What Does the Geometry of the HβBLR Depend On?

Author Info

Lizvette Villafaña, University of California, Los Angeles
Peter R. Williams, University of California, Los Angeles
Tommaso Treu, University of California, Los Angeles
Brendon J. Brewer, The University of Auckland
Aaron J. Barth, University of California, Irvine
Vivian U, University of California, Irvine
Vardha N. Bennert, California Polytechnic State University, San Luis ObispoFollow
Hengxiao Guo, University of California, Irvine
Misty C. Bentz, Georgia State University
Gabriela Canalizo, University of California, Riverside
Alexei V. Filippenko, University of California, Berkeley
Elinor Gates, Lick Observatory
Michael D. Joner, Brigham Young University
Matthew A. Malkan, University of California, Los Angeles
Jong-Hak Woo, Seoul National University
Bela Abolfathi, University of California, Irvine
Thomas Bohn, University of California, Riverside
K. Azalee Bostroem, University of Washington
Goni Halevi, University of California, Berkeley
Carol E. Hood, California State University, San Bernardino
J. Chuck Horst, San Diego State University
Maxime de Kouchkovsky, University of California, Berkeley
Benjamin Kuhn, San Diego State University
Douglas C. Leonard, San Diego State University
Raúl Michel, Universidad Nacional Autonoma de Mexico
Melanie Kae B. Olaes, San Diego State University
Daeseong Park, Kyungpook National University
Jordan N. Runco, University of California, Los Angeles
Remington O. Sexton, University of California, Riverside
Isaac Shivvers, University of California, Berkeley
Chance L. Spencer, California Polytechnic State University, San Luis Obispo
Benjamin E. Stahl, University of California, Berkeley
Samantha Stegman, University of California, Berkeley
Jonelle L. Walsh, Texas A & M University - College Station
WeiKang Zheng, University of California, Berkeley

Recommended Citation

Published in The Astrophysical Journal, Volume 948, Issue 2, May 1, 2023.

The definitive version is available at https://doi.org/10.3847/1538-4357/accc84.

Abstract

We 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(f_mean,σ) and black-hole mass, (ii) marginal evidence for a similar correlation between log₁₀( f_rms,σ) and black-hole mass, (iii) marginal evidence for an anticorrelation of BLR disk thickness with log₁₀( f_mean,FWHM) and log₁₀( f_rms,FWHM), and (iv) marginal evidence for an anticorrelation of inclination angle with log₁₀( f_mean,FWHM), log₁₀( f_rms,σ), and log₁₀( f_mean,σ). Last, we find marginal evidence for a correlation between line-profile shape, when using the root-mean-square spectrum, log₁₀(FWHM/σ)_rms, and the virial coefficient, log₁₀( f_rms,σ), and investigate how BLR properties might be related to line-profile shape using CARAMEL models.

Disciplines

Physics

Copyright

© 2023 The Author(s)

Number of Pages

13