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The AGN fraction in high-redshift protocluster candidates selected by Planck and Herschel

Authors :
Gatica, Caleb
Demarco, Ricardo
Dole, Hervé
Polletta, Maria
Frye, Brenda
Martinache, Clement
Rettura, Alessandro
Publication Year :
2023

Abstract

A complete understanding of the mass assembly history of structures in the universe requires the study of the growth of galaxies and their supermassive black holes (SMBHs) as a function of their local environment over cosmic time. In this context, it is important to quantify the effects that the early stages of galaxy cluster development have on the growth of SMBHs. We used a sample of Herschel/SPIRE sources of $\sim$ 228 red and compact Planck-selected protocluster (PC) candidates to estimate the active galactic nuclei (AGN) fraction from a large sample of galaxies within these candidates. We estimate the AGN fraction by using the mid-infrared (mid-IR) photometry provided by the WISE/AllWISE data of $\sim650$ counterparts at high redshifts. We created an AllWISE mid-IR colour-colour selection using a clustering machine learning algorithm and two {\it WISE} colour cuts using the 3.4 $\mu m$ (W1), 4.6 $\mu m$ (W2) and 12 $\mu m$ (W3) passbands, to classify sources as AGN. We also compare the AGN fraction in PCs with that in the field to better understand the influence of the environment on galaxy development. We found an AGN fraction of $f_{AGN} = 0.113 \pm 0.03$ in PC candidates and an AGN fraction of $f_{AGN} = 0.095 \pm 0.013$ in the field. We also selected a subsample of `red' SPIRE subsample with a higher overdensity significance, obtaining $f_{AGN} = 0.186 \pm 0.044$, versus $f_{AGN} = 0.037 \pm 0.010$ of `non-red sources', consistent with higher AGN fractions for denser environments. We conclude that our results point towards a higher AGN fraction in PCs, similar to other studies.<br />Comment: 11 pages, 9 figures, 3 tables (+2 pages, 1 figure in Appendix). Accepted for publication in MNRAS

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2311.01658
Document Type :
Working Paper
Full Text :
https://doi.org/10.1093/mnras/stad3404