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Published September 2020 | Accepted Version + Published
Journal Article Open

The Sloan Digital Sky Survey Reverberation Mapping Project: Photometric g and i Light Curves

Abstract

The Sloan Digital Sky Survey (SDSS) Reverberation Mapping program monitors 849 active galactic nuclei (AGNs) both spectroscopically and photometrically. The photometric observations used in this work span over 4 yr and provide an excellent baseline for variability studies of these objects. We present the photometric light curves from 2014 to 2017 obtained by the Steward Observatory's Bok telescope and the Canada–France–Hawaii telescope with MegaCam. We provide details on the data acquisition and processing of the data from each telescope, the difference imaging photometry used to produce the light curves, and the calculation of a variability index to quantify each AGN's variability. We find that the Welch–Stetson J index provides a useful characterization of AGN variability and can be used to select AGNs for further study.

Additional Information

© 2020. The American Astronomical Society. Received 2020 May 22; revised 2020 July 1; accepted 2020 July 6; published 2020 September 3. Based in part on observations obtained with MegaPrime/MegaCam, a joint project of CFHT and CEA/DAPNIA, at the CFHT, which is operated by the National Research Council (NRC) of Canada, the Institut National des Sciences de l'Univers of the Centre National de la Recherche Scientifique of France, and the University of Hawaii. The authors wish to recognize and acknowledge the very significant cultural role and reverence that the summit of Maunakea has always had within the indigenous Hawaiian community. We are most fortunate to have the opportunity to conduct observations from this mountain. We thank the CFHT staff who supported our program, including Nadine Manset, Todd Burdullis, Simon Prunet, and Andreea Petric. We thank the anonymous referee for the helpful comments to this paper. P.H. acknowledges the support of the Natural Sciences and Engineering Research Council of Canada (NSERC), funding reference number 2017-05983. C.J.G., W.N.B., and D.P.S. acknowledge support from NSF grant AST-1517113. Y.S. acknowledges support from an Alfred P. Sloan Research Fellowship and NSF grant AST-1715579. L.C.H. acknowledges the National Key R&D Program of China (2016YFA0400702) and the National Science Foundation of China (11721303, 11991052). J.V.H.S. and K.H. acknowledge support from a STFC grant ST/R000824/1. C.S.K. is supported by NSF grants AST-1814440 and AST-1908570.

Attached Files

Published - Kinemuchi_2020_ApJS_250_10.pdf

Accepted Version - 2007.05160.pdf

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Additional details

Created:
August 19, 2023
Modified:
October 20, 2023