Painting halos from 3D dark matter fields using Wasserstein mapping networks

@article{Ramanah2019PaintingHF,
  title={Painting halos from 3D dark matter fields using Wasserstein mapping networks},
  author={Doogesh Kodi Ramanah and Tom Charnock and Guilhem Lavaux},
  journal={arXiv: Cosmology and Nongalactic Astrophysics},
  year={2019}
}
  • Doogesh Kodi Ramanah, Tom Charnock, Guilhem Lavaux
  • Published 2019
  • Physics
  • arXiv: Cosmology and Nongalactic Astrophysics
  • We present a novel halo painting network that learns to map approximate 3D dark matter fields to realistic halo distributions. This map is provided via a physically motivated network with which we can learn the non-trivial local relation between dark matter density field and halo distributions without relying on a physical model. Unlike other generative or regressive models, a well motivated prior and simple physical principles allow us to train the mapping network quickly and with relatively… CONTINUE READING

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