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Nasa Ames Research Center

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#machine learning Preprint Sep 2026

TNFlow: Amortized Posterior Inference for Trans-Neptunian Object Surface Composition

We present TNFlow, a transformer and normalizing flow architecture for inferring the surface composition of Trans-Neptunian Objects (TNOs) from their reflectance spectra. TNFlow is trained on synthetic spectra generated by the Shkuratov radiative transfer model to act as its inverse. TNFlow takes ${\sim}$0.7s to invert...

Agastya Gaur, C. D. Dalle Ore, Alessandra Ricca University of Illinois Urbana-Champaign et al. · 0 citations

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