Radiative transfer meets Bayesian statistics: where does a galaxy's [CII] emission come from?
Gioacchino Accurso, Am\'elie Saintonge, Thomas. G. Bisbas, Serena Viti

TL;DR
This paper develops a multi-phase radiative transfer model coupled with Bayesian inference to determine the origins of [CII] emission in galaxies, revealing how physical parameters influence the molecular contribution.
Contribution
It introduces a novel 3D radiative transfer framework combined with Bayesian analysis to quantify [CII] emission sources across galaxy phases, advancing understanding of ISM diagnostics.
Findings
$f_{[CII],mol}$ varies with sSFR, metallicity, and electron density.
Model predicts Milky Way $f_{[CII],mol}$ consistent with observations.
60-80% of [CII] emission in local galaxies originates from molecular regions.
Abstract
The [CII] 158m emission line can arise in all phases of the ISM, therefore being able to disentangle the different contributions is an important yet unresolved problem when undertaking galaxy-wide, integrated [CII] observations. We present a new multi-phase 3D radiative transfer interface that couples Starburst99, a stellar spectrophotometric code, with the photoionisation and astrochemistry codes Mocassin and 3D-PDR. We model entire star forming regions, including the ionised, atomic and molecular phases of the ISM, and apply a Bayesian inference methodology to parametrise how the fraction of the [CII] emission originating from molecular regions, , varies as a function of typical integrated properties of galaxies in the local Universe. The main parameters responsible for the variations of are specific star formation rate (sSFR), gas phase…
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