Published March 21, 2020
| Version v1
Dataset
Open
Predicting the Long-Term Stability of Compact Multi-Planet Systems
Authors/Creators
- 1. Princeton University
- 2. Harvard-Smithsonian Center for Computational Astrophysics
- 3. University of Toronto at Scarborough
- 4. Google Deepmind
- 5. University of Toronto
- 6. Stony Brook University, Flatiron Center for Computational Astrophysics
- 7. Flatiron Center for Computational Astrophysics, Carnegie Mellon University
- 8. Flatiron Center for Computational Astrophysics
- 9. Pennsylvania State University
- 10. University of the Pacific
- 11. University of Toronto at Scarborough, University of Toronto
Description
REBOUND N-body simulation archives used to train and test the machine learning models in Tamayo et al. (2020), 'Predicting the Long-Term Stability of Compact Multi-Planet Systems'. See https://github.com/dtamayo/spock for scripts to process the data, train and test the SPOCK XGBoost model.
Files
Files
(23.0 GB)
| Name | Size | |
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md5:f118640d77a6a6db86ee5ab88d396848
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23.0 GB | Download |