Neural network predicts WISE IR photometry from SDSS optical spectra with χ²_N ≈1 accuracy and identifies biases in SED-fitting methods for AGN and dust properties.
The performance is still significantly better than that of SED fitting codes, but a similarity emerges, especially in the width of the distributions
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The Optical and Infrared Are Connected
Neural network predicts WISE IR photometry from SDSS optical spectra with χ²_N ≈1 accuracy and identifies biases in SED-fitting methods for AGN and dust properties.