Proceedings of Revisiting Narrow-Line Seyfert 1 Galaxies and Their Place in the Universe — PoS(NLS1-2018) 2018
DOI: 10.22323/1.328.0023
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Parsec-scale Nuclear Radio Structures in Seyfert Galaxies

Abstract: Radio outflows of extents ranging from a few parsecs to a few kiloparsecs are present in Seyfert and LINER galaxies that make up the "radio-quiet" AGN class. AGN jets and / or starburst superwinds have been suggested to produce these outflows. We present a brief review of radio outflows in Seyfert and LINER galaxies on different spatial scales. Very long baseline interferometry (VLBI) observations of several individual Seyferts and LINERs suggest a link between AGN jets on parsec-scales and their kiloparsec-sc… Show more

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(2 citation statements)
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“…Possible causes for the observed misalignment between the large-scale radio emission and the small-scale radio jet, the optical lobes, and optical kinematics are jet precession (e.g. Kharb et al 2014;Kharb 2018) or jet-bending due to jet-cloud interactions (as e.g. in the case of NGC 1068; Gallimore et al 1996a,b).…”
Section: Radio-optical Misalignmentmentioning
confidence: 99%
See 1 more Smart Citation
“…Possible causes for the observed misalignment between the large-scale radio emission and the small-scale radio jet, the optical lobes, and optical kinematics are jet precession (e.g. Kharb et al 2014;Kharb 2018) or jet-bending due to jet-cloud interactions (as e.g. in the case of NGC 1068; Gallimore et al 1996a,b).…”
Section: Radio-optical Misalignmentmentioning
confidence: 99%
“…This research has made use of the NASA/IPAC Extragalactic Database (NED), which is funded by the National Aeronautics and Space Administration and operated by the California Institute of Technology. This research has made use of the Python packages SciPy (Virtanen et al 2020), NumPy (Harris et al 2020), IPython (Perez & Granger 2007), Matplotlib (Hunter 2007), galpy (Bovy 2015), and Astropy (http://www.astropy.org), a community-developed core Python package for Astronomy (Astropy Collaboration et al 2013, 2018. This research has made use of the FITS files visualisation tools QFitsView https://www.mpe.mpg.de/~ott/QFitsView/) and DS9 (Joye & Mandel 2003).…”
mentioning
confidence: 99%