Comments on Cross-Correlation Methodology in Variability Studies of Active Galactic Nuclei
Abstract
We discuss two separate cross-correlation methdologies, the interpolation method of Gaskell and Sparkle and the discrete correlation function of Edelson and Krolik, that are commonly used to quantify the lags between continuum and emission-line flux variations in active galactic nuclei (AGNs). We show that if similar assumptions are made to normalize the cross-correlation functions, the two methods are in good agreement for well-sampled AGN light curves. We also investigate the performance of cross-correlation methodology for less well-sampled data sets through Monte Carlo simulations that employ realistic models of the continuum behavior (based on well-observed Seyfert galaxies) and typical emission-line response times. We find that the interpolation method fairly accurately recovers the emission-line lags as the sampling is degraded (i.e., as the number of observed points is reduced). We find that for the cases investigated, the emission-line lags can be determined with reasonable accuracy even with mean sampling intervals as large as around two weeks. (SECTION: Quasars and Active Galactic Nuclei)
- Publication:
-
Publications of the Astronomical Society of the Pacific
- Pub Date:
- August 1994
- DOI:
- Bibcode:
- 1994PASP..106..879W
- Keywords:
-
- Active Galactic Nuclei;
- Astronomical Models;
- Continuums;
- Cross Correlation;
- Light Curve;
- Real Variables;
- Algorithms;
- Emission Spectra;
- Line Spectra;
- Monte Carlo Method;
- Time Lag;
- Transfer Functions;
- Astronomy;
- GALAXIES: ACTIVE