Reliable Shapelet Image Analysis

Abstract

Aims: We discuss the applicability and reliability of the shapelet technique for scientific image analysis. Methods: We quantify the effects of non-orthogonality of sampled shapelet basis functions and misestimation of shapelet parameters. We perform the shapelet decomposition on artificial galaxy images with underlying shapelet models and galaxy images from the GOODS survey, comparing the publicly available IDL implementation with our new C++ implementation. Results: Non-orthogonality of the sampled basis functions and misestimation of the shapelet parameters can cause substantial misinterpretation of the physical properties of the decomposed objects. Additional constraints, image preprocessing and enhanced precision have to be incorporated in order to achieve reliable decomposition results.

12 pages, 15 figures, revised version, accepted by A&A

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Cited by in corpus (15)

• Gravitational Lensing Analysis of the Kilo Degree Survey
• The Frontier Fields Lens Modeling Comparison Project
• Realistic simulations of gravitational lensing by galaxy clusters: extracting arc parameters from mock DUNE images
• Limitations for shapelet-based weak-lensing measurements
• Lensed: a code for the forward reconstruction of lenses and sources from strong lensing observations
• Parametrising arbitrary galaxy morphologies: potentials and pitfalls
• Flexion measurement in simulations of Hubble Space Telescope data
• Euclid Preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong lensing events
• Quantifying galaxy shapes: Sersiclets and beyond
• Soft clustering analysis of galaxy morphologies: A worked example with SDSS
• Accuracy of photometric redshifts for future weak lensing surveys from space
• Deconvolution with Shapelets
• Three-dimensional shapelets and an automated classification scheme for dark matter haloes
• Determining neutron star masses with weak microlensing
• Weak Microlensing