paper

Euclid Quick Data Release (Q1). First Euclid statistical study of galaxy mergers and their connection to active galactic nuclei

arXiv:2503.15317 · doi:10.1051/0004-6361/202554579

Abstract

Galaxy major mergers are a key pathway to trigger AGN. We present the first detection of major mergers in the Euclid Deep Fields and analyse their connection with AGN. We constructed a stellar-mass-complete () sample of galaxies from the first quick data release (Q1), in the redshift range z=0.5-2. We selected AGN using X-ray data, optical spectroscopy, mid-infrared colours, and processing \IE observations with an image decomposition algorithm. We used CNNs trained on cosmological simulations to classify galaxies as mergers and non-mergers. We found a larger fraction of AGN in mergers compared to the non-merger controls for all AGN selections, with AGN excess factors ranging from 2 to 6. Likewise, a generally larger merger fraction () is seen in active galaxies than in the non-active controls. We analysed as a function of the AGN bolometric luminosity () and the contribution of the point-source to the total galaxy light in the \IE-band () as a proxy for the relative AGN contribution fraction. We uncovered a rising , with increasing up to , after which we observed a decreasing trend. We then derived the point-source luminosity () and showed that monotonically increases as a function of at z<0.9, with 50% for erg/s. At z>0.9, rises as a function of , though mergers do not dominate until erg/s. For X-ray and spectroscopic AGN, we computed , which has a positive correlation with for X-ray AGN, while shows a less pronounced trend for spectroscopic AGN due to the smaller sample size. At erg/s, AGN mostly reside in mergers. We concluded that mergers are strongly linked to the most powerful, dust-obscured AGN, associated with rapid supermassive black hole growth.

Accepted for publication as part of the A&A Special Issue `Euclid Quick Data Release (Q1)', 25 pages, 23 figures. Merger classification catalogue available at https://doi.org/10.5281/zenodo.17087033