Sparse Bayesian mass mapping with uncertainties: local credible intervals

@article{Price2019SparseBM,
  title={Sparse Bayesian mass mapping with uncertainties: local credible intervals},
  author={Matthew A. Price and Xiaohao Cai and Jason D. McEwen and Marcelo Pereyra and Thomas D. Kitching},
  journal={Monthly Notices of the Royal Astronomical Society},
  year={2019},
  volume={492},
  pages={394-404}
}
Until recently, mass-mapping techniques for weak gravitational lensing convergence reconstruction have lacked a principled statistical framework upon which to quantify reconstruction uncertainties, without making strong assumptions of Gaussianity. In previous work, we presented a sparse hierarchical Bayesian formalism for convergence reconstruction that addresses this shortcoming. Here, we draw on the concept of local credible intervals (cf. Bayesian error bars) as an extension of the… Expand

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