TRINITY VI: connection between galaxy star formation rates and supermassive black hole accretion rates from z = 0 − 10
Creators
Abstract
We infer supermassive black hole (SMBH) accretion rates and Eddington ratios as a function of SMBH/host galaxy mass and redshift with the empirical Trinity model of dark matter halo–galaxy–SMBH connection. The galaxy–SMBH mass and growth rate connection from Trinity match galaxy observables from 0 < z < 13 and SMBH observables from 0 < z < 6.5. Key findings include: (1) the ratio between cosmic SMBH accretion rate and galaxy star formation rate stays constant at ~ 2 x 10⁻³ from z = 0 - 4, and decreases by 2 orders of magnitude from z = 4 -10; (2) the average SMBH Eddington ratio η increases towards higher redshifts, nearly reaching η = 1 at z ~ 10; (3) at fixed redshift for z < 3, SMBHs/galaxies with higher masses have lower η, consistent with active galactic nucleus (AGN) downsizing; (4) the average ratio of specific SMBH accretion rate (SBHAR) to average specific star formation rate (SSFR) is nearly mass-independent, with a value SBHAR/SSFR ~ 1, which decreases slightly from z = 10 to z = 0; (5) similar to galaxies, SMBHs reach their peak efficiency to convert baryons into mass when host haloes reach 10¹² M⊙; (6) given galaxy and SMBH growth histories from Trinity, the local descendants of 1 < z < 11 overmassive JWST AGNs will remain outliers from the local SMBH mass–galaxy mass relation. These findings combine to give a simple explanation for massive (10⁹ - 10¹⁰) quasars at z > 6: at these redshifts, dark matter haloes grow with an e-folding time of ~ 45 Myr, driving similar growth in both galaxies and SMBHs.
Copyright and License
Acknowledgement
We thank the referee, Darren Croton, for the constructive comments. We also thank Alison Coil, Sandy Faber, Jenny Greene, Melanie Habouzit, David Koo, Andrey Kravtsov, Junyao Li, Joel Primack, George Rieke, Marcia Rieke, Xuejian Shen, Yue Shen, Rachel Somerville, Fengwu Sun, Wei-Leong Tee, and Minghao Yue for very valuable discussions.
Support for this research came partially via National Aeronautics and Space Administration (NASA) Astrophysics Theory Program (ATP) grant, 23-ATP23-0095. PB was partially funded by a Packard Fellowship, Grant #2019-69646.
Data compilations from many studies used in this paper were made much more accurate and efficient by the online webplotdigitizer code.3 This research has made extensive use of the arXiv and NASA’s Astrophysics Data System.
This research used the Ocelote supercomputer of the University of Arizona. The allocation of computer time from the UA Research Computing High Performance Computing (HPC) at the University of Arizona is gratefully acknowledged. The Bolshoi–Planck simulation was performed by Anatoly Klypin within the Bolshoi project of the University of California High-Performance AstroComputing Center (UC-HiPACC; PI Joel Primack).
Data Availability
The parallel implementation of Trinity, the compiled data sets (Section 3.2), and the data for reproducing all the plots in this paper are available at https://github.com/HaowenZhang/TRINITY.
Files
staf260.pdf
Files
(3.8 MB)
Name | Size | Download all |
---|---|---|
md5:b016b9e6272e24c1e69bbe6bcbb780b1
|
3.8 MB | Preview Download |
Additional details
Related works
- Is new version of
- Discussion Paper: arXiv:2409.16347 (arXiv)
- Is supplemented by
- Dataset: https://github.com/HaowenZhang/TRINITY (URL)
Funding
- National Aeronautics and Space Administration
- 23-ATP23-0095
- David and Lucile Packard Foundation
- 2019-69646
- University of Arizona
- University of California System
Dates
- Accepted
-
2025-02-07
- Available
-
2025-02-12Published
- Available
-
2025-03-05Corrected and typeset