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Extracting information from AGN variability
Journal article   Open access

Extracting information from AGN variability

Vishal P. Kasliwal, Michael S. Vogeley and Gordon T. Richards
Monthly notices of the Royal Astronomical Society, v 470(3), pp 3027-3048
01 Sep 2017
url
https://doi.org/10.1093/mnras/stx1420View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze) Open

Abstract

Astronomy & Astrophysics Physical Sciences Science & Technology
Active galactic nuclei (AGNs) exhibit rapid, high-amplitude stochastic flux variations across the entire electromagnetic spectrum on time-scales ranging from hours to years. The cause of this variability is poorly understood. We present a Green's function-based method for using variability to (1) measure the time-scales on which flux perturbations evolve and (2) characterize the driving flux perturbations. We model the observed light curve of an AGN as a linear differential equation driven by stochastic impulses. We analyse the light curve of the Kepler AGN Zw 229-15 and find that the observed variability behaviour can be modelled as a damped harmonic oscillator perturbed by a coloured noise process. The model power spectrum turns over on time-scale 385 d. On shorter time-scales, the log-power-spectrum slope varies between 2 and 4, explaining the behaviour noted by previous studies. We recover and identify both the 5.6 and 67 d time-scales reported by previous work using the Green's function of the Continuous-time AutoRegressive Moving Average equation rather than by directly fitting the power spectrum of the light curve. These are the time-scales on which flux perturbations grow, and on which flux perturbations decay back to the steady-state flux level, respectively. We make the software package KALI used to study light curves using our method available to the community.

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Astronomy & Astrophysics
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