论文标题

闪光4-JY(G4JY)样本:I。定义和目录

The GLEAM 4-Jy (G4Jy) Sample: I. Definition and the catalogue

论文作者

White, Sarah V., Franzen, Thomas M. O., Riseley, Chris J., Wong, O. Ivy, Kapińska, Anna D., Hurley-Walker, Natasha, Callingham, Joseph R., Thorat, Kshitij, Wu, Chen, Hancock, Paul, Hunstead, Richard W., Seymour, Nick, Swan, Jesse, Wayth, Randall, Morgan, John, Chhetri, Rajan, Jackson, Carole, Weston, Stuart, Bell, Martin, For, Bi-Qing, Gaensler, B. M., Johnston-Hollitt, Melanie, Offringa, André, Staveley-Smith, Lister

论文摘要

Murchison Widefield阵列(MWA)在72-231 MHz范围内观察到整个南部天空(偏差,$Δ<$ 30摄入)。这些观察结果构成了银河系和外层面的全屋MWA(GLEAM)调查,并且我们使用乳乳外目录(银河纬度,$ | b |> $ 10度)来定义闪光4-JY(G4JY)样品。这是“最亮”无线电源的完整示例($ s _ {\ mathrm {151MHz}}> $ 4 jy),其中大多数是带有功能强大的放射喷射的活性银河核。至关重要的是,低频观察允许以方向无关的方式选择此类来源(即最大程度地减少多普勒促进引起的偏差,这是高频调查中固有的)。然后,我们使用高分辨率的无线电图像和其他波长的信息,以形态学对闪光中最亮的成分进行分类。我们还针对文献进行了交叉检查并进行内部匹配,以提高样本完整性(估计为$ 95.5%)。这导致目录为1,863个来源,使G4JY样本超过10倍,比修订后的第三剑桥目录的无线电源(3CRR; $ s _ {\ MATHRM {\ 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).除此之外,我们的增值目录提供了无线电发射的中红外源关联(以3.4微米为单位分辨率为6-Arcsec分辨率),如通过目视检查和针对文献的彻底检查所确定的。因此,G4JY样品可以用作通过机器学习算法进行交叉识别的可靠训练集。 [摘要用于提交Arxiv。]

The Murchison Widefield Array (MWA) has observed the entire southern sky (Declination, $δ<$ 30 deg) at low radio-frequencies, over the range 72-231 MHz. These observations constitute the GaLactic and Extragalactic All-sky MWA (GLEAM) Survey, and we use the extragalactic catalogue (Galactic latitude, $|b| >$ 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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