Galactic bars and active galactic nucleus fuelling in the second half of cosmic history
A. La Marca, M. T. Nardone, L. Wang, B. Margalef-Bentabol, S. Kruk, and S. C. Trager

TL;DR
This study explores how galactic bars influence the fueling of active galactic nuclei (AGN) in disc galaxies up to redshift 0.8, using deep learning for bar identification and multiple diagnostics for AGN detection.
Contribution
It introduces a deep learning approach to identify barred galaxies and assesses the role of bars in AGN fueling across cosmic time, highlighting their contribution mainly to low-to-moderate luminosity AGN.
Findings
Barred galaxies host a higher fraction of AGN than unbarred ones.
Bars are more associated with AGN with lower relative luminosity ($f_{AGN}<0.75$).
Major mergers dominate triggering the most luminous AGN.
Abstract
We investigate the role of galactic bars in fuelling and triggering Active Galactic Nucleus (AGN) in disc galaxies up to . We utilise a Deep Learning model, fine-tuned on Galaxy Zoo volunteer classifications, to identify (strongly and weakly) barred and unbarred disc galaxies in Hyper Suprime-Cam Subaru Strategic Program -band images. We select AGN using three independent diagnostics: mid-infrared colours, X-ray detections, and spectral energy distribution (SED) fitting. The SED analysis, performed using CIGALE, quantifies the relative AGN contribution to the total galaxy luminosity () and the AGN luminosity (). We assess the impact of bars by comparing AGN incidence and properties in barred galaxies against carefully constructed redshift-, stellar mass-, and colour-matched unbarred control samples. Our binary AGN classification experiment…
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