The role of SPICA-like missions and the Origins Space Telescope in the quest for heavily obscured AGN and synergies with Athena
L. Barchiesi, F. Pozzi, C. Vignali, F. J. Carrera, F. Vito, F. Calura,, L. Bisigello, G. Lanzuisi, C. Gruppioni, E. Lusso, I. Delvecchio, M., Negrello, A. Cooray, A. Feltre, J. A. Fern\'andez-Ontiveros, S. Gallerani, H., Kaneda, S. Oyabu, M. Pereira-Santaella, E. Piconcelli

TL;DR
This paper explores how future IR missions like SPICA-like and OST, combined with the Athena X-ray observatory, can detect and study heavily obscured AGN, advancing understanding of black hole growth and the unresolved X-ray background.
Contribution
It demonstrates the potential of combined IR and X-ray surveys to detect over 90% of AGN, especially the most obscured, and provides strategies for characterizing high-redshift black hole activity.
Findings
Over 90% of AGN can be detected with combined IR and X-ray surveys.
Athena will effectively detect and characterize moderate- and high-luminosity AGN.
SPICA-like and OST missions will sample the most obscured Compton thick AGN.
Abstract
In the BH-galaxy co-evolution framework, most of the star-formation (SF) and the black hole (BH) accretion is expected to take place in highly obscured conditions. Thus, obscured AGN are difficult to identify in optical or X-ray bands, but shine bright in the IR. Moreover, X-ray background (XRB) synthesis models predict that a large fraction of the yet-unresolved XRB is due to the most obscured (Compton thick, CT) of these AGN. In this work, we investigate the synergies between putative IR missions (using SPICA, proposed for ESA/M5 but withdrawn in October 2020, and Origins Space Telescope, OST, as `templates') and the X-ray mission Athena, which should fly in early 2030s, in detecting and characterizing AGN, with a particular focus on the most obscured ones. Using an XRB synthesis model, we estimated the number of AGN and the number of those which will be detected in the X-rays. For…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
