Observational biases for transiting planets
David M. Kipping, Emily Sandford

TL;DR
This paper analytically derives the observational biases affecting transiting exoplanet detection, explaining non-uniform distributions and predicting bias scaling, to improve understanding and correction of observational distortions.
Contribution
It provides the first-principles analytical framework for understanding and correcting observational biases in transiting exoplanet data.
Findings
Bias towards near-equatorial geometries explained.
Transit duration bias near apoastron identified.
Super-quadratic bias scaling with radius ratio predicted.
Abstract
Observational biases distort our view of nature, such that the patterns we see within a surveyed population of interest are often unrepresentative of the truth we seek. Transiting planets currently represent the most informative data set on the ensemble properties of exoplanets within 1 AU of their star. However, the transit method is inherently biased due to both geometric and detection-driven effects. In this work, we derive the overall observational biases affecting the most basic transit parameters from first principles. By assuming a trapezoidal transit and using conditional probability, we infer the expected distribution of these terms both as a joint distribution and in a marginalized form. These general analytic results provide a baseline against which to compare trends predicted by mission-tailored injection/recovery simulations and offer a simple way to correct for…
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