CosmoFlow
Introduced by Mathuriya et al. in CosmoFlow: Using Deep Learning to Learn the Universe at Scale
The latest CosmoFlow dataset includes around 10,000 cosmological N-body dark matter simulations. The simulations are run using MUSIC to generate the initial conditions, and are evolved with pyCOLA, a multithreaded Python/Cython N-body code. The output of these simulations is then binned into a 3D histogram of particle counts in a cube of size 512x512x512, which is sampled at 4 different redshifts.
Papers
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