Solving the puzzle of discrepant quasar variability on monthly time-scales implied by SDSS and CRTS data sets
Krzysztof Suberlak (1), \v{Z}eljko Ivezi\'c (1), Chelsea L. MacLeod, (2), Matthew Graham (3, 4), Branimir Sesar (5) ((1) Department of, Astronomy, University of Washington, Seattle, WA 98195, USA, (2), Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA, (3)

TL;DR
This study resolves discrepancies in quasar variability measurements between SDSS and CRTS data sets by identifying and correcting underestimated photometric errors in CRTS, confirming the consistency with the damped random walk model.
Contribution
The paper demonstrates that correcting CRTS photometric uncertainties aligns its quasar variability results with SDSS, clarifying previous conflicting findings on monthly time-scales.
Findings
CRTS underestimated photometric errors by 20-30%.
Corrected CRTS data agrees with SDSS and PTF results.
Quasar variability is consistent with the damped random walk model.
Abstract
We present an improved photometric error analysis for the 7,100 CRTS (Catalina Real-Time Transient Survey) optical light curves for quasars from the SDSS (Sloan Digital Sky Survey) Stripe 82 catalogue. The SDSS imaging survey has provided a time-resolved photometric data set which greatly improved our understanding of the quasar optical continuum variability: Data for monthly and longer time-scales are consistent with a damped random walk (DRW). Recently, newer data obtained by CRTS provided puzzling evidence for enhanced variability, compared to SDSS results, on monthly time-scales. Quantitatively, SDSS results predict about 0.06 mag root-mean-square (rms) variability for monthly time-scales, while CRTS data show about a factor of 2 larger rms, for spectroscopically confirmed SDSS quasars. Our analysis has successfully resolved this discrepancy as due to slightly underestimated…
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Taxonomy
TopicsStatistical and numerical algorithms · Calibration and Measurement Techniques
