叶斯算法单独应用于4色SDSS光学数据来识别。我们的选择恢复了该地区97.7%的已知1型类星体,大大提高了识别3.5<z<5类星体的有效性。即使只使用两个最短波长的IRAC带通,也可以使用我们的贝叶斯技术来选择具有97%完整性和低至10%污染的类星体。该样本的光度红移准确度为93.6%(Delta Z +/-0.3),当排除两个最红的MIR波段时,保持大致恒定。虽然我们的方法旨在寻找1型(未遮蔽)类星体,但多达1200个物体是2型(遮蔽)类星体候选者。将深光学成像数据与深中红外数据相结合,可以选择大量超过类星体光度函数(QLF)峰值至少z~4的类星体。这样的样本将限制QLF的形状,并使类星体聚类研究在最大范围的红移和光度迄今为止,产生显着的收益,我们的理解类星体和星系的演化。

英文摘要:

We explore the multidimensional, multiwavelength selection of quasars from mid-IR (MIR) plus optical data, specifically from Spitzer-IRAC and the Sloan Digital Sky Survey (SDSS). We apply modern statistical techniques to combined Spitzer MIR and SDSS optical data, allowing up to 8-D color selection of quasars. Using a Bayesian selection method, we catalog 5546 quasar candidates to an 8.0 um depth of 56 uJy over an area of ~24 sq. deg; ~70% of these candidates are not identified by applying the same Bayesian algorithm to 4-color SDSS optical data alone. Our selection recovers 97.7% of known type 1 quasars in this area and greatly improves the effectiveness of identifying 3.5<z<5 quasars. Even using only the two shortest wavelength IRAC bandpasses, it is possible to use our Bayesian techniques to select quasars with 97% completeness and as little as 10% contamination. This sample has a photometric redshift accuracy of 93.6% (Delta Z +/-0.3), remaining roughly constant when the two reddest MIR bands are excluded. While our methods are designed to find type 1 (unobscured) quasars, as many as 1200 of the objects are type 2 (obscured) quasar candidates. Coupling deep optical imaging data with deep mid-IR data could enable selection of quasars in significant numbers past the peak of the quasar luminosity function (QLF) to at least z~4. Such a sample would constrain the shape of the QLF and enable quasar clustering studies over the largest range of redshift and luminosity to date, yielding significant gains in our understanding of quasars and the evolution of galaxies.

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