Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/6354
Title: Improved characterization of intranight optical variability of prominent AGN classes
Authors: Goyal, A
Gopal-Krishna
Wiita, P. J
Stalin, C. S
Sagar, R
Keywords: Methods:data analysis;Methods: statistical;Techniques: photometric;Galaxies: active
Issue Date: 21-Oct-2013
Publisher: Oxford University Press on behalf of the Royal Astronomical Society
Citation: Monthly Notices of the Royal Astronomical Society, Vol. 435, No. 2, pp. 1300-1312
Abstract: The incidence of intranight optical variability (INOV) is known to differ significantly among different classes of powerful active galactic nuclei (AGN). A number of statistical methods have been employed in the literature for testing the presence of INOV in the light curves, sometimes leading to discordant results. In this paper, we compare the INOV characteristics of six prominent classes of AGN, as evaluated using three commonly used statistical tests, namely the χ2-test, the modified C-test and the F-test, which has recently begun to gain popularity. The AGN classes considered are: radio-quiet quasars, radio-intermediate quasars, lobe-dominated quasars, low optical polarization core-dominated quasars, high optical polarization core-dominated quasars and TeV blazars. Our analysis is based on a large body of AGN monitoring data, involving 262 sessions of intranight monitoring of a total 77 AGN, using 1–2 m class optical telescopes located in India. In order to compare the usefulness of the statistical tests, we have also subjected them to a ‘sanity check’ by comparing the number of false positives yielded by each test with the corresponding statistical prediction. The present analysis is intended to serve as a benchmark for future INOV studies of AGN of different classes.
Description: Restricted Access
URI: http://hdl.handle.net/2248/6354
ISSN: 1365-2966
???metadata.dc.rights???: © Royal Astronomical Society
???metadata.dc.relation.uri???: http://dx.doi.org/10.1093/mnras/stt1373
Appears in Collections:Publications based on data from IAO, Hanle
IIAP Publications

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