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The Evolutionary Map of the Universe Pilot Survey

Authors :
Norris, Ray P.
Marvil, Joshua
Collier, J. D.
Kapinska, Anna D.
O'Brien, Andrew N.
Rudnick, L.
Andernach, Heinz
Asorey, Jacobo
Brown, Michael J. I.
Bruggen, Marcus
Crawford, Evan
English, Jayanne
Rahman, Syed Faisal ur
Filipovic, Miroslav D.
Gordon, Yjan
Gurkan, Gulay
Hale, Catherine
Hopkins, Andrew M.
Huynh, Minh T.
HyeongHan, Kim
Jee, M. James
Koribalski, Baerbel S.
Lenc, Emil
Luken, Kieran
Parkinson, David
Prandoni, Isabella
Raja, Wasim
Reiprich, Thomas H.
Riseley, Christopher J.
Shabala, Stanislav S.
Sheil, Jaimie R.
Vernstrom, Tessa
Whiting, Matthew T.
Allison, James R.
Anderson, C. S.
Ball, Lewis
Bell, Martin
Bunton, John
Galvin, T. J.
Gupta, Neeraj
Hotan, Aidan
Jacka, Colin
Macgregor, Peter J.
Mahony, Elizabeth K.
Maio, Umberto
Moss, Vanessa
Pandey-Pommier, M.
Voronkov, Maxim A.
Publication Year :
2021

Abstract

We present the data and initial results from the first Pilot Survey of the Evolutionary Map of the Universe (EMU), observed at 944 MHz with the Australian Square Kilometre Array Pathfinder (ASKAP) telescope. The survey covers 270 \sqdeg of an area covered by the Dark Energy Survey, reaching a depth of 25--30 \ujybm\ rms at a spatial resolution of $\sim$ 11--18 arcsec, resulting in a catalogue of $\sim$ 220,000 sources, of which $\sim$ 180,000 are single-component sources. Here we present the catalogue of single-component sources, together with (where available) optical and infrared cross-identifications, classifications, and redshifts. This survey explores a new region of parameter space compared to previous surveys. Specifically, the EMU Pilot Survey has a high density of sources, and also a high sensitivity to low surface-brightness emission. These properties result in the detection of types of sources that were rarely seen in or absent from previous surveys. We present some of these new results here.<br />Comment: Accepted by PASA

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2108.00569
Document Type :
Working Paper
Full Text :
https://doi.org/10.1017/pasa.2021.42