Year: 2004
Type: article
Abstract: Deconvolution of the telescope Point Spread Function (PSF) is necessary for even moderate dynamic range imaging with interferometric telescopes. The process of deconvolution can be treated as a search for a model image such that the residual image is consistent with the noise model. For any search algorithm, a parameterized function representing the model such that it fundamentally separates signal from noise will give optimal results. In this paper, the first in a series of forthcoming papers, we argue that in general, spatial correlation length (a measure of the scale of emission) is a stronger separator of the signal from the noise, compared to the strength of the signal alone. Consequently scale sensitive deconvolution algorithms result into more noise-like residuals. We present a scale-sensitive deconvolution algorithm for radio interferometric images, which models the image as a collection of Adaptive Scale Pixels (Asp). Some attempts at optimizing the runtime performance are also presented.
Source: Astronomy and Astrophysics
Authors: S. Bhatnagar, T. J. Cornwell
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: bronze
Funder: National Science Foundation
OpenAlex ID: W4296350174