A Cross-correlation Analysis of AGN and Galaxies using Virtual Observatory: Dependence on Virial Mass of Super-Massive Black Hole
Yutaka Komiya, Yuji Shirasaki, Masatoshi Ohishi, Yoshihiko Mizumoto

TL;DR
This study analyzes the spatial correlation between AGNs and galaxies at redshift 0.1-1, revealing a dependence of clustering strength on SMBH mass, which suggests different growth mechanisms for black holes above and below 10^8 solar masses.
Contribution
It provides the first cross-correlation analysis of AGNs and galaxies using virtual observatory data, highlighting SMBH mass dependence on clustering.
Findings
Clustering scale length r_0 = 5.8 h^-1 Mpc for the sample.
Indication of increased clustering for SMBHs with M_BH > 10^8 Msun.
No significant SMBH mass dependence for M_BH < 10^8 Msun.
Abstract
We present results of the cross-correlation analysis between active galactic nuclei (AGNs) and galaxies at redshift 0.1-1. We obtain data of ~10,000 SDSS AGNs in which their virial masses with a super-massive black hole (SMBH) were estimated. The UKIDSS galaxy samples around the AGNs were obtained using the virtual observatory. The scale length of AGN-galaxy cross-correlation for all of the samples is measured to be r_0= 5.8+0.8-0.6 h^-1Mpc (for the fixed slope parameter \gamma=1.8). We also derived a dependence of r_0 on the BH mass, M_BH, and found an indication of an increasing trend of r_0 at M_BH > 10^8 Msun. It is suggested that the growth of SMBH is mainly driven by interactions with the surrounding environment for M_BH > 10^8 Msun. On the other hand, at M_BH <~10^8 Msun, we did not find the BH mass dependence. This would imply that, for less massive BHs, the mass growth process…
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.
