Back to Search Start Over

The Sloan Digital Sky Survey Reverberation Mapping Project: Sample Characterization

Authors :
Shen, Yue
Hall, Patrick B.
Horne, Keith
Zhu, Guangtun
McGreer, Ian
Simm, Torben
Trump, Jonathan R.
Kinemuchi, Karen
Brandt, W. N.
Green, Paul J.
Grier, C. J.
Guo, Hengxiao
Ho, Luis C.
Homayouni, Yasaman
Jiang, Linhua
Li, Jennifer I-Hsiu
Morganson, Eric
Petitjean, Patrick
Richards, Gordon T.
Schneider, Donald P.
Starkey, D. A.
Wang, Shu
Chambers, Ken
Kaiser, Nick
Kudritzki, Rolf-Peter
Magnier, Eugene
Waters, Christopher
Publication Year :
2018

Abstract

We present a detailed characterization of the 849 broad-line quasars from the Sloan Digital Sky Survey Reverberation Mapping (SDSS-RM) project. Our quasar sample covers a redshift range of 0.1<z<4.5 and is flux-limited to i_PSF<21.7 without any other cuts on quasar properties. The main sample characterization includes: 1) spectral measurements of the continuum and broad emission lines for individual objects from the coadded first-season spectroscopy in 2014; 2) identification of broad and narrow absorption lines in the spectra; 3) optical variability properties for continuum and broad lines from multi-epoch spectroscopy. We provide improved systemic redshift estimates for all quasars, and demonstrate the effects of signal-to-noise ratio on the spectral measurements. We compile measured properties for all 849 quasars along with supplemental multi-wavelength data for subsets of our sample from other surveys. The SDSS-RM sample probes a diverse range in quasar properties, and shows well detected continuum and broad-line variability for many objects from first-season monitoring data. The compiled properties serve as the benchmark for follow-up work based on SDSS-RM data. The spectral fitting tools are made public along with this work.<br />Comment: Updated to match the accepted version (minor corrections). Catalog data and software tools are available at ftp://quasar.astro.illinois.edu/public/sdssrm/paper_data/Sample_char/

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1810.01447
Document Type :
Working Paper
Full Text :
https://doi.org/10.3847/1538-4365/ab074f