Robo-AO Kepler Planetary Candidate Survey III: Adaptive Optics Imaging of 1629 Kepler Exoplanet Candidate Host Stars
Carl Ziegler, Nicholas M. Law, Tim Morton, Christoph Baranec, Reed, Riddle, Dani Atkinson, Anna Baker, Sarah Roberts, and David R. Ciardi

TL;DR
This study uses adaptive optics imaging to identify nearby stars around 1629 Kepler planet candidates, revealing a 12.6% nearby-star probability and providing insights into the relationship between stellar binarity and planetary systems.
Contribution
First large-scale adaptive optics survey of Kepler planet candidates, identifying 223 nearby stars and analyzing their impact on planetary system characteristics.
Findings
Nearby-star probability for Kepler candidates is 12.6%.
Detected companions include systems with rocky, habitable zone candidates.
Binary fraction shows correlation with Kepler data release timing.
Abstract
The Robo-AO \textit{Kepler} Planetary Candidate Survey is observing every \textit{Kepler} planet candidate host star with laser adaptive optics imaging to search for blended nearby stars, which may be physically associated companions and/or responsible for transit false positives. We present in this paper the results of our search for stars nearby 1629 \textit{Kepler} planet candidate hosts. With survey sensitivity to objects as close as 0.15" and magnitude differences m6, we find 223 stars in the vicinity of 206 target KOIs; 209 of these nearby stars have not previously been imaged in high resolution. We measure an overall nearby-star probability for \textit{Kepler} planet candidates of 12.6\%0.9\% at separations between 0.15" and 4.0". Particularly interesting KOI systems are discussed, including 23 stars with detected companions which host rocky, habitable…
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