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A Large, Uniform Sample of X-Ray-emitting AGNs: Selection Approach and an Initial Catalog from the ROSAT All-Sky and Sloan Digital Sky Surveys

机译:大量统一的X射线发射AGN样本:选择方法和ROSAT全天和斯隆数字天空调查的初始目录

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Many open questions in X-ray astronomy are limited by the relatively small number of objects in uniform optically identified and observed samples, especially when rare subclasses are considered or when subsets are isolated to search for evolution or correlations between wavebands. We describe the initial results of a new program aimed to ultimately yield ~104 fully characterized X-ray source identifications—a sample about an order of magnitude larger than earlier efforts. The technique is detailed and employs X-ray data from the ROSAT All-Sky Survey (RASS) and optical imaging and spectroscopic follow-up from the Sloan Digital Sky Survey (SDSS); these two surveys prove to be serendipitously very well matched in sensitivity. As part of the SDSS software pipelines, optical objects in the SDSS photometric catalogs are automatically positionally cross-correlated with RASS X-ray sources. Then priorities for follow-on SDSS optical spectra of candidate counterparts are automatically assigned using an algorithm based on the known ratios of fx/fopt for various classes of X-ray emitters at typical RASS fluxes of ~10-13 ergs cm-2 s-1. SDSS photometric parameters for optical morphology, magnitude, and colors, plus FIRST radio information, serve as proxies for object class. Initial application of this approach to RASS/SDSS data from 1400 deg2 of sky provides a catalog of more than 1200 spectroscopically confirmed quasars and other AGNs that are probable RASS identifications. Most of these are new identifications, and only a few percent of the AGN counterparts are likely to be random superpositions. The magnitude and redshift ranges of the counterparts are very broad, extending over 15 m 21 and 0.03 z 3.6, respectively. Although most identifications are quasars and Seyfert 1 galaxies, a variety of other AGN subclasses are also sampled. Substantial numbers of rare AGN types are found, including more than 130 narrow-line Seyfert 1 galaxies and 45 BL Lac candidates. These early results already provide a very sizable set of source identifications, demonstrate the utility of the sample in multiwaveband investigations, and show the capability of the joint RASS/SDSS approach to efficiently proceed toward the largest homogeneously selected/observed sample of X-ray–emitting quasars and other kinds of AGNs.
机译:X射线天文学中的许多悬而未决的问题都受到统一的光学识别和观测样本中相对较少数量的物体的限制,尤其是在考虑稀有子类或分离子集以搜索波段之间的演化或相关性时。我们描述了一个新程序的初始结果,该程序旨在最终产生约104个完全特征化的X射线源识别,该示例大约比早期的工作大一个数量级。该技术已经过详细介绍,并使用了来自ROSAT全天空测量(RASS)的X射线数据以及来自斯隆数字天空测量(SDSS)的光学成像和光谱跟踪。事实证明,这两项调查在敏感性方面相吻合。作为SDSS软件管道的一部分,SDSS光度目录中的光学对象会自动与RASS X射线源在位置上相互关联。然后,根据已知的fx / fopt比率,在相应的RASS通量约为10-13 ergs cm-2 s-的典型RASS通量下,使用已知的fx / fopt比率,使用算法自动分配候选对等物的后续SDSS光谱的优先级。 1。用于光学形态,大小和颜色的SDSS光度参数,以及FIRST无线电信息,可作为对象类别的代理。这种方法对来自1400 deg2天空的RASS / SDSS数据的最初应用提供了1200多种经光谱确认的类星体和其他可能是RASS识别的AGN的目录。其中大多数是新的标识,只有少数AGN对应物可能是随机叠加。对应物的幅度和红移范围非常宽,分别超过15
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