Kavli Affiliate: Saul A. Rappaport
| First 5 Authors: Veselin B. Kostov, Brian P. Powell, Aline U. Fornear, Marco Z. Di Fraia, Robert Gagliano
| Summary:
The Transiting Exoplanet Survey Satellite (TESS) has surveyed nearly the
entire sky in Full-Frame Image mode with a time resolution of 200 seconds to 30
minutes and a temporal baseline of at least 27 days. In addition to the primary
goal of discovering new exoplanets, TESS is exceptionally capable at detecting
variable stars, and in particular short-period eclipsing binaries which are
relatively common, making up a few percent of all stars, and represent powerful
astrophysical laboratories for deep investigations of stellar formation and
evolution. We combed Sectors 1-82 of TESS Full-Frame Image data searching for
eclipsing binary stars using a neural network that identified ~1.2 million
stars with eclipse-like features. Of these, we have performed an in-depth
analysis on ~60,000 targets using automated methods and manual inspection by
citizen scientists. Here we present a catalog of 10001 uniformly-vetted and
-validated eclipsing binary stars that passed all our ephemeris and photocenter
tests, as well as complementary visual inspection. Of these, 7936 are new
eclipsing binaries while the remaining 2065 are known systems for which we
update the published ephemerides. We outline the detection and analysis of the
targets, discuss the properties of the sample, and highlight potentially
interesting systems. Finally, we also provide a list of ~900,000 unvetted and
unvalidated targets for which the neural network found eclipse-like features
with a score higher than 0.9, and for which there are no known eclipsing
binaries within a sky-projected separation of a TESS pixel (~21 arcsec).
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