Gaussian Process Modeling Coronal X-ray Variability of Active Galactic Nuclei
Haiyun Zhang, Dahai Yan, Li Zhang, Niansheng Tang

TL;DR
This study models the X-ray variability of 13 active galactic nuclei using Gaussian Processes, revealing coronal timescales and suggesting internal or disk-driven mechanisms behind the variability.
Contribution
It applies Gaussian Process modeling to AGN X-ray light curves, providing new insights into coronal timescales and variability mechanisms.
Findings
Coronal X-ray timescales range from 3 to 50 days.
Some AGNs show timescales similar to optical disk timescales.
Variability may be driven by internal coronal processes or disk-corona interactions.
Abstract
The corona is an integral component of active galactic nuclei (AGNs) which can produce the X-ray emission. However, many of its physical properties and the mechanisms powering this emission remain a mystery. In this work, we study the coronal X-ray variabilities of 13 AGNs by Gaussian Process. 2-10 keV light curves of 13 AGNs can be successfully described by the damped-random walk (DRW) model. The extracted coronal X-ray timescales range from 3 to 50 days. In the plot of variability timescale versus black hole mass, the coronal X-ray timescales of four sources occupy almost the same region as the optical timescales of the accretion disk, with the latter matching the predicted thermal instability timescale of the disk. In contrast, the X-ray timescales of the remaining sources exhibit a systematic offset toward lower values. We propose that the coronal X-ray variability may be driven by…
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