Nowhere to Hide: Radio-faint AGN in the GOODS-N field. II. Multi-wavelength AGN selection techniques and host galaxy properties
J. F. Radcliffe (1,2,3), P. D. Barthel (2), A. P. Thomson (3), M. A., Garrett (3,4), R. J. Beswick (3), T. W. B. Muxlow (3) ((1) University of, Pretoria, SA, (2) University of Groningen, NL, (3) University of Manchester,, UK, (4) University of Leiden, NL)

TL;DR
This study evaluates multiple AGN classification techniques using VLBI detections in the GOODS-N field, highlighting the importance of multi-wavelength approaches and revealing properties of host galaxies and AGN types.
Contribution
It provides a comprehensive comparison of 14 AGN classification methods against VLBI detections, emphasizing the necessity of multi-wavelength data and the role of VLBI in identifying diverse AGN populations.
Findings
No single technique identifies all VLBI AGN.
Infrared colour-colour selection is notably incomplete.
Many VLBI AGN lack X-ray counterparts.
Abstract
Obtaining a census of active galactic nuclei (AGN) activity across cosmic time is critical to our understanding of galaxy evolution and formation. Many AGN classification techniques are compromised by dust obscuration. However, very long baseline interferometry (VLBI) can be used to identify compact emission that can only be attributed to AGN activity. This is the second in a series of papers dealing with the compact radio population in the GOODS-N field. We review 14 different AGN classification techniques in the context of a VLBI-detected sample, and use these to investigate the nature of the AGN as well as their host galaxies. We find that no single identification technique can identify all VLBI objects as AGN. Infrared colour-colour selection is most notably incomplete. However, the usage of multiple classification schemes can identify all VLBI-selected AGN, independently…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Radio Astronomy Observations and Technology · Astrophysical Phenomena and Observations
