2021A&A...646A..84A


Query : 2021A&A...646A..84A

2021A&A...646A..84A - Astronomy and Astrophysics, volume 646A, 84-84 (2021/2-1)

Comparison of classical and Bayesian imaging in radio interferometry. Cygnus A with CLEAN and resolve.

ARRAS P., BESTER H.L., PERLEY R.A., LEIKE R., SMIRNOV O., WESTERMANN R. and ENSSLIN T.A.

Abstract (from CDS):

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.

Abstract Copyright: © P. Arras et al. 2021

Journal keyword(s): techniques: interferometric - methods: statistical - methods: data analysis - instrumentation: interferometers

Simbad objects: 2

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Number of rows : 2
N Identifier Otype ICRS (J2000)
RA
ICRS (J2000)
DEC
Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2024
#notes
1 NAME PPD2017 Cygnus A-2 BH? 19 59 28.32345 +40 44 01.9133           ~ 11 0
2 NAME Cyg A Sy2 19 59 28.35656837 +40 44 02.0972325   16.22 15.10     ~ 2354 2

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