Revisiting Stochastic Variability of AGNs with Structure Functions
Szymon Koz{\l}owski

TL;DR
This study analyzes a large sample of AGN light curves to clarify their variability characteristics, confirming the damped random walk model and providing detailed estimates of variability parameters and their correlations.
Contribution
It offers a comprehensive analysis of AGN variability using structure functions, modeling the data with stochastic processes, and clarifies the relationship between variability parameters and physical properties.
Findings
The SF slope peaks at ~0.55, consistent with the DRW model.
The typical optical decorrelation timescale is about 1 year.
Variability amplitude correlates with black hole mass and anticorrelates with luminosity.
Abstract
Discrepancies between reported structure function (SF) slopes and their overall flatness as compared to expectations from the damped random walk (DRW) model, which generally well describes the variability of active galactic nuclei (AGNs), have triggered us to study this problem in detail. We review common AGN variability observables and identify their most common problems. Equipped with this knowledge, we study ~9000 r-band AGN light curves from Stripe 82 of the Sloan Digital Sky Survey, using SFs described by stochastic processes with the power exponential covariance matrix of the signal. We model the "subensemble" SFs in the redshift-absolute magnitude bins with the full SF equation (including the turnover and the noise part) and a single power law (SPL; in the "red noise regime" after subtracting the noise term). The distribution of full-equation SF (SPL) slopes peaks at gamma = 0.55…
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