Insights into the content and spatial distribution of dust from the integrated spectral properties of galaxies
Jacopo Chevallard, Stephane Charlot, Benjamin Wandelt, Vivienne Wild

TL;DR
This paper introduces a novel combined radiative transfer and spectral evolution model to analyze dust content and distribution in unresolved star-forming galaxies, revealing the significant impact of geometry and orientation on observed spectral properties.
Contribution
The study develops an innovative approach integrating radiative transfer models with galaxy spectral evolution to interpret dust attenuation and distribution in galaxies.
Findings
A universal relation between attenuation curve slope and optical depth is predicted by models.
The central face-on B-band optical depth is measured to be approximately 1.8.
Neglecting geometry and orientation effects can bias galaxy spectral energy distribution interpretations.
Abstract
[Abridged] We present a new approach to investigate the content and spatial distribution of dust in structurally unresolved star-forming galaxies from the observed dependence of integrated spectral properties on galaxy inclination. We develop an innovative combination of generic models of radiative transfer (RT) in dusty media with a prescription for the spectral evolution of galaxies, via the association of different geometric components of galaxies with stars in different age ranges. We show that a wide range of RT models all predict a quasi-universal relation between slope of the attenuation curve at any wavelength and V-band attenuation optical depth in the diffuse interstellar medium (ISM), at all galaxy inclinations. This relation predicts steeper (shallower) dust attenuation curves than both the Calzetti and MW curves at small (large) attenuation optical depths, which implies…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
