AKRA 3.0 uses conjugate gradient to solve the normal equations for weak lensing mass mapping, producing the highest-resolution DES Y3 convergence map to date and demonstrating unbiased power spectra extracted directly from the map.
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AKRA produces the first unbiased kappa maps from HSC Y1 shear catalogs, with simulation tests confirming no bias in power spectrum, variance, skewness, and PDF statistics.
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AKRA 3.0: A matrix-free Inversion Framework for Weak Lensing Mass Mapping and Its Application to DES Y3 Data
AKRA 3.0 uses conjugate gradient to solve the normal equations for weak lensing mass mapping, producing the highest-resolution DES Y3 convergence map to date and demonstrating unbiased power spectra extracted directly from the map.
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The first AKRA mass map reconstruction from HSC Y1 data
AKRA produces the first unbiased kappa maps from HSC Y1 shear catalogs, with simulation tests confirming no bias in power spectrum, variance, skewness, and PDF statistics.