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Found 2 papers, 1 papers with code
Disentangled Representation Learning for Astronomical Chemical Tagging
To remove known non-chemical factors of variation, we develop and implement a neural network architecture that learns a disentangled spectral representation.
Constraining chemical networks inAstrochemistry
Databases of gas and surface chemical reactions are a key tool for scientists working in a wide range of physical sciences.
Astrophysics of Galaxies
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