Data of smoothed particle hydrodynamic giant impact simulations for the paper "A super-mas

Data from the 2023 article 'A super-massive Neptune-sized planet' by L. Naponiello et al. comprises initial conditions and final snapshots from smoothed particle hydrodynamics simulations of giant impacts. The dataset, authored by Jingyao Dou from the University of Bristol, models planets with forsterite cores, water layers, and H/He atmospheres across three distinct pre-impact compositions. Simulations were performed using the SWIFT code with initial conditions generated by WoMa.

Use Cases

• Training or validating machine learning models for planetary collision outcomes based on initial composition and impact parameters.
• Analyzing the relationship between a planet's final state and its initial rock/water/H/He mass fractions.
• Studying the temporal evolution of planetary structures during giant impacts using the provided hourly simulation snapshots.
• Comparing simulation results from different hydrodynamic codes against the SWIFT-generated data.

Strengths

• Simulations model three distinct, quantitatively defined planetary compositions: water-rich (22.5% rock, 67.5% water, 10% H/He), equal rock/water (45% each, 10% H/He), and rock-rich (67.5% rock, 22.5% water, 10% H/He).
• Data includes both initial conditions and final snapshots for each simulation, with snapshots labeled by simulation time in hours (e.g., snapshot_0015.hdf5 for 15 hours).
• Associated with a peer-reviewed article published in Nature in 2023 (DOI: 10.1038/s41586-023-06499-2), providing scientific context.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download from the HDF5 files.
• Row count and total dataset size are unknown, which may limit suitability assessment for large-scale analysis.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Bristol, associated with the paper by L. Naponiello et al. 2023.

Collection Method

Generated via smoothed particle hydrodynamics simulations performed using the SWIFT code, with initial conditions from WoMa.