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[ascl:2305.011] DarkMappy: Mapping the dark universe

DarkMappy reconstructs maximum a posteriori (MAP) convergence maps by formulating an unconstrained Bayesian inference problem in order to implement hybrid Bayesian dark-matter reconstruction techniques on the plane and on the celestial sphere. These convergence maps support principled uncertainty quantification and provide hypothesis testing of structure, from which it is possible to distinguish between physical objects and artifacts of the reconstruction.

Code site:
https://github.com/astro-informatics/DarkMappy
Described in:
https://ui.adsabs.harvard.edu/abs/2021MNRAS.506.3678P https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.5436P
Bibcode:
2023ascl.soft05011P
Preferred citation method:

Please see citation information here: https://github.com/astro-informatics/DarkMappy


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ascl:2305.011
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