Black Hole Mass Estimation: How good is the virial estimate?
Suk Yee Yong, Rachel L. Webster, Anthea L. King

TL;DR
This study uses a disk wind model and Monte Carlo simulations to examine how the inclination angle of active galactic nuclei affects the virial black hole mass estimates, revealing potential biases in common estimation methods.
Contribution
It introduces a dynamical disk wind BLR model and demonstrates how inclination impacts the virial scale factor, highlighting biases in assuming a constant factor for mass estimates.
Findings
The virial scale factor $f$ correlates strongly with inclination angle.
Using a constant $f$ can bias black hole mass estimates.
Calibration based on line width can correct mass estimation biases.
Abstract
Black hole mass is a key factor in determining how a black hole interacts with its environment. However, the determination of black hole masses at high redshifts depends on secondary mass estimators, which are based on empirical relationships and broad approximations. A dynamical disk wind broad line region (BLR) model of active galactic nuclei (AGN) is built in order to test the impact on the black hole mass calculation due to different BLR geometries and the inclination of the AGN. Monte Carlo simulations of two disk wind models are constructed to recover the virial scale factor, , at various inclination angles. The resulting values strongly correlate with inclination angle, with large values associated with small inclination angles (close to face-on) and small values with large inclination angles (close to edge-on). The factors are consistent with previously…
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