Identifying AGNs in low-mass galaxies via long-term optical variability
Vivienne F. Baldassare, Marla Geha, Jenny Greene

TL;DR
This study uses long-term optical variability analysis of SDSS data to identify active galactic nuclei in low-mass galaxies, revealing a higher AGN fraction with increasing stellar mass and highlighting variability as a key detection method.
Contribution
It introduces a variability-based method to detect AGNs in low-mass, star-forming galaxies, expanding the detection techniques beyond traditional emission line diagnostics.
Findings
135 galaxies with AGN-like variability identified
AGN fraction increases with galaxy stellar mass
Variability detection uncovers AGNs missed by other methods
Abstract
We present an analysis of the nuclear variability of nearby () galaxies with Sloan Digital Sky Survey (SDSS) spectroscopy in Stripe 82. We construct light curves using difference imaging of SDSS g-band images, which allows us to detect subtle variations in the central light output. We select variable AGN by assessing whether detected variability is well-described by a damped random walk model. We find 135 galaxies with AGN-like nuclear variability. While most of the variability-selected AGNs have narrow emission lines consistent with the presence of an AGN, a small fraction have narrow emission lines dominated by star formation. The star-forming systems with nuclear AGN-like variability tend to be low-mass (), and may be AGNs missed by other selection techniques due to star formation dilution or low-metallicities. We explore the AGN…
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