• Corpus ID: 221949691

Predicting galaxy spectra from images with hybrid convolutional neural networks

@article{Wu2020PredictingGS,
title={Predicting galaxy spectra from images with hybrid convolutional neural networks},
author={John F. Wu and Joshua E. G. Peek},
journal={ArXiv},
year={2020},
volume={abs/2009.12318}
}
• Published 25 September 2020
• Physics
• ArXiv
Galaxies can be described by features of their optical spectra such as oxygen emission lines, or morphological features such as spiral arms. Although spectroscopy provides a rich description of the physical processes that govern galaxy evolution, spectroscopic data are observationally expensive to obtain. We are able to robustly predict and reconstruct galaxy spectra directly from broad-band imaging. We present a powerful new approach using a hybrid convolutional neural network with…
1 Citations

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