Corpus ID: 231583090

A Bayesian neural network predicts the dissolution of compact planetary systems

@article{Cranmer2021ABN,
  title={A Bayesian neural network predicts the dissolution of compact planetary systems},
  author={M. Cranmer and D. Tamayo and H. Rein and P. Battaglia and S. Hadden and P. Armitage and S. Ho and D. N. Spergel},
  journal={ArXiv},
  year={2021},
  volume={abs/2101.04117}
}

M. Cranmer, D. Tamayo, +5 authors D. N. Spergel

Published 2021

Computer Science, Physics, Mathematics

ArXiv

Despite over three hundred years of effort, no solutions exist for predicting when a general planetary configuration will become unstable. We introduce a deep learning architecture to push forward this problem for compact systems. While current machine learning algorithms in this area rely on scientist-derived instability metrics, our new technique learns its own metrics from scratch, enabled by a novel internal structure inspired from dynamics theory. Our Bayesian neural network model can… CONTINUE READING

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