AUTOMATIC CLASSIFICATION OF KEPLER PLANETARY TRANSIT CANDIDATES

@article{McCauliff2014AUTOMATICCO,
  title={AUTOMATIC CLASSIFICATION OF KEPLER PLANETARY TRANSIT CANDIDATES},
  author={Sean D. McCauliff and Jon M. Jenkins and Joseph H. Catanzarite and Christopher J. Burke and Jeffrey L. Coughlin and Joseph D. Twicken and Peter Tenenbaum and Shawn E. Seader and Jie Li and Miles T. Cote},
  journal={The Astrophysical Journal},
  year={2014},
  volume={806}
}
In the first three years of operation, the Kepler mission found 3697 planet candidates (PCs) from a set of 18,406 transit-like features detected on more than 200,000 distinct stars. Vetting candidate signals manually by inspecting light curves and other diagnostic information is a labor intensive effort. Additionally, this classification methodology does not yield any information about the quality of PCs; all candidates are as credible as any other. The torrent of exoplanet discoveries will… 

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