A Local Baseline of the Black Hole Mass Scaling Relations for Active Galaxies. I. Methodology and Results of Pilot Study
Vardha Nicola Bennert (1), Matthew W. Auger (1), Tommaso Treu (1),, Jong-Hak Woo (2), Matthew A. Malkan (3) ((1) UCSB, (2) Seoul National, University, (3) UCLA)

TL;DR
This study uses high-quality spectroscopy and imaging of 25 local active galaxies to analyze black hole mass scaling relations, revealing biases in velocity dispersion measurements and confirming consistency with established relations.
Contribution
It introduces a methodology combining spectroscopy and imaging to accurately determine black hole and host galaxy properties, addressing biases in velocity dispersion measurements.
Findings
Aperture spectra can bias stellar-velocity dispersion estimates.
CaT region provides the most reliable velocity dispersions.
Black hole scaling relations align with those of other local galaxies.
Abstract
We present high-quality Keck/LRIS longslit spectroscopy of a pilot sample of 25 local active galaxies selected from the SDSS (0.02<z<0.1; MBH>10^7 M_sun) to study the relations between black hole mass (MBH) and host-galaxy properties. We determine stellar kinematics of the host galaxy, deriving stellar-velocity dispersion profiles and rotation curves from three spectral regions (including CaH&K, MgIb triplet, and CaII triplet). In addition, we perform surface photometry on SDSS images, using a newly developed code for joint multi-band analysis. BH masses are estimated from the width of the Hbeta emission line and the host-galaxy free 5100A AGN luminosity. Combining results from spectroscopy and imaging allows us to study four MBH scaling relations: MBH-sigma, MBH-L(sph), MBH-M(sph,*), MBH-M(sph,dyn). We find the following results. First, stellar-velocity dispersions determined from…
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.
