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A hierarchical bayesian dust SED model and its application to the nearby universe

Published online by Cambridge University Press:  10 June 2020

Frédéric Galliano Open the ORCID record for Frédéric Galliano [Opens in a new window]
Frédéric Galliano*
Affiliation:
AIM, CEA, CNRS, Université Paris-Saclay, Université Paris Diderot, Sorbonne Paris Cité, F-91191 Gif-sur-Yvette, France email: [email protected]
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Abstract

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In this paper, I review several dust evolution studies based on the DustPedia nearby galaxy sample. I first present the dust spectral energy distribution model, implementing a hierarchical Bayesian method, that we have developed. I then discuss the dust evolution trends we have derived among (integrated) and within (resolved) galaxies. In particular, we show that the trend of dust-to-gas ratio with metallicity is clearly non-linear, indicating the need for grain growth in the interstellar medium. Our trend is closer to the one derived with damped Lyα systems than what was suggested by previous studies. We finally demonstrate the universal processing of small amorphous carbon grains by stellar photons.

Keywords

methods: statisticaldustISM: evolutiongalaxies: evolutioninfrared: ISM
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 15 , Symposium S341: Challenges in Panchromatic Modelling with Next Generation Facilities , November 2019 , pp. 138 - 142
Copyright
© International Astronomical Union 2020

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