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  • 标题:Scaling K2. II. Assembly of a Fully Automated C5 Planet Candidate Catalog Using EDI-Vetter
  • 本地全文:下载
  • 作者:Jon K.Zink ; Kevin K.Hardegree-Ullman ; Jessie L.Christiansen
  • 期刊名称:The Astronomical journal
  • 印刷版ISSN:0004-6256
  • 电子版ISSN:1538-3881
  • 出版年度:2020
  • 卷号:159
  • 期号:4
  • 页码:2077-2098
  • DOI:10.3847/1538-3881/ab7448
  • 语种:English
  • 出版社:American Institute of Physics
  • 摘要:We present a uniform transiting exoplanet candidate list for Campaign 5 of the K2 mission.This catalog contains 75 planets with seven multi-planet systems (five double, one triple, and one quadruple planet system).Within the range of our search, we find eight previously undetected candidates, with the remaining 67 candidates overlapping 51% of the study of Kruse et al.that manually vets candidates from Campaign 5.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 whether 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 measurements of planet occurrence rate.When tested, the vetting software is able to ensure that 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 that the maximum completeness of our pipeline is 70% before vetting and 60% after vetting.For convenience of future studies of occurrence rate, 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 that will be applied to the entirety of that set.
  • 关键词:Exoplanet catalogs;Planetary science;Astronomy data analysis
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