A New Diagnostic of Active Galactic Nuclei: Revealing Highly-Absorbed Systems at Redshift>0.3
St\'ephanie Juneau (1), Mark Dickinson (2), David M. Alexander (3) and, Samir Salim (4) ((1) Steward Observatory, University of Arizona, (2) NOAO,, (3) Durham University, (4) Indiana University)

TL;DR
This paper introduces the Mass-Excitation (MEx) diagnostic for identifying active galactic nuclei at intermediate redshifts, especially highly-absorbed systems, using optical emission lines and stellar mass, validated against X-ray data.
Contribution
The paper presents a novel probabilistic diagnostic method combining [OIII]/Hbeta and stellar mass to identify AGN at z>0.3, effective without near-infrared spectroscopy.
Findings
Successfully identified Compton-thick AGN candidates.
Validated the MEx diagram against X-ray classifications.
Found that host galaxy absorption significantly contributes to AGN obscuration.
Abstract
We introduce the Mass-Excitation (MEx) diagnostic to identify active galactic nuclei (AGN) in galaxies at intermediate redshift. In the absence of near-infrared spectroscopy, necessary to use traditional nebular line diagrams at z>0.4, we demonstrate that combining [OIII]5007/Hbeta and stellar mass successfully distinguishes between star formation and AGN emission. The MEx classification scheme relies on a novel probabilistic approach splitting galaxies into sub-categories with more confidence than alternative high-z diagnostic diagrams. It recognizes that galaxies near empirical boundaries on traditional diagrams have an uncertain classification and thus a non-zero probability of belonging to more than one category. An outcome of this work is a system of statistical weights that can be used to compute global properties of galaxy samples. We apply the MEx diagram to 2,812 galaxies at…
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.
