  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. Using
the four sets of publicly-available lightcurves on MAST, we produced a
uniformly-vetted catalog of 772 transiting planet candidates from K2 as listed
at the NASA Exoplanet archive in the K2 Table of Candidates. Our analysis marks
676 of these as planet candidates and 96 as false positives. All confirmed
planets pass our vetting tests. 60 of our false positives are new
identifications -- effectively doubling the overall number of astrophysical
signals mimicking planetary transits in K2 data. Most of the targets listed as
false positives in our catalog either show prominent secondary eclipses,
transit depths suggesting a stellar companion instead of a planet, or
significant photocenter shifts during transit. We packaged our tools into the
open-source, automated vetting pipeline DAVE (Discovery and Vetting of
Exoplanets) designed to streamline follow-up efforts by reducing the time and
resources wasted observing targets that are likely false positives. DAVE will
also be a valuable tool for analyzing planet candidates from NASA's TESS
mission, where several guest-investigator programs will provide independent
lightcurve sets -- and likely many more from the community. We are currently
testing DAVE on recently-released TESS planet candidates and will present our
results in a follow-up paper.
