Towards constraining warm dark matter with stellar streams through neural simulation-based inference

@article{Hermans2021TowardsCW,
  title={Towards constraining warm dark matter with stellar streams through neural simulation-based inference},
  author={Joeri Hermans and Nilanjan Banik and C Weniger and Gianfranco Bertone and Gilles Louppe},
  journal={Monthly Notices of the Royal Astronomical Society},
  year={2021}
}
A statistical analysis of the observed perturbations in the density of stellar streams can in principle set stringent constraints on the mass function of dark matter subhaloes, which in turn can be used to constrain the mass of the dark matter particle. However, the likelihood of a stellar density with respect to the stream and subhaloes parameters involves solving an intractable inverse problem which rests on the integration of all possible forward realizations implicitly defined by the… 

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