A new infrared color criterion for the selection of 0<z<7 AGN: application to deep fields and implications for JWST surveys
Hugo Messias, Jose M. Afonso, Mara Salvato, Bahram Mobasher, Andrew M., Hopkins

TL;DR
This paper develops new infrared color criteria using JWST wavelength ranges to improve the selection of AGN across a wide redshift range, aiming for higher completeness and lower contamination in deep field surveys.
Contribution
It introduces new IR color diagnostics and criteria (KI and KIM) optimized for JWST data to enhance AGN detection efficiency from low to high redshifts.
Findings
KI achieves 50-60% completeness with 50-90% success rate.
KIM can select AGN up to z~7 with 30-40% completeness.
KI and KIM are robust against flux errors and ready for immediate application.
Abstract
[Abridged] It is widely accepted that observations at mid-infrared (mid-IR) wavelengths enable the selection of galaxies with nuclear activity, which may not be revealed even in the deepest X-ray surveys. In this work new near- and mid-IR color diagnostics are explored, aiming for improved efficiency - better completeness and less contamination - in selecting AGN out to very high redshifts. We restrict our study to the James Webb Space Telescope wavelength range (0.6-27um). The criteria are created based on the predictions by state-of-the-art galaxy and AGN templates covering a wide variety of galaxy properties, and tested against control samples with deep multi-wavelength coverage (ranging from the X-rays to radio frequencies). We show that the colors Ks-[4.5], [4.5]-[8.0], and [8.0]-[24] are ideal as AGN/non-AGN diagnostics at, respectively, z<~1, 1<~z<~2.5, and z>~2.5-3. However,…
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