2004/07/12 by S. Bhatnagar, T. J. Cornwell · 4 citations
Computer Science · Engineering · Physics and Astronomy · #Advanced Measurement and Metrology Techniques #Optical measurement and interference techniques #Radio Astronomy Observations and Technology #astro-ph
paper · pdf · doi:10.1051/0004-6361:20040354
published as Astron.Astrophys. 426 (2004) 747-754 · 9 pages, 5 figures, accepted for publication in Astronomy & Astrophysics
arxiv created 2004/07/12 · openalex publication_date 2004/10/11 · arxiv updated 2009/12/01 · openalex created_date 2022/09/20 · openalex updated_date 2026/08/01
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.