DarkMappy: Mapping the dark universe

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DarkMappy is a lightweight python package which implements hybrid sparse-Bayesian dark-matter reconstruction techniques on the plane and on the celestial sphere. For comparison (and as initialisation for our iterations) the spherical Kaiser-Squires estimator is also implemented. These techniques are based on maximum a posteriori estimation which, by construction, support principled uncertainty quantification.

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Publications

Mapping dark matter on the celestial sphere with weak gravitational lensing

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Sparse Bayesian mass-mapping with uncertainties: full-sky observations on the celestial sphere

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Sparse Bayesian mass-mapping with uncertainties: hypothesis testing of structure

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Sparse Bayesian mass-mapping with uncertainties

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Sparse Bayesian mass-mapping with uncertainties: local credible intervals

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Sparse Bayesian mass-mapping with uncertainties: peak statistics and feature locations

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