Simulations of planetary-scale collisions between rotating, differentiated bodies
Authors/Creators
- 1. University of Zurich
- 2. ETH Zurich
Description
In the late stages of terrestrial planet formation, pairwise collisions between planetary-sized bodies act as the fundamental agent of planet growth. These collisions can lead to either growth or disruption of the bodies involved and are largely responsible for shaping the final characteristics of planets. Despite their critical role in planet formation, an accurate treatment of collisions has yet to be realized. Therefore, we simulated a new set of 10,700 smoothed-particle hydrodynamics (SPH) simulations of pairwise collisions between rotating, differentiated bodies. This dataset is an order of magnitude larger than any previous collision dataset and is intended to serve as a training dataset for machine learning models, so that accurate surrogate models for planetary-scale collisions can be developed.
Notes
The files provided here include the Gasoline runtime parameter files (collision.param), initial conditions (collision.std), final outputs (outcome.std), and SKID group finding files (*.grp). The parameter and initial condition files are sufficient to run the simulations with Gasoline and the appropriate Tillotson equation of state (EOS). The associated outputs and group finding files are those on which the analysis was carried out. Users can explore and analyze the input and output files using a number of open-source software packages, but we suggest Python's pynbody package (https://pynbody.github.io/pynbody/).
In the course of simulating the datasets, a small number of collisions failed to complete. These failures were either a result of hardware failures during integration, interruptive maintenence downtimes, or the result of a pre-impact body (i.e., target or projectile) that was rotationally unstable. Therefore, in the LHS10K set, there are 9978 collisions, 499 collisions in the LHS500 dataset, and 199 collisions in the LHS200 dataset.
Funding provided by: National Center of Competence in Research PlanetS
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100018710
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Funding provided by: Swiss National Science Foundation
Crossref Funder Registry ID:
Award Number: 200020_149848
Funding provided by: UZH Candoc Forschungskredit
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Award Number:
Funding provided by: Swiss National Supercomputing Center
Crossref Funder Registry ID:
Award Number: uzh4
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Related works
- Is cited by
- https://ui.adsabs.harvard.edu/abs/2019ESS.....431814T (URL)