J/MNRAS/512/6104 ASKAP radio sources in G23 field (Gurkan+, 2022)
Deep ASKAP EMU Survey of the GAMA23 field properties of radio sources.
Gurkan G., Prandoni I., O'Brien A., Raja W., Marchetti L., Vaccari M.,
Driver S., Taylor E., Franzen T., Brown M.J.I., Shabala S., Andernach H.,
Hopkins A.M., Norris R.P., Leahy D., Bilicki M., Farajollahi H., Galvin T.,
Heald G., Koribalski B.S., An T., Warhurst K.
<Mon. Not. R. Astron. Soc. 512, 6104-6121 (2022)>
=2022MNRAS.512.6104G 2022MNRAS.512.6104G (SIMBAD/NED BibCode)
ADC_Keywords: Surveys ; Radio sources ; Radio continuum ; Galaxies ;
Positional data ; Morphology
Keywords: catalogues - surveys - radio continuum: galaxies -
radio continuum: general
Abstract:
We present the Australian Square Kilometre Array Pathfinder (ASKAP)
observations of the Galaxy and Mass Assembly (GAMA)-23h field. The
survey was carried out at 887.5 MHz and covers an ∼83 square deg
field. We imaged the calibrated visibility data, taken as part of the
Evolutionary Mapping of Universe Early Science Programme, using the
latest version of the ASKAPSoft pipeline. The final mosaic has an
angular resolution of 10 arcsec and a central rms noise of around 38
µJy beam-1. The derived radio source catalogue has 39812 entries
above a peak flux density threshold of 5σ. We searched for the
radio source host galaxy counterparts using the GAMA spectroscopic
(with an i-band magnitude limit of 19.2 mag) and multiwavelength
catalogues that are available as part of the collaboration. We
identified hosts with GAMA spectroscopic redshifts for 5934 radio
sources. We describe the data reduction, imaging, and source
identification process, and present the source counts. Thanks to the
wide area covered by our survey, we obtain very robust counts down to
0.2 mJy. ASKAP's exceptional survey speed, providing efficient,
sensitive, and high-resolution mapping of large regions of the sky in
conjunction with the multiwavelength data available for the GAMA23
field, allowed us to discover 63 giant radio galaxies. The data
presented here demonstrate the excellent capabilities of ASKAP in the
pre-SKA era.
Description:
In this work, we describe the observations of G23 (as part of the EMU
program) by the radio Australian SKA Pathfinder ASKAP which works
centered on 887.5 MHz with 288 MHz bandwidth. As exlpained in section
2, ASKAP data of the G23 field were reduced using ASKAPSoft in 2019.
Next (i.e section 3 Data Quality), the source extraction is done with
PyBDSF algorithm on map images. Also, to assign astrometric presicion,
multiple cross-matches are done with PyBDSF product catalog and GAMA,
KiDS, Viking. Results of the final catalog are provided in table.dat
where 39812 radio sources are recorded including 25087 sources with
host galaxy counterparts (i.e section 4.2 and 4.4 for details on host
galaxies cross-matches).
File Summary:
--------------------------------------------------------------------------------
FileName Lrecl Records Explanations
--------------------------------------------------------------------------------
ReadMe 80 . This file
table.dat 449 39812 The final ASKAP radio source catalogue in G23
field region
--------------------------------------------------------------------------------
See also:
J/A+A/635/A5 : LoTSS giant radio galaxies. I. (Dabhade+, 2020)
J/A+A/602/A2 : VLA-COSMOS 3 GHz Large Project. II. (Smolcic+, 2017)
J/A+A/659/A1 : LOFAR Two-metre Sky Survey (LoTSS) DR2 (Shimwell+, 2022)
J/A+A/598/A104 : LOFAR Two-metre Sky Survey (Shimwell+, 2017)
J/A+A/648/A104 : LOFAR LBA Sky Survey. I. (de Gasperin+, 2021)
J/ApJ/909/193 : The 1.266GHz MeerKAT DEEP2 component catalog
(Matthews+, 2021)
