• Corpus ID: 227126603

Deep learning insights into cosmological structure formation

@article{LucieSmith2020DeepLI,
  title={Deep learning insights into cosmological structure formation},
  author={Luisa Lucie-Smith and Hiranya V. Peiris and Andrew Pontzen and Brian Nord and Jeyan Thiyagalingam},
  journal={ArXiv},
  year={2020},
  volume={abs/2011.10577}
}
While the evolution of linear initial conditions present in the early universe into extended halos of dark matter at late times can be computed using cosmological simulations, a theoretical understanding of this complex process remains elusive. Here, we build a deep learning framework to learn this non-linear relationship, and develop techniques to physically interpret the learnt mapping. A three-dimensional convolutional neural network (CNN) is trained to predict the mass of dark matter halos… 

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