Discerning Exoplanet Migration Models Using Spin-Orbit Measurements
Timothy D. Morton, John Asher Johnson

TL;DR
This study uses Bayesian analysis of current exoplanet spin-orbit data to determine that a combination of planet-planet scattering and disk migration best explains observed misalignments, with implications for understanding planet migration processes.
Contribution
It introduces a Bayesian model comparison approach to distinguish between different exoplanet migration mechanisms using spin-orbit measurements.
Findings
Current data strongly favor a two-mode migration scenario.
Between 34% and 76% of close-in planets migrated via planet-planet scattering.
Additional measurements could significantly improve model confidence.
Abstract
We investigate the current sample of exoplanet spin-orbit measurements to determine whether a dominant planet migration channel can be identified, and at what confidence. We use the predictions of Kozai migration plus tidal friction (Fabrycky and Tremaine 2007) and planet-planet scattering (Nagasawa et al. 2008) as our misalignment models, and we allow for a fraction of intrinsically aligned systems, explainable by disk migration. Bayesian model comparison demonstrates that the current sample of 32 spin-orbit measurements strongly favors a two-mode migration scenario combining planet-planet scattering and disk migration over a single-mode Kozai migration scenario. Our analysis indicates that between 34% and 76% of close-in planets (95% confidence) migrated via planet-planet scattering. Separately analyzing the subsample of 12 stars with T_eff > 6250 K---which Winn et al. (2010) predict…
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