How much does turbulence change the pebble isolation mass for planet formation?
S. Ataiee (1), C. Baruteau (2), Y. Alibert (1), W. Benz (1) ((1), University of Bern, Physics Institute, Space Research, Planetary Sciences,, Switzerland, (2) IRAP, Universit\'e de Toulouse, CNRS, UPS, Toulouse, France)

TL;DR
This study investigates how disk turbulence influences the pebble isolation mass in planet formation, revealing that turbulence can significantly increase the mass needed to trap pebbles, affecting planetary growth models.
Contribution
The paper provides a new semi-analytical model quantifying the dependence of pebble isolation mass on turbulence, gas disk properties, and particle Stokes number, supported by hydrodynamical simulations.
Findings
Turbulence can increase the pebble isolation mass by nearly an order of magnitude.
The semi-analytical model explicitly relates PIM to disk aspect ratio, viscosity, and particle Stokes number.
Turbulent diffusion reduces the efficiency of pebble trapping at the pressure maximum.
Abstract
When a planet becomes massive enough, it gradually carves a partial gap around its orbit in the protoplanetary disk. A pressure maximum can be formed outside the gap where solids that are loosely coupled to the gas, typically in the pebble size range, can be trapped. The minimum planet mass for building such a trap, which is called the pebble isolation mass (PIM), is important for two reasons: it marks the end of planetary growth by pebble accretion, and the trapped dust forms a ring that may be observed with millimetre observations. We study the effect of disk turbulence on the pebble isolation mass and find its dependence on the gas turbulent viscosity, aspect ratio, and particles Stokes number. By means of 2D gas hydrodynamical simulations, we found the minimum planet mass to form a radial pressure maximum beyond the orbit of the planet, which is the necessary condition to trap…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
