v1.0.0

Added

• added dsigma.stacking.mean_critical_surface_density

Changed

• photometric redshift correction now always applied when computing the mean source redshift
• dsigma.stacking.lens_magnification_bias now uses dsigma.stacking.mean_critical_surface_density to estimate the critical surface density and not calculate it based on the mean lens and source redshift
• dsigma.physics.lens_magnification_shear_bias can now use angles expressed with astropy units

v0.7.2

Changed

• dsigma.stacking.lens_magnification_bias can now be used to compute the bias in the tangential shear
• mean source redshift now takes into account n(z)'s passed to dsigma.precompute.precompute

Fixed

• incompatibility with numpy 1.24
• bug in dsigma.stacking.tangential_shear when random_subtraction=True
• error in tomographic redshift bin assignment for KiDS, sources with photo-z's at the bin edges were assigned to the wrong tomographic bin, this biased KiDS lensing measurements by order 2%

v0.7.1

Changed

• dsigma.jackknife.compress_jackknife_fields now suppresses numpy warnings if columns contain NaNs

Fixed

• bug in the calculation of the photo-z dilution correction factor, led to percent-level biases in the total galaxy-galaxy lensing amplitude, did not affect DES and KiDS calculations since those are based on n(z)'s, bug was introduced in version 0.6

v0.7.0

Changed

• dsigma.precompute.add_precompute_results has been renamed to dsigma.precompute.precompute
• dsigma.precompute.add_maximum_lens_redshift has been removed and the functionality integrated into dsigma.precompute.precompute using the lens_source_cut argument
• dsigma.jackknife.add_continous_fields, dsigma.jackknife.transfer_continous_fields, dsigma.jackknife.jackknife_field_centers, and dsigma.jackknife.add_jackknife_fields have been merged into a single function, dsigma.jackknife.compute_jackknife_fields
• the computation of continuous fields to construct jackknife patches now uses DBSCAN instead of agglomerative clustering, points are also not downsampled anymore

Removed

• dsigma.stacking.shape_noise_error, please use jackknife resampling to estimate errors

v0.6.1

Changed

• significant performance improvements for dsigma.precompute.add_precompute_results

Fixed

• crashes in dsigma.stacking.shape_noise_error