Dust and Power: Unravelling the merger - active galactic nucleus connection in the second half of cosmic history
A. La Marca, B. Margalef-Bentabol, L. Wang, F. Gao, A. D. Goulding, G., Martin, V. Rodriguez-Gomez, S. C. Trager, G. Yang, R. Dav\'e, and Y. Dubois

TL;DR
This study investigates the connection between galaxy mergers and active galactic nuclei (AGNs) using advanced observational data and machine learning, revealing that mergers are especially linked to dust-obscured and powerful AGNs, particularly at higher activity levels.
Contribution
The paper introduces a novel approach combining multi-wavelength data and neural networks trained on simulations to analyze the merger-AGN relationship across different AGN types and activity levels.
Findings
MIR AGNs show a 2-3 times higher merger rate than non-mergers.
Mergers are most strongly associated with dust-obscured, powerful AGNs.
A steep increase in merger fraction is observed with higher AGN activity, especially for the most luminous AGNs.
Abstract
Galaxy mergers represent a fundamental physical process under hierarchical structure formation, but their role in triggering AGNs is still unclear. We aim to investigate the merger-AGN connection using state-of-the-art observations and novel methods in detecting mergers and AGNs. We selected stellar mass-limited samples at redshift z<1 from KiDS, focusing on the KiDS-N-W2 field with a wide range of multi-wavelength data. Three AGN types, selected in the MIR, X-ray, and via SED modelling, were analysed. To identify mergers, we used convolutional neural networks trained on two cosmological simulations. We created mass and redshift-matched control samples of non-mergers and non-AGNs. We observe a clear AGN excess (a factor of 2-3) in mergers with respect to non-mergers for the MIR AGNs, and a mild excess for the X-ray and SED AGNs, indicating that mergers could trigger all 3 types but are…
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Taxonomy
TopicsHistory and Developments in Astronomy · Gamma-ray bursts and supernovae
