# Hints for a Turnover at the Snow Line in the Giant Planet Occurrence Rate

## TL;DR

This study analyzes the distribution of giant planets around stars, revealing a turnover near the snow line and providing occurrence rates that inform planet formation theories and future surveys.

## Contribution

It combines Kepler and RV data to identify a break in giant planet occurrence at the snow line and estimates overall occurrence rates across a wide range of semi-major axes.

## Key findings

- Occurrence rate increases with distance up to the snow line
- Break in distribution at ~2-3 au near the snow line
- Estimated 26.6% occurrence of giant planets between 0.1-100 au

## Abstract

The orbital distribution of giant planets is crucial for understanding how terrestrial planets form and predicting yields of exoplanet surveys. Here, we derive giant planets occurrence rates as a function of orbital period by taking into account the detection efficiency of the Kepler and radial velocity (RV) surveys. The giant planet occurrence rates for Kepler and RV show the same rising trend with increasing distance from the star. We identify a break in the RV giant planet distribution between ~2-3 au -- close to the location of the snow line in the Solar System -- after which the occurrence rate decreases with distance from the star. Extrapolating a broken power-law distribution to larger semi-major axes, we find good agreement with the ~ 1% planet occurrence rates from direct imaging surveys. Assuming a symmetric power law, we also estimate that the occurrence of giant planets between 0.1-100 au is 26.6 +7.5 -5.4% for planets with masses 0.1-20MJ and decreases to 6.2 +1.5 -1.2% for planets more massive than Jupiter. This implies that only a fraction of the structures detected in disks around young stars can be attributed to giant planets. Various planet population synthesis models show good agreement with the observed distribution, and we show how a quantitative comparison between model and data can be used to constrain planet formation and migration mechanisms.