Bayesian Galaxy Shape Measurement for Weak Lensing Surveys -II. Application to Simulations
T. D. Kitching, L. Miller, C. E. Heymans, L. van Waerbeke, A. F., Heavens

TL;DR
This paper presents an improved Bayesian galaxy shape measurement method for weak lensing surveys, demonstrating reduced shear bias and stability across simulations, which enhances the robustness of cosmological constraints.
Contribution
The paper introduces an iterative algorithm for estimating the intrinsic ellipticity prior and applies it to simulations, achieving lower shear bias than previous methods.
Findings
Shear bias m ~ 0.005 in STEP1 simulations
Shear bias m ~ 0.002 in STEP2 simulations
Bias and offset are stable to galaxy magnitude and size variations
Abstract
We extend the Bayesian model fitting shape measurement method presented in Miller et al. (2007) and use the method to estimate the shear from the Shear TEsting Programme simulations (STEP). The method uses a fast model fitting algorithm which uses realistic galaxy profiles and analytically marginalises over the position and amplitude of the model by doing the model fitting in Fourier space. This is used to find the full posterior probability in ellipticity so that the shear can be estimated in a fully Bayesian way. The Bayesian shear estimation allows measurement bias arising from the presence of random noise to be removed. In this paper we introduce an iterative algorithm that can be used to estimate the intrinsic ellipticity prior and show that this is accurate and stable. By using the method to estimate the shear from the STEP1 simulations we find the method to have a shear bias of m…
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