2006
DOI: 10.1086/500585
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A Synoptic Multiwavelength Analysis of a Large Quasar Sample

Abstract: We present variability and multiwavelength photometric information for the 933 known quasars in the QUEST Variability Survey. These quasars are grouped into variable and nonvariable populations based on measured variability confidence levels. In a time-limited synoptic survey, we detect an anticorrelation between redshift and the likelihood of variability. Our comparison of variability likelihood to radio, IR, and X-ray data is consistent with earlier quasar studies. Using already known quasars as a template, … Show more

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Cited by 28 publications
(41 citation statements)
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“…The error bar indicates the RMS within that bin, which is much larger than the value obtained from error propagation. For type I AGNs, the structure function with timescales larger than 10 days can generally be well fitted by power law function, with in-dex ∼ 0.3−0.4 (Vanden Berk et al 2004;Rengstorf et al 2006;Wilhite et al 2008;Meusinger et al 2011).…”
Section: Optical Variabilitymentioning
confidence: 97%
See 1 more Smart Citation
“…The error bar indicates the RMS within that bin, which is much larger than the value obtained from error propagation. For type I AGNs, the structure function with timescales larger than 10 days can generally be well fitted by power law function, with in-dex ∼ 0.3−0.4 (Vanden Berk et al 2004;Rengstorf et al 2006;Wilhite et al 2008;Meusinger et al 2011).…”
Section: Optical Variabilitymentioning
confidence: 97%
“…Another commonly used tool to test the variability is the structure function (Simonetti et al 1985;Kawaguchi et al 1998;Hawkins 2002;de Vries et al 2005;Bauer et al 2009;Meusinger et al 2011;di Clemente et al 1996;Vanden Berk et al 2004;Rengstorf et al 2006;Wilhite et al 2008), which shows the variability on timescales ranging from days to years. Here we used the modified structure function (SF) defined in di Clemente et al (1996) …”
Section: Optical Variabilitymentioning
confidence: 99%
“…Substantial improvement has been achieved with the advance of large surveys. Over approximately the last decade, large and well-defined quasar samples have provided a solid base for the statistical investigation of quasar variability (Vanden Berk et al 2004;de Vries et al 2005;Rengstorf et al 2006;Wold et al 2007;Wilhite et al 2005Wilhite et al , 2008Bauer et al 2009;Ai et al 2010;MacLeod et al 2010;Schmidt et al 2010Schmidt et al , 2012Zuo et al 2012). …”
Section: Introductionmentioning
confidence: 99%
“…Numerous studies have shown that the optical/UV continuum variability of quasars correlates with various physical parameters such as time-lag, rest-frame wavelength, luminosity, radio properties, emission line properties, and the Eddington ratio (e.g., Ulrich et al 1997;Giveon 1999;Helfand 2001;Gaskell & Klimek 2003;Vanden Berk et al 2004;Rengstorf et al 2006;Wold et al 2007;Wilhite et al 2008;Bauer et al 2009;Ai et al 2010;MacLeod et al 2010;Schmidt et al 2010). Despite considerable progress in the description of quasar variability, there are still conflicting claims about these correlations and their physical interpretation is fraught with problems.…”
Section: Introductionmentioning
confidence: 99%