A multimodal neural network integrating morphology and spectral energy distribution data improves classification accuracy for stars, quasars, and galaxies.
Researchers develop neural network for large-scale celestial object classification
A multimodal neural network integrating morphology and spectral energy distribution data improves classification accuracy for stars, quasars, and galaxies.