The Sloan Digital Sky Survey Reverberation Mapping Project: The H$\beta$ Radius-Luminosity Relation
Gloria Fonseca Alvarez (1), Jonathan R. Trump (1), Yasaman Homayouni, (1), C. J. Grier (2), Yue Shen (3), Keith Horne (4), Jennifer I-Hsiu Li (3),, W. N. Brandt (5), Luis C. Ho (6), B. M. Peterson (7), and D. P. Schneider (5), ((1) UConn, (2) Arizona, (3) Illinois

TL;DR
This study revises the quasar radius-luminosity relation using SDSS-RM data, revealing a broader diversity in BLR sizes and implications for black hole mass estimates, challenging previous assumptions based on biased samples.
Contribution
It demonstrates that the broad-line region sizes vary more widely than previously thought, due to sample biases, and highlights the importance of quasar diversity in radius-luminosity relations.
Findings
Broader quasar sample shows wider BLR size range.
Deviations correlate with UV/optical SED and ionizing radiation.
Single-epoch black hole mass estimates may be overestimated by ~0.3 dex.
Abstract
Results from a few decades of reverberation mapping (RM) studies have revealed a correlation between the radius of the broad-line emitting region (BLR) and the continuum luminosity of active galactic nuclei. This "radius-luminosity" relation enables survey-scale black-hole mass estimates across cosmic time, using relatively inexpensive single-epoch spectroscopy, rather than intensive RM time monitoring. However, recent results from newer reverberation mapping campaigns challenge this widely used paradigm, reporting quasar BLR sizes that differ significantly from the previously established radius-luminosity relation. Using simulations of the radius--luminosity relation with the observational parameters of SDSS-RM, we find that this difference is not likely due to observational biases. Instead, it appears that previous RM samples were biased to a subset of quasar properties, and the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
