Bayesian Source Discrimination in Radio Interferometry

Autor:	Hague, Peter, Ye, Haoyang, Nikolic, Bojan, Gull, Steve
Rok vydání:	2018
Předmět:	Astrophysics - Instrumentation and Methods for Astrophysics
Druh dokumentu:	Working Paper
DOI:	10.1093/mnras/sty3416
Popis:	Methods currently in use for locating and characterising sources in radio interferometry maps are designed for processing images, and require interferometric maps to be preprocessed 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. Comment: 8 pages, accepted by MNRAS
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1807.01719 Zobrazit plný text záznamu View this record from Arxiv