Characterizing the $\gamma$-Ray Variability of Active Galactic Nuclei with Stochastic Process Method
Haiyun Zhang, Dahai Yan, Li Zhang

TL;DR
This study analyzes the long-term gamma-ray variability of 23 active galactic nuclei using stochastic process models, revealing a connection between gamma-ray and optical variability timescales and suggesting a link between jet activity and accretion disk processes.
Contribution
It applies stochastic process models to gamma-ray light curves of AGNs, demonstrating their effectiveness in characterizing variability and linking gamma-ray timescales to accretion disk thermal timescales.
Findings
Both SHO and DRW models fit the AGN gamma-ray variability well.
Gamma-ray characteristic timescales align with optical variability timescales.
Gamma-ray timescales are consistent with thermal timescales in accretion disks.
Abstract
The -ray astronomy in time domain has been by now progressed further as the variabilities of Active Galactic Nuclei (AGNs) on different timescales have been reported a lot. We study the -ray variabilities of 23 jetted AGNs through applying a stochastic process method to the ~12.7 yr long-term light curve (LC) obtained by Fermi-Large Area Telescope (Fermi-LAT). In this method, the stochastically driven damped simple harmonic oscillator (SHO) and the damped random walk (DRW) models are used to model the long-term LCs. Our results show that the long-term variabilities of 23 AGNs can be characterized well by both SHO and DRW models. However, the SHO model is restricted in the over-damped mode and the parameters are poorly constrained. The SHO power spectral densities (PSDs) are same as the typical DRW PSD. In the plot of the rest-frame timescale that corresponds to the…
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