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首页> 外文期刊>The Astrophysical journal >The Deep X-Ray Radio Blazar Survey. I. Methods and First Results*
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The Deep X-Ray Radio Blazar Survey. I. Methods and First Results*

机译:深度X射线无线电Blazar调查。一,方法和初步结果*

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We have undertaken a survey, the Deep X-Ray Radio Blazar Survey (DXRBS), of archived, pointed ROSAT Position Sensitive Proportional Counter data for blazars by correlating the ROSAT WGACAT database with several publicly available radio catalogs, restricting our candidate list to serendipitous flat radio spectrum sources (αr ≤ 0.70, where Sν ∝ ν). We discuss our survey methods, identification procedure, and first results. Our survey is found to be ~95% efficient at finding flat-spectrum radio-loud quasars (FSRQs; 59 of our first 85 identifications) and BL Lacertae objects (22 of our first 85 identifications), a figure that is comparable to or greater than that achieved by other radio and X-ray survey techniques. The identifications presented here show that all previous samples of blazars (even when taken together) did not representatively survey the blazar population, missing critical regions of (LX, LR) parameter space within which large fractions of the blazar population lie. Particularly important is the identification of a large population of FSRQs (25% of DXRBS FSRQs) with ratios of X-ray to radio luminosity 10-6 (αrx 0.78). In addition, as a result of our greater sensitivity, the DXRBS has already more than doubled the number of FSRQs in complete samples with 5 GHz (radio) luminosities between 1031.5 and 1033.5 ergs s-1 Hz-1, and fills in the region of parameter space between X-ray–selected and radio-selected samples of BL Lac objects. The DXRBS is the very first sample to contain statistically significant numbers of blazars at low luminosities, approaching what should be the lower end of the FSRQ luminosity function.
机译:我们通过将ROSAT WGACAT数据库与几个公共可用的无线电目录相关联,对已存档的,针对尖锐的ROSAT的ROSAT位置敏感比例计数器数据进行了深层X射线无线电爆炸调查(DXRBS),将我们的候选清单限制为偶然的单位无线电频谱源(αr≤0.70,其中Sννν)。我们讨论了我们的调查方法,鉴定程序和初步结果。我们的调查被发现在找到平面无线电波类星体(FSRQ;我们的前85个识别中的59个)和BL Lacertae对象(我们的前85个识别中的22个)中,效率约为95%。比其他无线电和X射线勘测技术所实现的要好。此处显示的标识表明,以前的所有blazar样本(即使一起使用)也没有代表性地调查blazar种群,缺少了(LX,LR)参数空间的关键区域,其中大部分blazar种群位于其中。特别重要的是要识别大量的FSRQ(占DXRBS FSRQ的25%),其X射线与射线的发光度之比为10-6(αrx0.78)。此外,由于我们的更高灵敏度,DXRBS在具有51.5 GHz(无线电)光度在1031.5至1033.5 ergs s-1 Hz-1之间的5 GHz(无线电)亮度的完整样本中,FSRQ的数量已增加了一倍以上,并填充了BL Lac对象的X射线选择和无线电选择的样本之间的参数空间。 DXRBS是第一个在低发光度上包含统计学上显着数量的酒渣的样品,接近FSRQ发光度函数的下限。

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