Kriging and Gaussian mixture modeling applied to HST data yield 1-pc resolution dust extinction maps in the SMC and LMC, showing log-normal column density distributions and systematic differences from FIR-derived dust masses.
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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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Scylla VI: Parsec-Scale Dust Extinction Maps in the SMC and LMC
Kriging and Gaussian mixture modeling applied to HST data yield 1-pc resolution dust extinction maps in the SMC and LMC, showing log-normal column density distributions and systematic differences from FIR-derived dust masses.
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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.
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Optimizing Deep Learning Photometric Redshifts for the Roman Space Telescope with HST/CANDELS
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