Consistent cosmic shear in the face of systematics: a B-mode analysis of KiDS-450, DES-SV and CFHTLenS
Marika Asgari, Catherine Heymans, Hendrik Hildebrandt, Lance Miller, Peter Schneider, Alexandra Amon, Ami Choi, Thomas Erben, Christos Georgiou, Joachim Harnois-Deraps, Konrad Kuijken
TL;DR
COSEBIs enable clean $E$-/$B$-separation over finite angular ranges to diagnose non-lensing $B$-modes in KiDS-450, DES-SV, and CFHTLenS. The authors model a suite of systematics, including PSF leakage, repeating additive biases, random PSF residuals, and a novel photometric redshift selection bias, using mock SLICS/KiDS-like data to interpret $B$-mode signatures and their impact on cosmological inferences. They find strong $B$-modes in DES-SV (up to $5.5\sigma$ tomographic), weaker or absent $B$-modes in KiDS-450 and CFHTLenS in many analyses, and show that systematic-induced biases can push $\Sigma_8=\sigma_8(\Omega_m/0.3)^\alpha$ high, underscoring the need for robust $B$-mode diagnostics in future surveys. The study advocates using COSEBIs and compressed COSEBIs for $B$-mode null tests and cosmology-relevant data compression, while highlighting a newly identified photometric-redshift selection bias as a key systematic to mitigate. Together, these results advance practical guidelines for detecting and mitigating systematics in weak lensing cosmic shear analyses.
Abstract
We analyse three public cosmic shear surveys; the Kilo-Degree Survey (KiDS-450), the Dark Energy Survey (DES-SV) and the Canada France Hawaii Telescope Lensing Survey (CFHTLenS). Adopting the COSEBIs statistic to cleanly and completely separate the lensing E-modes from the non-lensing B-modes, we detect B-modes in KiDS-450 and CFHTLenS at the level of about 2.7 $σ$. For DES- SV we detect B-modes at the level of 2.8 $σ$ in a non-tomographic analysis, increasing to a 5.5 $σ$ B-mode detection in a tomographic analysis. In order to understand the origin of these detected B-modes we measure the B-mode signature of a range of different simulated systematics including PSF leakage, random but correlated PSF modelling errors, camera-based additive shear bias and photometric redshift selection bias. We show that any correlation between photometric-noise and the relative orientation of the galaxy to the point-spread-function leads to an ellipticity selection bias in tomographic analyses. This work therefore introduces a new systematic for future lensing surveys to consider. We find that the B-modes in DES-SV appear similar to a superposition of the B-mode signatures from all of the systematics simulated. The KiDS-450 and CFHTLenS B-mode measurements show features that are consistent with a repeating additive shear bias.
