SE3D trains a Bayesian neural network on libraries of 3D dust radiative transfer toy models to emulate spectral energy distributions and structural parameters for fitting resolved galaxy observations.
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SE3D: Building a radiative transfer emulator to fit panchromatic resolved galaxy observations with 3D models of dust and stars
SE3D trains a Bayesian neural network on libraries of 3D dust radiative transfer toy models to emulate spectral energy distributions and structural parameters for fitting resolved galaxy observations.