Four parameters suffice to describe dust attenuation curve diversity in TNG simulations, yielding a new symbolic-regression model that recovers curves and fluxes better than existing parameterizations while linking parameters to SFR surface density, metallicity, and geometry.
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2 Pith papers cite this work, alongside 72 external citations. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
UV/optical attenuation underpredicts IR luminosity by 3-10x across 0<z<7 while κ_UV/κ_FIR falls by over an order of magnitude, pointing to evolving dust grain properties in average galaxies.
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Learning the Universe: The Structure of Dust Attenuation Curves in Galaxy Simulations
Four parameters suffice to describe dust attenuation curve diversity in TNG simulations, yielding a new symbolic-regression model that recovers curves and fluxes better than existing parameterizations while linking parameters to SFR surface density, metallicity, and geometry.
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Dust in the Average Galaxy: Attenuation, Emission, and Opacity from 0<z<7
UV/optical attenuation underpredicts IR luminosity by 3-10x across 0<z<7 while κ_UV/κ_FIR falls by over an order of magnitude, pointing to evolving dust grain properties in average galaxies.