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

Gaur, Agastya et al.
arXiv (All) · Papers
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earth-and-planetary-astrophysicsmachine-learning
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 ${
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