Comparison of classical and Bayesian imaging in radio interferometry: Cygnus A with <monospace>CLEAN</monospace> and <monospace>resolve</monospace>

Arras, Philipp; Bester, Hertzog L.; Perley, Richard A.; Leike, Reimar; Smirnov, Oleg; Westermann, Ruediger und Ensslin, Torsten A. (2021): Comparison of classical and Bayesian imaging in radio interferometry: Cygnus A with <monospace>CLEAN</monospace> and <monospace>resolve</monospace>. In: Astronomy & Astrophysics, Bd. 646, A84

Abstract

CLEAN, the commonly employed imaging algorithm in radio interferometry, suffers from a number of shortcomings: In its basic version, it does not have the concept of diffuse flux, and the common practice of convolving the CLEAN components with the CLEAN beam erases the potential for super-resolution;it does not output uncertainty information;it produces images with unphysical negative flux regions;and its results are highly dependent on the so-called weighting scheme as well as on any human choice of CLEAN masks for guiding the imaging. Here, we present the Bayesian imaging algorithm resolve , which solves the above problems and naturally leads to super-resolution. We take a VLA observation of Cygnus A at four different frequencies and image it with single-scale CLEAN, multi-scale CLEAN, and resolve. Alongside the sky brightness distribution, resolve estimates a baseline-dependent correction function for the noise budget, the Bayesian equivalent of a weighting scheme. We report noise correction factors between 0.4 and 429. The enhancements achieved by resolve come at the cost of higher computational effort.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Physik
• Themengebiete: 500 Naturwissenschaften und Mathematik > 530 Physik
• ISSN: 0004-6361
• Sprache: Englisch