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arXiv 1303.0052astro-ph.IMastro-ph.EP
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从开普勒数据中识别背景假阳性

Identification of Background False Positives from Kepler Data

Stephen T. Bryson, Jon M. Jenkins, Ronald L. Gilliland, Joseph D. Twicken, Bruce Clarke, Jason Rowe, Douglas Caldwell, Natalie Batalha, Fergal Mullally, Michael… 展开作者

Stephen T. Bryson, Jon M. Jenkins, Ronald L. Gilliland, Joseph D. Twicken, Bruce Clarke, Jason Rowe, Douglas Caldwell, Natalie Batalha, Fergal Mullally, Michael R. Haas, Peter Tenenbaum

摘要:

开普勒任务于2009年3月6日发射,对超过100,000颗矮星进行光度测量,以使用凌日技术寻找地球大小的行星。由此产生的行星候选名单的可靠性依赖于识别和消除误报的能力。天体物理误报的主要来源是行星凌日和背景恒星上的恒星食。我们描述了几种新的技术,用于识别背景过境源,从他们的目标恒星分离,表明天体物理假阳性。这些技术仅使用开普勒光度数据。我们详细描述了这些技术的概念和结构,以及它们的性能和相对优点。

英文摘要:

The Kepler Mission was launched on March 6, 2009 to perform a photometric survey of more than 100,000 dwarf stars to search for Earth-size planets with the transit technique. The reliability of the resulting planetary candidate list relies on the ability to identify and remove false positives. Major sources of astrophysical false positives are planetary transits and stellar eclipses on background stars. We describe several new techniques for the identification of background transit sources that are separated from their target stars, indicating an astrophysical false positive. These techniques use only Kepler photometric data. We describe the concepts and construction of these techniques in detail as well as their performance and relative merits.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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