Abstract
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.
Original language | English (US) |
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Pages (from-to) | 156-162 |
Number of pages | 7 |
Journal | AIP Conference Proceedings |
Volume | 1082 |
DOIs | |
State | Published - 2008 |
Externally published | Yes |
Event | Classification and Discovery in Large Astronomical Surveys - Ringberg Castle, Germany Duration: Oct 14 2008 → Oct 17 2008 |
All Science Journal Classification (ASJC) codes
- General Physics and Astronomy
Keywords
- Galaxy morphology
- Gravitational lensing
- Image processing