We have adapted the algorithmic tools developed during the Kepler mission to vet the quality of transit-like signals for use on the K2 mission data. We packaged them into an open-source, fully-automated vetting package called DAVE (Discovery and Vetting of Exoplanets). Using four of the publically available K2 lightcurves (K2SC (Aigrain et al. 2015), EVEREST (Luger et al. 2017), K2SFF (Vanderberg et al. 2014), and PDC (Smith et al. 2012)) we produced a uniformly-vetted catalog of the reported, candidate transit signals from the K2 data which are publicly available at the NASA Exoplanet Archive. Our analysis identifies more than 80 new false positives, effectively doubling the overall number of reported astrophysical signals mimicking planetary transits in K2 data. Most of the targets listed as false positives in our catalog show prominent secondary eclipses, transit depths suggesting a stellar companion instead of a planet, or significant photo-center shifts during transit. We will describe the tests performed by the DAVE pipeline and how to access the public code. This research is based on data collected by the K2 mission. Funding for the K2 mission is provided by the NASA Science Mission directorate.This work was made possible because of funding by K2 Guest Observer Grants (NNX16AE74G). We thank the NASA Exoplanet Archive for hosting the K2 candidates and false positives, and the Mikulski Archive for Space Telescopes for hosting the K2 data products and K2 high-level science light curves.
American Astronomical Society Meeting Abstracts #233
- Pub Date:
- January 2019