Disentangling Blended K2 Photometry: Determining the Planetary Host Star
Alan Payne, David Ciardi, Stephen Kane, Brad Carter

TL;DR
This paper presents a method combining light curve analysis and stellar modeling to identify the probable host star in blended K2 photometric systems, improving the accuracy of planetary host star determination.
Contribution
The approach uses transit-derived stellar density and flux ratios to disentangle blended systems, providing probabilistic host star identification for K2 exoplanet candidates.
Findings
Successfully identified likely host stars in 8 blended systems.
Determined high-confidence hosts for two confirmed planets.
Provided probabilistic assessments for each system's host star.
Abstract
The presence of companion stars, whether bound or unbound, make correct identification of the planetary hosting star difficult when a planet has been detected through a photometrically blended transiting event. We present an approach that uses a combination of light curve analysis and stellar modeling to disentangle 8 K2 photometrically blended binary systems that have either a confirmed or suspected planet to identify the probable host star. The key to our approach is the use of the mean stellar density, calculated using the transit geometry, as a discriminator. The approach is strongly dependent on the difference in magnitude between the stars and the observed transit depth, which is corrected by the flux ratio between the two stars. While our approach does not lead to a definitive result for all systems, we were able to determine for the 8 systems in this case study: two systems…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