J/ApJ/915/70 : WALLABY pilot survey: HI gas in Hydra cluster (Wang+,2021)
J/MNRAS/460/4433 : SDSS Stripe 82 VLA 1-2GHz survey (Heywood+, 2016)
J/MNRAS/481/4548 : New constraints on the 1.4GHz source counts
(Prandoni+, 2018)
J/MNRAS/452/2087 : Galaxy And Mass Assembly (GAMA): DR2 (Liske+, 2015)
J/MNRAS/506/3540 : ASKAP-EMU ESP LMC Radio Continuum Survey (Pennock+, 2021)
J/MNRAS/490/1202 : ASKAP EMU ESP, Radio Continuum Survey of the SMC
(Joseph+ 2019)
J/other/PASA/38.58 : Rapid ASKAP Continuum Survey. II. RACS cat. (Hale+, 2021)
J/A+A/598/A78 : The GMRT 150MHz all-sky radio survey (Intema+, 2017)
VIII/78 : Sydney University Molonglo Sky Survey (SUMSS)
(Mauch+ 2006)
VIII/100 : GaLactic and Extragalactic All-sky MWA survey
(Hurley-Walker+, 2016)
VII/294 : The Million Quasars (Milliquas) catalogue, version 8
(Flesch, 2023)
VII/290 : The Million Quasars (Milliquas) catalogue, version 7.2
(Flesch, 2021)
VII/282 : T-RECS. Tiered Radio Extragalactic Continuum Simulation
(Bonaldi+, 2018)
V/158 : Millions of Optical Radio/X-ray Associations (MORX) v2
(Flesch, 2023)
II/344 : KiDS-ESO-DR2 multi-band source catalog (de Jong+, 2015)
II/343 : VIKING catalogue data release 2 (Edge+, 2016)
Byte-by-byte Description of file: table.dat
--------------------------------------------------------------------------------
Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 19 A19 --- Name Source name that is generated using the
final radio source position as
(EMUJHHMMSS.s+DDMMAA) (Source_Name)
21- 36 F16.12 deg RAdeg Flux-weighted right ascension (J2000) (RA)
38- 58 E21.15 deg e_RAdeg Mean uncertainty of RAdeg (E_RA)
60- 76 F17.13 deg DEdeg Flux-weighted declination (J2000) (DEC)
78- 98 E21.15 deg e_DEdeg Mean uncertainty of DEdeg (E_DEC)
100-116 F17.15 Jy Ftot Integrated radio source flux density at
887.5 MHz with 288 MHz bandwidth
(Total_flux)
118-138 E21.15 Jy e_Ftot Mean uncertainty of Ftot (ETotalflux)
140-156 F17.15 Jy/beam Fpeak Peak flux density at 887.5 MHz with
288 MHz bandwidth (Peak_flux)
158-178 E21.15 Jy/beam e_Fpeak Mean uncertainty of Fpeak (EPeakflux)
180-197 F18.14 arcsec Length ? Source length (Length)
199-217 F19.15 arcsec Width ? Source width (Width)
219-236 F18.14 deg PA Position angle (PA)
238-256 F19.15 arcsec DCMajAxis ? Deconvolved major axis (DC_Maj)
258-275 F18.15 arcsec e_DCMajAxis ? Mean uncertainty of DCMajAxis (EDCMaj)
277-294 F18.15 arcsec DCMinAxis ? Deconvolved minor axis (DC_Min)
296-312 F17.15 arcsec e_DCMinAxis ? Mean uncertainty of DCMinAxis (EDCMin)
314-331 F18.14 arcsec MajAxis ? Major axis (Maj)
333-350 F18.15 arcsec e_MajAxis ? Mean uncertainty of MajAxis (E_Maj)
352-368 F17.14 arcsec MinAxis ? Minor axis (Min)
370-386 F17.15 arcsec e_MinAxis ? Mean uncertainty of MinAxis (E_Min)
388-405 F18.14 arcsec Sep ? Separation between the farthest source
components (Separation)
407-427 E21.15 Jy/beam RMS The local rms noise used for the source
detection (Isl_rms)
429 A1 --- Source Morphology code (SCode) (1)
431-449 F19.15 arcsec Size Source size (Size) (2)
--------------------------------------------------------------------------------
Note (1): Source morphology codes are as follows:
S = Single components that were identified via visual inspection,
39489 sources in our sample
M = Multiple components that were identified via visual inspection,
323 sources in our sample
Note (2): The size of multicomponent radio sources is estimated as the average
of length and separation and deconvolved major axis is used for the
rest.
--------------------------------------------------------------------------------
History:
From electronic version of the journal
(End) Luc Trabelsi [CDS] 25-Mar-2025