A High Reliability Survey of Discrete Epoch of Reionization Foreground Sources in the MWA EoR0 Field
P. A. Carroll, J. Line, M. F. Morales, N. Barry, A. P. Beardsley, B., J. Hazelton, D. C. Jacobs, J. C. Pober, I. S. Sullivan, R. L. Webster, G., Bernardi, J. D. Bowman, F. Briggs, R. J. Cappallo, B. E. Corey, A. de, Oliveira-Costa, J. S. Dillon, D. Emrich, A. Ewall-Wice, L. Feng

TL;DR
This paper presents a highly reliable catalog of over 7,300 extragalactic radio sources at 182 MHz in the MWA EoR0 field, developed with new methods including machine learning for source classification, crucial for Epoch of Reionization studies.
Contribution
The paper introduces novel source finding and reliability classification techniques, including machine learning, to produce the most reliable radio source catalog for the EoR0 field to date.
Findings
Catalog contains 7369 confidently matched sources.
Median spectral index of -0.85, flattening at lower frequencies.
Astrometric accuracy of 7 arcsec.
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 statistically cross-matched to four other radio surveys using both position and flux density information. We find 7369 sources to have confident matches, including 90 partially resolved sources that split…
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