Work

Bayesian source discrimination in radio interferometry

Year: 2018

Type: article

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 used sextractor, 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.

Source: Monthly Notices of the Royal Astronomical Society

DOI: 10.1093/mnras/sty3416

Authors: P R Hague, H Ye, B Nikolic, S F Gull

Institution: University of Cambridge

Language: English

Topic: Radio Astronomy Observations and Technology

Subfield: Astronomy and Astrophysics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funder: Horizon 2020

Award: G6551326838