Characterizing the γ-Ray Variability of Active Galactic Nuclei with the Stochastic Process Method

  • Zhang 张 H
  • Yan 闫 D
  • Zhang 张 L
31Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Gamma-ray astronomy in the 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 γ -ray variabilities of 23 jetted AGNs by applying a stochastic process method to the ∼12.7 yr long-term light curve (LC) obtained by the 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 overdamped mode, and the parameters are poorly constrained. The SHO power spectral densities (PSDs) are the same as those of the typical DRW PSD. In the plot of the rest-frame timescale that corresponds to the broken frequency in the PSD versus black hole mass, the intrinsic, characteristic γ -ray timescales of 23 AGNs occupy almost the same space with the optical variability timescales obtained from the accretion disk emission. This suggests a connection between the jet and the accretion disk. As with the optical variability of the AGN accretion disk, the γ -ray timescale is also consistent with the thermal timescale caused by the thermal instability in the standard accretion disk of AGNs.

Cite

CITATION STYLE

APA

Zhang 张, H. 海云, Yan 闫, D. 大海, & Zhang 张, L. 力. (2022). Characterizing the γ-Ray Variability of Active Galactic Nuclei with the Stochastic Process Method. The Astrophysical Journal, 930(2), 157. https://doi.org/10.3847/1538-4357/ac679e

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free