High-resolution simulations of planetesimal formation in turbulent protoplanetary discs

TL;DR

This paper uses high-resolution simulations to study dust dynamics and planetesimal formation in turbulent protoplanetary disks, revealing how turbulence and particle self-gravity influence clump formation and mass distribution.

Contribution

It introduces high-resolution magnetorotational turbulence simulations with a new domain decomposition algorithm, demonstrating the impact of resolution and timing of self-gravity activation on planetesimal formation.

Findings

Turbulent viscosity increases with resolution, reaching α≈0.003.

Particles concentrate in pressure bumps, forming bound clumps.

Self-gravity activation timing affects planetesimal mass and formation burst.

Abstract

We present high-resolution computer simulations of dust dynamics and planetesimal formation in turbulence generated by the magnetorotational instability. We show that the turbulent viscosity associated with magnetorotational turbulence in a non-stratified shearing box increases when going from 256^3 to 512^3 grid points in the presence of a weak imposed magnetic field, yielding a turbulent viscosity of $\alpha\approx0.003$ at high resolution. Particles representing approximately meter-sized boulders concentrate in large-scale high-pressure regions in the simulation box. The appearance of zonal flows and particle concentration in pressure bumps is relatively similar at moderate (256^3) and high (512^3) resolution. In the moderate-resolution simulation we activate particle self-gravity at a time when there is little particle concentration, in contrast with previous simulations where particle self-gravity was activated during a concentration event. We observe that bound clumps form over the next ten orbits, with initial birth masses of a few times the dwarf planet Ceres. At high resolution we activate self-gravity during a particle concentration event, leading to a burst of planetesimal formation, with clump masses ranging from a significant fraction of to several times the mass of Ceres. We present a new domain decomposition algorithm for particle-mesh schemes. Particles are spread evenly among the processors and the local gas velocity field and assigned drag forces are exchanged between a domain-decomposed mesh and discrete blocks of particles. We obtain good load balancing on up to 4096 cores even in simulations where particles sediment to the mid-plane and concentrate in pressure bumps.