The Kinematics of z ≳ 6 Quasar Host Galaxies
Abstract
We explore the kinematics of 27 z ≳ 6 quasar host galaxies observed in [C II] 158 μm ([C II]) emission with the Atacama Large Millimeter/submillimeter Array at a resolution of ≈0"25. We find that nine of the galaxies show disturbed [C II] emission, due to either a close companion galaxy or a recent merger. Ten galaxies have smooth velocity gradients consistent with the emission arising from a gaseous disk. The remaining eight quasar host galaxies show no velocity gradient, suggesting that the gas in these systems is dispersion dominated. All galaxies show high velocity dispersions with a mean of 129 ± 10 km s-1. To provide an estimate of the dynamical mass within twice the half-light radius of the quasar host galaxy, we model the kinematics of the [C II] emission line using our publicly available kinematic fitting code, qubefit. This results in a mean dynamical mass of 5.0 ± 0.8( ± 3.5) × 1010 M⊙. Comparison between the dynamical mass and the mass of the supermassive black hole reveals that the sample falls above the locally derived bulge mass-black hole mass relation at 2.4σ significance. This result is robust even if we account for the large systematic uncertainties. Using several different estimators for the molecular mass, we estimate a gas mass fraction of >10%, indicating that gas makes up a large fraction of the baryonic mass of z ≳ 6 quasar host galaxies. Finally, we speculate that the large variety in [C II] kinematics is an indication that gas accretion onto z ≳ 6 supermassive black holes is not caused by a single precipitating factor.
- Publication:
-
The Astrophysical Journal
- Pub Date:
- April 2021
- DOI:
- arXiv:
- arXiv:2102.05679
- Bibcode:
- 2021ApJ...911..141N
- Keywords:
-
- Quasars;
- Galaxy kinematics;
- Supermassive black holes;
- Galaxy dynamics;
- Galaxy evolution;
- Interstellar atomic gas;
- 1319;
- 602;
- 1663;
- 591;
- 594;
- 833;
- Astrophysics - Astrophysics of Galaxies
- E-Print:
- 33 pages. Kinematic fitting code is available at https://github.com/mneeleman/qubefit