Physical Bayesian modelling of the non-linear matter distribution: New insights into the nearby universe

@article{Jasche2018PhysicalBM,
  title={Physical Bayesian modelling of the non-linear matter distribution: New insights into the nearby universe},
  author={Jens Jasche and Guilhem Lavaux},
  journal={Astronomy \& Astrophysics},
  year={2018}
}
Accurate analyses of present and next-generation cosmological galaxy surveys require new ways to handle effects of non-linear gravitational structure formation processes in data. To address these needs we present an extension of our previously developed algorithm for Bayesian Origin Reconstruction from Galaxies (BORG) to analyse matter clustering at non-linear scales in observations. This is achieved by incorporating a numerical particle mesh model of gravitational structure formation into our… 

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