An Efficient Automated Validation Procedure for Exoplanet Transit Candidates
Timothy D. Morton

TL;DR
This paper introduces a rapid, comprehensive method for calculating false positive probabilities of exoplanet transit candidates, enabling efficient validation and prioritization for follow-up observations in large surveys like Kepler.
Contribution
It presents a novel, computationally efficient validation procedure that incorporates multiple observational data types and the concept of specific occurrence rate, improving false positive assessment.
Findings
Many Kepler signals can be validated with minimal follow-up
The method reliably identifies false positives
Application to Kepler data demonstrates efficiency and effectiveness
Abstract
Surveys searching for transiting exoplanets have found many more candidates than they have been able to confirm as true planets. This situation is especially acute with the Kepler survey, which has found over 2300 candidates but has confirmed only 77 planets to date. I present here a general procedure that can quickly be applied to any planet candidate to calculate its false positive probability. This procedure takes into account the period, depth, duration, and shape of the signal; the colors of the target star; arbitrary spectroscopic or imaging follow-up observations; and informed assumptions about the populations and distributions of field stars and multiple-star properties. I also introduce the concept of the "specific occurrence rate," which allows for the calculation of the FPP without relying on an assumed planet radius function. Applying these methods to a sample of known…
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