Modeling dust emission in the Magellanic Clouds with Spitzer and Herschel
Jeremy Chastenet, Caroline Bot, Karl D. Gordon, Marco Bocchio, Julian, Roman-Duval, Anthony P. Jones, Nathalie Ysard

TL;DR
This study compares two dust grain models, Compiegne et al. and THEMIS, fitting them to infrared observations of the Magellanic Clouds to assess their accuracy and systematic differences in inferred dust properties.
Contribution
It provides a consistent fitting analysis of two dust models to Magellanic Clouds data, highlighting model-dependent variations and the relative accuracy of THEMIS.
Findings
THEMIS model better reproduces observations than Compiegne.
Silicate abundance constrained only as an upper limit.
Dust masses in LMC slightly lower than literature; SMC results agree.
Abstract
Dust modeling is crucial to infer dust properties and budget for galaxy studies. However, there are systematic disparities between dust grain models that result in corresponding systematic differences in the inferred dust properties of galaxies. Quantifying these systematics requires a consistent fitting analysis. We compare the output dust parameters and assess the differences between two dust grain models, Compiegne et al (2011), and THEMIS (Jones et al 2013, Kohler et al 2015). In this study, we use a single fitting method applied to all the models to extract a coherent and unique statistical analysis. We fit the models to the dust emission seen by Spitzer and Herschel in the Small and Large Magellanic Clouds (SMC and LMC). The observations cover the infrared (IR) spectrum from a few microns to the sub-millimeter range. For each fitted pixel, we calculate the full n-D likelihood,…
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