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Bayesian galaxy shape measurement for weak lensing surveys – III. Application to the Canada–France–Hawaii Telescope Lensing Survey

2012/10/30 by L. Miller, Catherine Heymans, C. Heymans +26 · 449 citations
Computer Science · Physics and Astronomy · #Adaptive optics and wavefront sensing #Advanced Vision and Imaging #Astronomy #Astrophysics #Distortion (music) #Galaxies: Formation, Evolution, Phenomena #Galaxy #Gravitational lens #Optics #Physics #Point spread function #Redshift #Weak gravitational lensing #astro-ph.CO

paper · pdf · doi:10.1093/mnras/sts454

published in Monthly Notices of the Royal Astronomical Society 429(4), 2858-2880 (Oxford University Press) · 24 pages, submitted to MNRAS. All CFHTLenS data products (image pixel data and lensing/photo-z catalogues) are publicly released to the community via CADC on the 1st of November 2012. Please visit the CFHTLenS site http://www.cfhtlens.org for further information

arxiv created 2012/10/30 · openalex publication_date 2013/01/14 · arxiv updated 2013/08/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

A likelihood-based method for measuring weak gravitational lensing shear in deep galaxy surveys is described and applied to the Canada–France–Hawaii Telescope (CFHT) Lensing Survey (CFHTLenS). CFHTLenS comprises 154 deg2 of multi-colour optical data from the CFHT Legacy Survey, with lensing measurements being made in the i′ band to a depth i′AB < 24.7, for galaxies with signal-to-noise ratio νSN ≳ 10. The method is based on the lensfit algorithm described in earlier papers, but here we describe a full analysis pipeline that takes into account the properties of real surveys. The method creates pixel-based models of the varying point spread function (PSF) in individual image exposures. It fits PSF-convolved two-component (disc plus bulge) models to measure the ellipticity of each galaxy, with Bayesian marginalization over model nuisance parameters of galaxy position, size, brightness and bulge fraction. The method allows optimal joint measurement of multiple, dithered image exposures, taking into account imaging distortion and the alignment of the multiple measurements. We discuss the effects of noise bias on the likelihood distribution of galaxy ellipticity. Two sets of image simulations that mirror the observed properties of CFHTLenS have been created to establish the method's accuracy and to derive an empirical correction for the effects of noise bias.

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