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[ascl:2209.006] KaRMMa: Curved-sky mass map reconstruction

KaRMMa (Kappa Reconstruction for Mass MApping) performs curved-sky mass map reconstruction using a lognormal prior from weak-lensing surveys. It uses a fully Bayesian approach with a physically motivated lognormal prior to sample from the posterior distribution of convergence maps. The posterior distribution of KaRMMa maps are nearly unbiased in one-point and two-point functions and peak/void counts. KaRMMa successfully captures the non-Gaussian nature of the distribution of κ values in the simulated maps, and KaRMMa posteriors correctly characterize the uncertainty in summary statistics.

Code site:
https://github.com/pierfied/karmma
Described in:
https://ui.adsabs.harvard.edu/abs/2022MNRAS.512...73F
Bibcode:
2022ascl.soft09006F

Views: 1052

ascl:2209.006
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