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Neural network for determining an asteroid mineral composition from reflectance spectra
We aim to develop a fast and robust neural-network-based method for deriving the mineral modal and chemical compositions of silicate materials from their visible and near-infrared spectra.
Plasma flows and sound-speed perturbations in the average supergranule
The course of this systematic flow with depth agrees well with the model of the solar rotation in the sub-surface layers.
Solar and Stellar Astrophysics
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