Journal article
A high reliability survey of discrete Epoch of Reionization foreground sources in the MWA EoR0 field
PA Carroll, J Line, MF Morales, N Barry, AP Beardsley, BJ Hazelton, DC Jacobs, JC Pober, IS Sullivan, RL Webster, G Bernardi, JD Bowman, F Briggs, RJ Cappallo, BE Corey, A de Oliveira-Costa, JS Dillon, D Emrich, A Ewall-Wice, L Feng Show all
Monthly Notices of the Royal Astronomical Society | OXFORD UNIV PRESS | Published : 2016
Abstract
Detection of the epoch of reionization HI signal requires a precise understanding of the intervening galaxies and AGN, both for instrumental calibration and foreground removal. We present a catalogue of 7394 extragalactic sources at 182 MHz detected in the RA = 0 field of the Murchison Widefield Array Epoch of Reionization observation programme. Motivated by unprecedented requirements for precision and reliability we develop new methods for source finding and selection.We apply machine learning methods to self-consistently classify the relative reliability of 9490 source candidates. A subset of 7466 are selected based on reliability class and signal-to-noise ratio criteria. These are statist..
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Awarded by National Science Foundation
Funding Acknowledgements
This scientific work makes use of the Murchison Radio-astronomy Observatory, operated by CSIRO. We acknowledge the Wajarri Yamatji people as the traditional owners of the Observatory site. Support for the operation of the MWA is provided by the Australian Government Department of Industry and Science and Department of Education (National Collaborative Research Infrastructure Strategy: NCRIS), under a contract to Curtin University administered by Astronomy Australia Limited. We acknowledge the iVEC Petabyte Data Store and the Initiative in Innovative Computing and the CUDA Center for Excellence sponsored by NVIDIA at Harvard University.r PC would like to acknowledge the support of the American Australian Association Sir Keith Murdoch fellowship and the University of Washington Graduate Opportunities and Minority Achievement Program dissertation fellowship. This work was supported by National Science Foundation grants AST-0847753, AST-1410484, and AST-1506024.