Scaling K2. II. Assembly of a Fully Automated C5 Planet Candidate Catalog Using EDI-Vetter

April 2020 • 2020AJ....159..154Z

Authors • Zink, Jon K. • Hardegree-Ullman, Kevin K. • Christiansen, Jessie L. • Dressing, Courtney D. • Crossfield, Ian J. M. • Petigura, Erik A. • Schlieder, Joshua E. • Ciardi, David R.

Abstract • 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.

Links

• PREPRINT http://arxiv.org/abs/2001.11515
• ELECTR https://doi.org/10.3847%2F1538-3881%2Fab7448
• SIMBAD http://simbad.u-strasbg.fr/simbo.pl?bibcode=2020AJ....159..154Z
• PDF https://iopscience.iop.org/article/10.3847/1538-3881/ab7448/pdf
• PDF https://stacks.iop.org/1538-3881/159/154/pdf
• DATA http://cdsarc.cds.unistra.fr/viz-bin/cat/J/AJ/159/154
• DATA https://archive.stsci.edu/mastbibref.php?bibcode=2020AJ....159..154Z
• DATA https://emac.gsfc.nasa.gov?cid=2207-079
• DATA https://irsa.ipac.caltech.edu/bibdata/2020/Z/2020AJ....159..154Z.html