On the Gas Content and Efficiency of AGN Feedback in Low-redshift Quasars
Jinyi Shangguan, Luis C. Ho, Yanxia Xie

TL;DR
This study uses infrared spectral energy distributions and a Bayesian fitting method to estimate gas content in low-redshift quasar host galaxies, revealing most have normal gas fractions and quasar feedback is ineffective.
Contribution
It introduces a novel Bayesian MCMC approach to decompose infrared spectra and estimate gas masses in quasar hosts, providing new insights into AGN feedback effects.
Findings
Most quasar hosts have gas fractions similar to star-forming galaxies.
A minority of hosts are gas-deficient, akin to early-type galaxies.
Quasar feedback appears ineffective in low-redshift host galaxies.
Abstract
The interstellar medium is crucial to understanding the physics of active galaxies and the coevolution between supermassive black holes and their host galaxies. However, direct gas measurements are limited by sensitivity and other uncertainties. Dust provides an efficient indirect probe of the total gas. We apply this technique to a large sample of quasars, whose total gas content would be prohibitively expensive to measure. We present a comprehensive study of the full (1 to 500 micron) infrared spectral energy distributions of 87 redshift <0.5 quasars selected from the Palomar-Green sample, using photometric measurements from 2MASS, WISE, and Herschel, combined with Spitzer mid-infrared (5 to 40 micron) spectra. With a newly developed Bayesian Markov Chain Monte Carlo fitting method, we decompose various overlapping contributions to the integrated spectral energy distribution,…
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