0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessWe combine our dynamical modeling black hole mass measurements from the Lick AGN Monitoring Project 2016 sample with measured cross-correlation time lags and line widths to recover individual scale factors, f, used in traditional reverberation mapping analyses. We extend our sample by including prior results from Code for AGN Reverberation and Modeling of Emission Lines (caramel) studies that have utilized our methods. Aiming to improve the precision of black hole mass estimates, as well as uncover any regularities in the behavior of the broad-line region (BLR), we search for correlations between f and other AGN/BLR parameters. We find (i) evidence for a correlation between the virial coefficient log10(fmean,σ) and black hole mass, (ii) marginal evidence for a similar correlation between log10(frms,σ) and black hole mass, (iii) marginal evidence for an anti-correlation of BLR disk thickness with log10(fmean,FWHM)and log10(frms,FWHM), and (iv) marginal evidence for an anti-correlation of inclination angle with log10(fmean,FWHM), log10(frms,σ), and log10(fmean,σ). Lastly, we find marginal evidence for a correlation between line-profile shape, when using the root-meansquare spectrum, log10(FWHM/σ)rms, and the virial coefficient, log10(frms,σ), and investigate how BLR properties might be related to line-profile shape using caramel models.
Lizvette Villafaña, P. R. Williams, Tommaso Treu, Brendon J. Brewer, Aaron J. Barth, U Vivian, Vardha N. Bennert, Hengxiao Guo, Misty C. Bentz, Gabriela Canalizo, Alexei V Filippenko, E. L. Gates, M. D. Joner, Matthew A. Malkan, Jong-Hak Woo, Bela Abolfathi, Thomas Bøhn, K. Azalee Bostroem, Andrew Brandel, Thomas G. Brink, Sanyum Channa, Maren Cosens, Edward Donohue, Goni Halevi, Carol E. Hood, J. Chuck Horst, Maxime de Kouchkovsky, Benjamin Kuhn, Douglas C. Leonard, R. Michel, Melanie Kae B. Olaes, Daeseong Park, Jordan N. Runco, Remington O. Sexton, I. Shivvers, Chance L. Spencer, Benjamin E. Stahl, Samantha Stegman, Jonelle L. Walsh, WeiKang Zheng (2023). What Does the Virial Coefficient of the \Hb Broad-Line Region Depend On?. , DOI: https://doi.org/10.48550/arxiv.2304.06764.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Preprint
Year
2023
Authors
40
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.48550/arxiv.2304.06764
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access
.webp){kind=avatar}
