Modeling Mid-Infrared Diagnostics of Obscured Quasars and Starbursts
Gregory F. Snyder, Christopher C. Hayward, Anna Sajina, Patrik, Jonsson, Thomas J. Cox, Lars Hernquist, Philip F. Hopkins, Lin Yan

TL;DR
This study uses dust radiative transfer models of galaxy mergers to evaluate mid-infrared diagnostics for distinguishing active galactic nuclei from starbursts, highlighting the potential of combined spectral features to estimate AGN power.
Contribution
It introduces a new diagnostic approach combining multiple mid-infrared features to better estimate AGN contribution in obscured ULIRGs, based on detailed simulations.
Findings
Mid-infrared diagnostics are affected by dust obscuration and viewing angle.
A combination of the 9.7 micron silicate feature, PAH strength, and near-IR slope can constrain AGN fraction.
The proposed diagnostic can estimate AGN power as accurately as hard X-ray flux.
Abstract
We analyze the link between active galactic nuclei (AGN) and mid-infrared flux using dust radiative transfer calculations of starbursts realized in hydrodynamical simulations. Focusing on the effects of galaxy dust, we evaluate diagnostics commonly used to disentangle AGN and star formation in ultraluminous infrared galaxies (ULIRGs). We examine these quantities as a function of time, viewing angle, dust model, AGN spectrum, and AGN strength in merger simulations representing two possible extremes of the ULIRG population: one is a typical gas-rich merger at z ~ 0, and the other is characteristic of extremely obscured starbursts at z ~ 2 to 4. This highly obscured burst begins star-formation-dominated with significant PAH emission, and ends with a ~10^9 yr period of red near-IR colors. At coalescence, when the AGN is most luminous, dust obscures the near-infrared AGN signature, reduces…
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