Co-evolution of supermassive black holes with galaxies from semi-analytic model: stochastic gravitational wave background and black hole clustering
Qing Yang, Bin Hu, Xiao-Dong Li

TL;DR
This paper models the co-evolution of supermassive black holes and galaxies using semi-analytic simulations, predicting gravitational wave backgrounds and clustering patterns, revealing sensitivity to merger rates and evolution over cosmic time.
Contribution
It introduces a detailed analysis of SMBH-galaxy co-evolution through semi-analytic models, linking merger rates to gravitational wave signals and clustering evolution.
Findings
GW background amplitude varies significantly with galaxy merger rate.
Clustering strength increases at lower redshifts.
Angular power spectrum of GW energy density shows substantial multipole contributions.
Abstract
We study the co-evolution of supermassive black holes (SMBHs) with galaxies by means of semi-analytic model (SAM) of galaxy formation based on sub-halo merger trees built from Millennium and Millennium-II simulation. We utilize the simulation results from Guo 2013 and Henriques 2015 to study two aspects of the co-evolution, \emph{i.e.} the stochastic gravitational wave (GW) background generated by SMBH merger and the SMBH/galaxy clustering. The characteristic strain amplitude of GW background predicted by Guo 2013 and Henriques 2015 models are and , respectively. We find the GW amplitude is very sensitive to the galaxy merger rate. The difference in the galaxy merger rate between Guo 2013 and Henriques 2015, results in a factor deviation in the GW strain amplitude. For clusterings, we calculate the spatially isotropic…
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