Planetary Candidates Observed by Kepler. VII. The First Fully Uniform Catalog Based on The Entire 48 Month Dataset (Q1-Q17 DR24)
Jeffrey L. Coughlin, F. Mullally, Susan E. Thompson, Jason F. Rowe,, Christopher J. Burke, David W. Latham, Natalie M. Batalha, Aviv Ofir, Billy, L. Quarles, Christopher E. Henze, Angie Wolfgang, Douglas A. Caldwell,, Stephen T. Bryson, Avi Shporer, Joseph Catanzarite

TL;DR
This paper presents a comprehensive, fully automated catalog of Kepler planet candidates based on the entire 48-month dataset, utilizing robotic vetting and artificial transit injection to improve accuracy and bias assessment.
Contribution
It introduces the first fully uniform, automated Kepler planet candidate catalog using the entire dataset and artificial transit injection for bias evaluation.
Findings
Identified 1,478 new KOIs, including 402 planet candidates.
Improved vetting procedures with artificial transit injection.
Enhanced understanding of Earth-size planets in habitable zones.
Abstract
We present the seventh Kepler planet candidate catalog, which is the first to be based on the entire, uniformly processed, 48 month Kepler dataset. This is the first fully automated catalog, employing robotic vetting procedures to uniformly evaluate every periodic signal detected by the Q1-Q17 Data Release 24 (DR24) Kepler pipeline. While we prioritize uniform vetting over the absolute correctness of individual objects, we find that our robotic vetting is overall comparable to, and in most cases is superior to, the human vetting procedures employed by past catalogs. This catalog is the first to utilize artificial transit injection to evaluate the performance of our vetting procedures and quantify potential biases, which are essential for accurate computation of planetary occurrence rates. With respect to the cumulative Kepler Object of Interest (KOI) catalog, we designate 1,478 new…
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