Bayesian source discrimination in radio interferometry. Issue 1 (18th December 2018)

• Record Type: Journal Article
• Authors: Hague, P R; Ye, H; Nikolic, B; Gull, S F
• Is Part Of: Monthly notices of the Royal Astronomical Society. Volume 484:Issue 1(2019)
• Page Start: 574
• Page End: 581
• Publication Date: 2018-12-18
• Subjects: methods: data analysis -- methods: observational -- methods: statistical -- techniques: image processing -- techniques: interferometric; Astronomy -- Periodicals; Periodicals; 520.5
• DOI: 10.1093/mnras/sty3416
• Languages: English
• ISSNs: 0035-8711

Abstract

ABSTRACT: Methods currently in use for locating and characterizing sources in radio interferometry maps are designed for processing images, and require interferometric maps to be pre-processed so as to resemble conventional images. We demonstrate a Bayesian code –basc – that takes into account the interferometric visibility data despite working with more computationally manageable image domain data products. This method is better able to discriminate nearby sources than the commonly usedsextractor, and has potential even in more complicated cases. We also demonstrate the correctness of the Bayesian resolving formula for simulated data, and its implications for source discrimination at distances below the full width half maximum of the restoring beam.