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Contamination in the Kepler Field. Identification of 685 KOIs as False Positives Via Ephemeris Matching Based On Q1-Q12 Data

机译:开普勒油田的污染。鉴定685 KOI为假   基于Q1-Q12数据的星历匹配的正数

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摘要

The Kepler mission has to date found almost 6,000 planetary transit-likesignals, utilizing three years of data for over 170,000 stars at extremely highphotometric precision. Due to its design, contamination from eclipsingbinaries, variable stars, and other transiting planets results in a significantnumber of these signals being false positives. This directly affects thedetermination of the occurrence rate of Earth-like planets in our Galaxy, aswell as other planet population statistics. In order to detect as many of thesefalse positives as possible, we perform ephemeris matching among all transitingplanet, eclipsing binary, and variable star sources. We find that 685 KeplerObjects of Interest - 12% of all those analyzed - are false positives as aresult of contamination, due to 409 unique parent sources. Of these, 118 havenot previously been identified by other methods. We estimate that ~35% of KOIsare false positives due to contamination, when performing a first-ordercorrection for observational bias. Comparing single-planet candidate KOIs tomulti-planet candidate KOIs, we find an observed false positive fraction due tocontamination of 16% and 2.4% respectively, bolstering the existing evidencethat multi-planet KOIs are significantly less likely to be false positives. Wealso analyze the parameter distributions of the ephemeris matches and derive asimple model for the most common type of contamination in the Kepler field. Wefind that the ephemeris matching technique is able to identify lowsignal-to-noise false positives that are difficult to identify with othervetting techniques. We expect false positive KOIs to become more frequent whenanalyzing more quarters of Kepler data, and note that many of them will not beable to be identified based on Kepler data alone.
机译:开普勒任务迄今已发现了近6,000个类似行星的过境信号,利用三年的数据以极高的光度精度获得了170,000多颗恒星。由于其设计,日食双星,变星和其他过渡行星造成的污染导致其中许多信号都是误报。这直接影响到我们银河系中类地球行星的发生率以及其他行星人口统计的确定。为了尽可能多地检测到这些假阳性,我们在所有过境行星,日食双星和变星源之间执行星历匹配。我们发现,由于409个独特的父源,有685个开普勒感兴趣的目标(占所有被分析对象的12%)是假阳性,是污染的结果。其中118个以前未通过其他方法识别。我们估计,对观察偏差进行一阶校正时,约有35%的KOIs是由于污染造成的假阳性。将单行星候选KOI与多行星候选KOI进行比较,我们发现观察到的假阳性分数分别是由于16%和2.4%的污染造成的,这支持了现有证据,即多行星KOI的假阳性可能性要小得多。我们还分析了星历匹配的参数分布,并推导了开普勒场中最常见的污染类型的简单模型。我们确定,星历匹配技术能够识别低信噪比的假阳性,而其他审查技术很难识别。我们预计,在分析更多四分之一的开普勒数据时,假阳性KOI会更加频繁,并且请注意,仅凭开普勒数据就无法识别其中许多。

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