Optical Variability in Active Galactic Nuclei: Starbursts or Disk Instabilities?

Details Optical Variability in Active Galactic Nuclei: Starbursts or Disk Instabilities? Optical Variability in Active Galactic Nuclei: Starbursts or Disk Instabilities?

1997-11-30

arxiv.org/abs/astro-ph/9712006v2

Astronomy and Astrophysics

Astrophysics

28 pages LaTeX; 9 postscript figures; accepted for publication in ApJ; e-mail to kawaguti@kusastro.kyoto-u.ac.jp

Scientific paper

10.1086/306105

Aperiodic optical variability is a common property of Active Galactic Nuclei (AGNs), though its physical origin is still open to question. To study the origin of the optical -- ultraviolet variability in AGN, we compare light curves of two models to observations of quasar 0957+561 in terms of a structure function analysis. In the starburst (SB) model, random superposition of supernovae in the nuclear starburst region produce aperiodic luminosity variations, while in the disk-instability (DI) model, variability is caused by instabilities in the accretion disk around a supermassive black hole. We calculate fluctuating light curves and structure functions, $V(\tau)$, by simple Monte-Carlo simulations on the basis of the two models. Each resultant $V(\tau)$ possesses a power-law portion, $[V(\tau)]^{1/2} \propto \tau^{\beta}$, at short time lags ($\tau$). The two models can be distinguished by the logarithmic slope, $\beta$; $\beta \sim$ 0.74--0.90 in the SB model and $\beta \sim$ 0.41--0.49 in the DI model, while the observed light curves exhibit $\beta \sim$ 0.35. Therefore, we conclude that the DI model is favored over the SB model to explain the slopes of the observational structure function, in the case of 0957+561, though this object is a radio-loud object and thus not really a fair test for the SB model. In addition, we examine the time-asymmetry of the light curves by calculating $V(\tau)$ separately for brightening and decaying phases. The two models exhibit opposite trends of time-asymmetry to some extent, although the present observation is not long enough to test this prediction.

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