Paper
9 September 2019 Radio astronomical image restoration with shape constraint
Author Affiliations +
Abstract
Weak gravitational lensing is a very promising probe for cosmology that relies on highly precise shape measurements. Several new instruments are being deployed and will allow for weak lensing studies on unprecedented scales, and at new frequencies. In particular, some of these new instruments should allow for the blooming of radio-weak lensing, specially the SKA with many Petabits per second of raw data.1 Hence, great challenges will be waiting at the turn. In addition, processing methods should be able to extract the highest precision possible and ideally, be applicable to radio-astronomy. For the moment, the two methods that already exist do not satisfy both conditions. In this paper, we present a new plug-and-play solution where we add a shape constraint to deconvolution algorithms and results show measurements improvement of at least 20%.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fadi Nammour, Morgan A. Schmitz, Fred Ngolè, Jean-Luc Starck, and Julien N. Girard "Radio astronomical image restoration with shape constraint", Proc. SPIE 11138, Wavelets and Sparsity XVIII, 111380A (9 September 2019); https://doi.org/10.1117/12.2530204
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KEYWORDS
Signal to noise ratio

Galactic astronomy

Denoising

Deconvolution

Image restoration

Astronomy

Point spread functions

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