PRIMUS: Infrared and X-ray AGN Selection Techniques at 0.2<z<1.2
Alexander J. Mendez, Alison L. Coil, James Aird, Aleksandar M., Diamond-Stanic, John Moustakas, Michael R. Blanton, Richard J. Cool, Daniel, J. Eisenstein, Kenneth C. Wong, Guangtun Zhu

TL;DR
This study compares infrared and X-ray techniques for selecting active galactic nuclei (AGNs) at redshifts 0.2 to 1.2, analyzing their overlap, contamination, and the effects of survey depth on detection efficiency.
Contribution
It provides a comprehensive comparison of IR and X-ray AGN selection methods across various depths and redshifts, highlighting their overlap and biases in host galaxy properties.
Findings
Approximately 75% of IR-AGN are also X-ray AGN at similar depths.
Deep X-ray data increases the overlap to about 90%, suggesting IR selection misses heavily obscured AGN.
IR-AGN selection can be contaminated by star-forming galaxies in deep IR data.
Abstract
We present a study of Spitzer/IRAC and X-ray active galactic nuclei (AGNs) selection techniques in order to quantify the overlap, uniqueness, contamination, and completeness of each. We investigate how the overlap and possible contamination of the samples depends on the IR and X-ray depths. We use Spitzer/IRAC imaging, Chandra and XMM X-ray imaging, and PRism MUlti-object Survey (PRIMUS) spectroscopic redshifts to construct galaxy and AGN samples at 0.2<z<1.2 over 8 deg^2. We construct samples over a wide range of IRAC flux limits (SWIRE to GOODS depth) and X-ray flux limits (10 ks to 2 Ms). We compare IR-AGN samples defined using the IRAC color selection of Stern et al. and Donley et al. with X-ray detected AGN samples. For roughly similar depth IR and X-ray surveys, we find that ~75% of IR-AGN are identified as X-ray AGN. This fraction increases to ~90% when comparing against the…
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.
