The Sloan Digital Sky Survey Reverberation Mapping Project: Improving Lag Detection with an Extended Multiyear Baseline

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Author
Shen, Yue cc
Grier, C. J.
Horne, Keith
Brandt, W. N. cc
Trump, J. R.
Hall, P. B.
Kinemuchi, K.
Starkey, David
Schneider, D. P.
Ho, Luis C. cc
Affiliation
Univ Arizona, Steward Observ
Issue Date
2019-09-20

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Publisher
IOP PUBLISHING LTD
Citation
Shen, Y., Grier, C. J., Horne, K., Brandt, W. N., Trump, J. R., Hall, P. B., ... & Homayouni, Y. (2019). The Sloan Digital Sky Survey Reverberation Mapping Project: Improving Lag Detection with an Extended Multiyear Baseline. The Astrophysical Journal Letters, 883(1), L14.
Journal
ASTROPHYSICAL JOURNAL LETTERS
Rights
© 2019. The American Astronomical Society. All rights reserved.
Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
Abstract
We investigate the effects of extended multiyear light curves (9 yr photometry and 5 yr spectroscopy) on the detection of time lags between the continuum variability and broad-line response of quasars at z greater than or similar to 1.5, and compare with the results using 4 yr photometry+spectroscopy presented in a companion paper. We demonstrate the benefits of the extended light curves in three cases: (1) lags that are too long to be detected by the shorter-duration data but can be detected with the extended data; (2) lags that are recovered by the extended light curves but are missed in the shorter-duration data due to insufficient light-curve quality; and (3) lags for different broad-line species in the same object. These examples demonstrate the importance of long-term monitoring for reverberation mapping to detect lags for luminous quasars at high redshift, and the expected performance of the final data set from the Sloan Digital Sky Survey Reverberation Mapping project that will have 11 yr photometric and 7 yr spectroscopic baselines.
ISSN
2041-8205
EISSN
2041-8213
DOI
10.3847/2041-8213/ab3e0f
Version
Final published version
Sponsors
Alfred P. Sloan Research Fellowship Alfred P. Sloan Foundation; NSF National Science Foundation (NSF) [AST-1517113, AST-1516784, AST-1715579]; STFC Science & Technology Facilities Council (STFC) [ST/R000824/1]; NSERC Natural Sciences and Engineering Research Council of Canada [2017-05983]; National Science Foundation of China National Natural Science Foundation of China [11721303]; National Key R&D Program of China [2016YFA0400702]; Alfred P. Sloan Foundation Alfred P. Sloan Foundation; U.S. Department of Energy Office of Science United States Department of Energy (DOE); Center for High-Performance Computing at the University of Utah; Brazilian Participation Group; Carnegie Institution for Science; Carnegie Mellon University; Chilean Participation Group; French Participation Group; Harvard-Smithsonian Center for Astrophysics Smithsonian Institution Harvard-Smithsonian Center for Astrophysics; Instituto de Astrofisica de Canarias; Johns Hopkins University Johns Hopkins University; Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo; Korean Participation Group; Lawrence Berkeley National LaboratoryUnited States Department of Energy (DOE); Leibniz Institut fur Astrophysik Potsdam (AIP); Max-Planck-Institut fur Astronomie (MPIA Heidelberg); Max-Planck-Institut fur Astrophysik (MPA Garching); Max-Planck-Institut fur Extraterrestrische Physik (MPE); National Astronomical Observatories of China; New Mexico State University; New York University; University of Notre Dame; Observatario Nacional/MCTI; Ohio State University Ohio State University; Pennsylvania State University; Shanghai Astronomical Observatory; United Kingdom Participation Group; Universidad Nacional Autonoma de Mexico; University of Arizona; University of Colorado Boulder; University of Oxford; University of Portsmouth; University of Utah; University of Virginia; University of Washington University of Washington; University of Wisconsin; Vanderbilt University; Yale University; National Aeronautics & Space Administration (NASA) [NNX08AR22G]; National Science Foundation (NSF) [AST-1238877]
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