Infrared spectral energy distribution decomposition of WISE-selected, hyperluminous hot dust-obscured galaxies
Lulu Fan, Yunkun Han, Robert Nikutta, Guillaume Drouart, and Kirsten, K. Knudsen

TL;DR
This study uses Bayesian modeling to analyze the IR spectral energy distributions of hyperluminous Hot DOGs, revealing their dominant AGN heating, high dust temperatures, and potential evolutionary stage in galaxy development.
Contribution
It introduces a Bayesian SED decomposition method for Hot DOGs, providing new insights into their dust properties and evolutionary status compared to prior models.
Findings
Hot DOGs are hyperluminous with dominant torus emission.
Cold dust contributes ~24% to IR luminosity.
Hot DOGs likely represent a transitional galaxy evolution phase.
Abstract
We utilize a Bayesian approach to fit the observed mid-IR-to-submm/mm spectral energy distributions (SEDs) of 22 WISE-selected and submm-detected, hyperluminous hot dust-obscured galaxies. By adopting the Torus+GB model, we decompose the observed IR SEDs of Hot DOGs into torus and cold dust components. The main results are: 1) Hot DOGs in our submm-detected sample are hyperluminous, with torus emission dominating the IR energy output. However, cold dust emission is non-negligible, averagely contributing ~24% of total IR luminosity. 2) Compared to QSO and starburst SED templates, the median SED of Hot DOGs shows the highest luminosity ratio between mid-IR and submm at rest-frame, while it is very similar to that of QSOs at 10-50um suggesting that the heating sources of Hot DOGs should be buried AGNs. 3) Hot DOGs have both high dust temperatures ~73K and IR luminosity of cold dust. The…
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