Mid-infrared Variability-based AGN Selection using the Multi-epoch Photometric Data from WISE
Shinyu Kim, Minjin Kim, Suyeon Son, Luis C. Ho

TL;DR
This study evaluates mid-infrared variability as a method to identify active galactic nuclei (AGNs) using WISE data, revealing its effectiveness in detecting AGNs in various host galaxies and its limitations in LINERs.
Contribution
The paper introduces a MIR variability-based AGN selection technique utilizing multi-epoch WISE data, demonstrating its ability to find AGNs in optically inactive hosts and analyzing its dependence on host galaxy properties.
Findings
Recovers ~28.2% of optically selected AGNs.
Identifies AGN candidates in 0.4-11.8% of inactive galaxies.
AGN fraction increases with star formation activity.
Abstract
We assess the systematics and efficiency of an AGN selection method based on mid-infrared (MIR) variability. To this end, we utilize various types of active and inactive galaxies from the Sloan Digital Sky Survey, matching them with multi-epoch photometric data from the NEOWISE mission. Using W1 and W2 band light curves with a -year baseline, we find that combining the likelihood of deviation from non-variability with the correlation coefficient between the W1 and W2 bands reliably identifies AGNs. Specifically, this MIR-based method recovers of optically selected AGNs. Applying the same technique to inactive galaxies, we identify AGN candidates at fractions ranging from to , indicating that MIR variability allows us to detect AGN candidates even in optically inactive hosts. While some variable sources exhibit transient-like light curves, possibly…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Astrophysical Phenomena and Observations
