The GLEAM 4-Jy (G4Jy) Sample: I. Definition and the catalogue
The Murchison Widefield Array (MWA) has observed the entire southern sky (Declination, \(\delta \) 10 deg) to define the GLEAM 4-Jy (G4Jy) Sample. This is a complete sample of the 'brightest' radio-sources (\(S_{\mathrm{151MHz}} >\) 4 Jy), the majority of which are active galactic nucle...
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Veröffentlicht in: | arXiv.org 2020-05 |
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Zusammenfassung: | The Murchison Widefield Array (MWA) has observed the entire southern sky (Declination, \(\delta \) 10 deg) to define the GLEAM 4-Jy (G4Jy) Sample. This is a complete sample of the 'brightest' radio-sources (\(S_{\mathrm{151MHz}} >\) 4 Jy), the majority of which are active galactic nuclei with powerful radio-jets. Crucially, low-frequency observations allow the selection of such sources in an orientation-independent way (i.e. minimising the bias caused by Doppler boosting, inherent in high-frequency surveys). We then use higher-resolution radio images, and information at other wavelengths, to morphologically classify the brightest components in GLEAM. We also conduct cross-checks against the literature, and perform internal matching, in order to improve sample completeness (which is estimated to be \(>\) 95.5%). This results in a catalogue of 1,863 sources, making the G4Jy Sample over 10 times larger than that of the revised Third Cambridge Catalogue of Radio Sources (3CRR; \(S_{\mathrm{178MHz}} >\) 10.9 Jy). Of these G4Jy sources, 78 are resolved by the MWA (Phase-I) synthesised beam (\(\sim\)2 arcmin at 200 MHz), and we label 67% of the sample as 'single', 26% as 'double', 4% as 'triple', and 3% as having 'complex' morphology at \(\sim\)1 GHz (45-arcsec resolution). Alongside this, our value-added catalogue provides mid-infrared source associations (subject to 6-arcsec resolution at 3.4 micron) for the radio emission, as identified through visual inspection and thorough checks against the literature. As such, the G4Jy Sample can be used as a reliable training set for cross-identification via machine-learning algorithms. [Abstract abridged for arXiv submission.] |
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ISSN: | 2331-8422 |
DOI: | 10.48550/arxiv.2004.13125 |