TL;DR
This study used MeerKAT radio observations to analyze 140 GLEAM 4-Jy sources, classifying their morphology and identifying host galaxies, revealing diverse structures and some sources with ambiguous host identification despite high-resolution imaging.
Contribution
The paper provides detailed morphological classifications and host galaxy identifications for a large sample of radio sources using high-resolution MeerKAT data, improving understanding of their structures.
Findings
14 sources have WAT morphology
10 sources have head-tail morphology
98 host galaxies identified out of 140 sources
Abstract
We present the results from studying 140 radio sources in the GLEAM (GaLactic and Extragalactic All-sky MWA [Murchison Widefield Array]) 4-Jy (G4Jy) Sample. These sources were followed-up with MeerKAT to assess their radio morphology and enable host-galaxy identification, as existing radio images of 25 to 45-arcsec resolution do not provide sufficient information. We refer to these sources as the MeerKAT-2019 subset. The aim is to identify the host galaxy of these sources by visually inspecting the overlays comprising radio data from four surveys (at 150, 200, 843/1400, and 1300 MHz). Our morphological classification and host-galaxy identification relies upon the ~7-arcsec resolution images from MeerKAT (1300 MHz). Through the visual inspection of the overlays, 14 radio sources in the MeerKAT-2019 subset have wide-angle tail (WAT) morphology, 10 are head-tail, and 5 have X-, S-/Z-shaped…
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