Quantifying systematics from the shear inversion on weak-lensing peak counts

Abstract

Weak-lensing peak counts provide a straightforward way to constrain cosmology by linking local maxima of the lensing signal to the mass function. Recent applications to data have already been numerous and fruitful. However, the importance of understanding and dealing with systematics increases as data quality reaches an unprecedented level. One of the sources of systematics is the convergence-shear inversion. This effect, inevitable when carrying out a convergence field from observations, is usually neglected by theoretical peak models. Thus, it could have an impact on cosmological results. In this paper, we study the bias from neglecting (mis-modeling) the inversion. Our tests show a small but non-negligible bias. The cosmological dependence of this bias seems to be related to the parameter Sigma_8. When this bias propagates to the parameter estimation, we discovered that constraint contours involving the dark energy equation of state can differ by 2-sigma. Such an effect can be even larger for future high-precision surveys and we argue that the inversion should be properly modeled for theoretical peak models.

6 pages, 4 figures. Conformed to the published version

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• KiDS-450: Cosmological Constraints from Weak Lensing Peak Statistics - II: Inference from Shear Peaks using N-body Simulations
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• Cosmology Intertwined: A Review of the Particle Physics, Astrophysics, and Cosmology Associated with the Cosmological Tensions and Anomalies
• Weak lensing peak statistics in the era of large scale cosmological surveys
• Sparse Bayesian mass-mapping with uncertainties: peak statistics and feature locations
• Star formation and gas inflows in the OH Megamaser galaxy IRAS03056+2034
• On the effect of projections on convergence peak counts and Minkowski functionals
• Peaks in weak lensing mass maps for cluster astrophysics and cosmology
• Impact of weak-lensing mass-mapping algorithms on cosmology inference