The Activation of Galactic Nuclei and Their Accretion Rates are Linked to the Star Formation Rates and Bulge-types of Their Host Galaxies
Hassen M. Yesuf, S. M. Faber, David C. Koo, Joanna Woo, Joel R., Primack, Yifei Luo

TL;DR
This study classifies galaxy bulges using machine learning and finds that active galactic nuclei are more common in real bulges, with accretion rates linked to star formation and bulge type.
Contribution
It introduces a new method for bulge classification using structural parameters and applies it to analyze AGN activity in different bulge types.
Findings
Majority of AGNs are hosted by real bulges.
Pseudobulge fraction decreases with stronger AGN signatures.
AGNs in real bulges have lower Eddington ratios than in pseudobulges.
Abstract
We use bulge-type classifications of 809 representative SDSS galaxies by Gadotti (2009) to classify a large sample of galaxies into real bulges (classical or elliptical) and pseudobulges using Random Forest. We use structural and stellar population predictors that can easily be measured without image decomposition. Multiple parameters such as the central mass density with 1 kpc, concentration index, S\'{e}rsic index and velocity dispersion do result in accurate bulge classifications when combined together. We classify face-on galaxies above stellar mass of 10 M and redshift into real bulges or pseudobulges with \% accuracy. We show that of AGNs identified by the optical line ratio diagnostic are hosted by real bulges. The pseudobulge fraction significantly decreases with AGN signature as the line ratios change…
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