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Hybrid morphology radio sources from FIRST survey

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arxiv astro-ph/0509497 v3 pith:GQ4FVPFD submitted 2005-09-16 astro-ph

classification astro-ph
keywords hymorsmorphologyfirstclassfr-dichotomyhybridlobenumber
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The so-called HYbrid MOrphology Radio Sources (HYMORS) are a class of objects that appear to have a mixed Fanaroff-Riley (FR) morphology in a single object; i.e. a HYMORS has an FR I-type lobe on one side of its nucleus and an FR II-type lobe on the other side. Because of this unique feature and given that the origin of the FR morphological dichotomy is still unclear, HYMORS may possibly play a crucial role in our understanding of the FR-dichotomy. As the number of known HYMORS is quite small, we aimed to increase that number by inspecting a few areas of the sky covered by the VLA FIRST survey and by selecting 21 HYMORS candidates based on the morphology shown in the FIRST images. They were observed with the VLA in B-conf. at 4.9 GHz. Three objects from the initial sample turned out to be actual HYMORS and two others very likely to fulfill the criteria. These five were subsequently re-observed with the VLA in A-conf. at 1.4 GHz. Our results provide strong support to the findings of Gopal-Krishna & Wiita (2000), namely that there are two different kinds of jets in HYMORS; consequently, the existence of FR-dichotomy as a whole is difficult to reconcile with the class of explanations that posit fundamental differences in the central engine.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 63 citations worldwide. Full citation record

  1. Exploring the Influence of the Jet-environment Interactions on the Observed Asymmetry of Extragalactic Radio Sources with SKAO

    astro-ph.GA 2026-07 conditional novelty 2.5 of 10

    A review chapter argues that jet-environment interactions drive radio-source arm-length and flux asymmetries and that SKAO will enable population-scale tests of those effects.

  2. Source Finding and Characterisation for SKAO Science

    astro-ph.IM 2026-07 accept novelty 2.0 of 10

    A review of classical and ML source-finding and morphological classification techniques for SKAO-scale continuum and spectral-line surveys, with emphasis on limitations and pipeline needs.

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