AGN with massive black holes have closer galactic neighbors: k-Nearest-Neighbor statistics of an unbiased sample of AGN at z~0.03
A. Mhatre, M. C. Powell, S. Yuan, S. W. Allen, T. Caglar, M. Koss, I. del Moral-Castro, K. Oh, A. Peca, C. Ricci, F. Ricci, A. Rojas, M. Signorini

TL;DR
This study uses k-nearest-neighbor statistics to show that active galactic nuclei with more massive black holes tend to have closer galactic neighbors, indicating denser environments influence SMBH growth.
Contribution
It introduces kNN clustering analysis of AGN environments, revealing a significant correlation between black hole mass and local galaxy density beyond previous correlation functions.
Findings
AGN with massive SMBHs have closer neighbors with 99.98% confidence.
Less significant trends are observed with luminosity and Eddington ratio.
Results suggest environment plays a role in SMBH growth, linked to denser cosmic regions.
Abstract
The large-scale environments of active galactic nuclei (AGN) reveal important information on the growth and evolution of supermassive black holes (SMBHs). Previous AGN clustering measurements using 2-point correlation functions have hinted that AGN with massive black holes preferentially reside in denser cosmic regions than AGN with less-massive SMBHs. At the same time, little to no dependence on the accretion rate is found. However, the significance of such trends have been limited. Here we present kth-nearest-neighbor (kNN) statistics of 2MASS galaxies around AGN from the Swift/BAT AGN Spectroscopic survey. These statistics have been shown to contribute additional higher-order clustering information on the cosmic density field. By calculating the distances to the nearest 7 galaxy neighbors in angular separation to each AGN within two redshift ranges(0.01 < z < 0.03 and 0.03 < z <…
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.
