fixed bug in KiDS tomographic bin assignment

CHANGELOG.md

@@ -6,6 +6,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [0.7.2] - 2023-06-02
+
 ### Changed
 
 - `dsigma.stacking.lens_magnification_bias` can now be used to compute the bias in the tangential shear
@@ -15,6 +17,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 - 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%
 
 ## [0.7.1] - 2023-01-18
 

dsigma/surveys/kids.py

@@ -83,7 +83,8 @@ def tomographic_redshift_bin(z_s, version=default_version):
         redshift. Returns -1 in case a redshift does not fall into any bin.
 
     """
-    z_bin = np.digitize(z_s, [0.1, 0.3, 0.5, 0.7, 0.9, 1.2]) - 1
+    z_bin = np.digitize(z_s, np.array(
+        [0.1, 0.3, 0.5, 0.7, 0.9, 1.2]) + 1e-6, right=True) - 1
     z_bin = np.where((z_s < 0.1) | (z_s >= 1.2), -1, z_bin)
 
     return z_bin

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "dsigma"
-version = "0.7.1"
+version = "0.7.2"
 requires-python = ">=3.8"
 authors = [{name = "Johannes U. Lange", email = "julange.astro@pm.me"},
            {name = "Song Huang"}]