缩放K2。II。用EDI-Vetter汇编全自动C5候选行星目录
Scaling K2. II. Assembly of a Fully Automated C5 Planet Candidate Catalog Using EDI-Vetter
摘要：
我们提出了一个统一的过境系外行星候选人名单的K2任务的战役5。该目录包含75颗行星和7个多行星系统（5个双行星系统，1个三行星系统和1个四行星系统）。在我们的搜索范围内，我们发现了8个以前未检测到的候选人，其余66个候选人与Kruse等人的研究重叠了51%。为了检查我们潜在的过境信号，我们引入了系外行星探测识别Vetter（EDI-Vetter），这是一个完全自动化的程序，能够确定过境信号是否应该被标记为假阳性或行星候选者。这种自动化使我们能够创建一个统计上统一的目录，非常适合行星出现率测量。经过测试，该软件能够确保我们的样本在系统性假阳性方面具有94.2%的可靠性。此外，我们在原始K2数据的光变曲线水平上注入人工凌日，发现我们的管道的最大完整性在审查前为70%，审查后为60%。为了方便未来的发生率研究，我们包括了恒星噪声（CDPP）的测量和每个目标的三个凌日窗口函数。这项研究是对K2数据集和将应用于整个K2数据集的方法的更大调查的一部分。
英文摘要：
We present a uniform transiting exoplanet candidate list for Campaign 5 of the K2 mission. This catalog contains 75 planets with 7 multi-planet systems (5 double, 1 triple, and 1 quadruple planet system). Within the range of our search, we find 8 previously undetected candidates with the remaining 66 candidates overlapping 51% of the Kruse et al. study that manually vet Campaign 5 candidates. In order to vet our potential transit signals, we introduce the Exoplanet Detection Identification Vetter (EDI-Vetter), which is a fully automated program able to determine if a transit signal should be labeled as a false positive or a planet candidate. This automation allows us to create a statistically uniform catalog, ideal for planet occurrence rate measurements. When tested, the vetting software is able to ensure our sample is 94.2% reliable against systematic false positives. Additionally, we inject artificial transits at the light-curve-level of the raw K2 data and find the maximum completeness of our pipeline is 70% before vetting and 60% after vetting. For convenience of future occurrence rate studies, we include measurements of stellar noise (CDPP) and the three-transit window function for each target. This study is part of a larger survey of the K2 data set and the methodology which will be applied to the entirety of the K2 data set.
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