Computer Science – Databases
Scientific paper
Dec 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aipc.1082..156m&link_type=abstract
CLASSIFICATION AND DISCOVERY IN LARGE ASTRONOMICAL SURVEYS: Proceedings of the International Conference: ``Classification and Di
Computer Science
Databases
Image Processing, Relativity And Gravitation, Quasars, Active Or Peculiar Galaxies, Objects, And Systems, Astronomical Catalogs, Atlases, Sky Surveys, Databases, Retrieval Systems, Archives, Etc.
Scientific paper
The shapelet basis system forms a convenient and mathematically well-established framework for describing shapes of galaxies and the telescope's point spread function (PSF). A shapelet-based image processing pipeline thus offers remarkable benefits: For weak-lensing studies, its analytic and efficient deconvolution procedure from arbitrary PSFs constitutes a significant improvement on the traditional KSB method. For complex morphologies of the lensed galaxy ensemble, it has proven to belong to the most accurate shear measurement methods available today. Furthermore, a multitude of shear estimators can be formed from the expansion coefficients, which allows cross-checking of measurements. For statistical investigation of galaxy morphologies, one profits from the significant dimensionality reduction and scale-invariance provided by the shapelet decomposition. Unfortunately, overfitting the data and unphysical high-frequency oscillations pose apparent limitations to its applicability. These problems can be remedied by minor modifications to the decomposition and deconvolution procedures.
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