How Well Can We Measure Galaxy Dust Attenuation Curves? The Impact of the Assumed Star-Dust Geometry Model in SED Fitting
Sidney Lower, Desika Narayanan, Joel Leja, Benjamin D. Johnson,, Charlie Conroy, and Romeel Dave

TL;DR
This study evaluates how well galaxy dust attenuation curves can be measured using SED fitting and introduces a new non-uniform screen model that enhances the accuracy of these measurements by accounting for complex star-dust geometries.
Contribution
The paper proposes a novel non-uniform screen model for SED fitting that improves dust attenuation curve inference and star formation rate estimates compared to traditional uniform models.
Findings
Non-uniform screen model reduces UV attenuation offset from -0.30 to -0.17 dex.
Improves SFR estimates, decreasing offset by 0.12 dex.
Enhances the accuracy of dust attenuation curve measurements.
Abstract
One of the most common methods for inferring galaxy attenuation curves is via spectral energy distribution (SED) modeling, where the dust attenuation properties are modeled simultaneously with other galaxy physical properties. In this paper, we assess the ability of SED modeling to infer these dust attenuation curves from broadband photometry, and suggest a new flexible model that greatly improves the accuracy of attenuation curve derivations. To do this, we fit mock SEDs generated from the Simba cosmological simulation with the Prospector SED fitting code. We consider the impact of the commonly-assumed uniform screen model and introduce a new non-uniform screen model parameterized by the fraction of unobscured stellar light. This non-uniform screen model allows for a non-zero fraction of stellar light to remain unattenuated, resulting in a more flexible attenuation curve shape by…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
