TL;DR
This study uses Transit Duration Variations to statistically constrain the mutual inclination distribution of Kepler planetary systems, revealing a continuous low-inclination population and challenging the simple dichotomy model.
Contribution
It provides the first evidence for a continuous mutual inclination distribution in Kepler systems using TDV data, refining the understanding of the Kepler dichotomy.
Findings
Mutual inclinations follow a power-law distribution with multiplicity.
Detected TDV signals are consistent with low mutual inclinations.
Results suggest late-stage planet formation influences mutual inclinations.
Abstract
Early analyses of exoplanet statistics from the Kepler Mission revealed that a model population of multiple-planet systems with low mutual inclinations () adequately describes the multiple-transiting systems but underpredicts the number of single-transiting systems. This so-called "Kepler dichotomy" signals the existence of a sub-population of multi-planet systems possessing larger mutual inclinations. However, the details of these inclinations remain uncertain. In this work, we derive constraints on the intrinsic mutual inclination distribution by statistically exploiting Transit Duration Variations (TDVs) of the Kepler planet population. When planetary orbits are mutually inclined, planet-planet interactions cause orbital precession, which can lead to detectable long-term changes in transit durations. These TDV signals are inclination-sensitive and have been…
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