Protoplanet Collisions: Statistical Properties of Ejecta

TL;DR

This paper analyzes the statistical properties of ejecta from planetary embryo collisions to improve modeling in planetary formation simulations, revealing new insights into fragment distributions and velocities.

Contribution

It introduces a statistical model for collision ejecta, including distributions of mass and velocity, to enhance numerical simulations of planetary formation.

Findings

Fragment masses follow an exponential distribution.

Many fragments are scattered toward the central star.

The model can be directly incorporated into simulations.

Abstract

The last phase of the formation of rocky planets is dominated by collisions among Moon- to Mars-sized planetary embryos. Simulations of this phase need to handle the difficulty of including the post-impact material without saturating the numerical integrator. A common approach is to include the collision-generated material by clustering it into few bodies with the same mass and uniformly scattering them around the collision point. However, this approach oversimplifies the properties of the collision material by neglecting features that can play important roles in the final structure and composition of the system. In this study, we present a statistical analysis of the orbital architecture, mass, and size distributions of the material generated through embryo-embryo collisions and show how they can be used to develop a model that can be directly incorporated into the numerical integrations. For instance, results of our analysis indicate that the masses of the fragments follow an exponential distribution with an exponent of $-2.21\pm0.17$ over the range of $10^{-7}$ to $2\times 10^{-2}$ Earth-masses. The distribution of the post-impact velocities show that a large number of fragments are scattered toward the central star. The latter is a new finding that may be quite relevant to the delivery of material from the outer regions of the asteroid belt to the accretion zones of terrestrial planets. Finally, we present an analytical model for the 2D distribution of fragments that can be directly incorporated into numerical integrations.