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arXiv · 2206.13189

Ionized Outflows in Nearby Quasars are Poorly Coupled to their Host Galaxies

Juan Molina·Luis C. Ho·Ran Wang·Jinyi Shangguan·Franz E. Bauer·Ezequiel Treister·Ming-Yang Zhuang·Claudio Ricci·Fuyan Bian
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Abstract

We analyze Multi Unit Spectroscopic Explorer observations of nine low-redshift (z < 0.1) Palomar-Green quasar host galaxies to investigate the spatial distribution and kinematics of the warm, ionized interstellar medium, with the goal of searching for and constraining the efficiency of active galactic nucleus (AGN) feedback. After separating the bright AGN from the starlight and nebular emission, we use pixel-wise, kpc-scale diagnostics to determine the underlying excitation mechanism of the line emission, and we measure the kinematics of the narrow-line region (NLR) to estimate the physical properties of the ionized outflows. The radial size of the NLR correlates with the AGN luminosity, reaching scales of $\sim 5\,$kpc and beyond. The geometry of the NLR is well-represented by a projected biconical structure, suggesting that the AGN radiation preferably escapes through the ionization cone. We find enhanced velocity dispersions ($\sim 100\,$km$\,$s$^{-1}$) traced by the H$α$ emission line in localized zones within the ionization cones. Interpreting these kinematic features as signatures of interaction between an AGN-driven ionized gas outflow and the host galaxy interstellar medium, we derive mass outflow rates of $\sim 0.008-1.6\, M_\odot \,$yr$^{-1}$ and kinetic injection rates of $\sim 10^{39}-10^{42} \,$erg$\,$s$^{-1}$, which yield extremely low coupling efficiencies of $\lesssim 10^{-3}$. These findings add to the growing body of recent observational evidence that AGN feedback is highly ineffective in the host galaxies of nearby AGNs.

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Juan Molina, Luis C. Ho, Ran Wang, Jinyi Shangguan, Franz E. Bauer, Ezequiel Treister, Ming-Yang Zhuang, Claudio Ricci, Fuyan Bian. 2022-06-27. Ionized Outflows in Nearby Quasars are Poorly Coupled to their Host Galaxies. https://doi.org/10.3847/1538-4357%2Fac7d4d

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