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首页> 外文期刊>The Astrophysical journal >EXPLORING THE VARIABLE SKY WITH LINEAR. I. PHOTOMETRIC RECALIBRATION WITH THE SLOAN DIGITAL SKY SURVEY
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EXPLORING THE VARIABLE SKY WITH LINEAR. I. PHOTOMETRIC RECALIBRATION WITH THE SLOAN DIGITAL SKY SURVEY

机译:用线性探索可变的天空。 I.斯隆数字天空调查的光度标定

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We describe photometric recalibration of data obtained by the asteroid survey LINEAR. Although LINEAR was designed for astrometric discovery of moving objects, the data set described here contains over 5 billion photometric measurements for about 25 million objects, mostly stars. We use Sloan Digital Sky Survey (SDSS) data from the overlapping ~10,000?deg2 of sky to recalibrate LINEAR photometry and achieve errors of 0.03?mag for sources not limited by photon statistics with errors of 0.2?mag at r ~ 18. With its 200 observations per object on average, LINEAR data provide time domain information for the brightest four?magnitudes of the SDSS survey. At the same time, LINEAR extends the deepest similar wide-area variability survey, the Northern Sky Variability Survey, by 3?mag. We briefly discuss the properties of about 7000 visually confirmed periodic variables, dominated by roughly equal fractions of RR Lyrae stars and eclipsing binary stars, and analyze their distribution in optical and infrared color-color diagrams. The LINEAR data set is publicly available from the SkyDOT Web site.
机译:我们描述了通过小行星调查LINEAR获得的数据的光度重新校准。尽管LINEAR是专为移动物体的天体探测而设计的,但此处描述的数据集包含针对大约2500万个物体(主要是恒星)的50亿光度测量结果。我们使用来自重叠的〜10,000?deg2天空的Sloan数字天空测量(SDSS)数据重新校准LINEAR光度法,对于不受光子统计限制且在r〜18处具有0.2?mag误差的源,实现0.03?mag的误差。每个对象平均200个观测值,线性数据为SDSS测量中最亮的四个幅度提供了时域信息。同时,LINEAR将最深的类似广域变异性调查“北方天空变异性调查”扩展了3?mag。我们简要讨论了大约7000个视觉确认的周期性变量的属性,这些属性主要由RR天琴星和食双星大致相等的分数所占,并分析了它们在光学和红外彩色图表中的分布。 LINEAR数据集可从SkyDOT网站公开获得。

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