A hybrid deep-learning model combining four-band images and nine-band photometry reduces photometric redshift scatter for KiDS-Bright galaxies by about 20% compared to the previous ANNz2 catalog.
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Hybrid-z: Enhancing Kilo-Degree Survey bright galaxy sample photometric redshifts with deep learning
A hybrid deep-learning model combining four-band images and nine-band photometry reduces photometric redshift scatter for KiDS-Bright galaxies by about 20% compared to the previous ANNz2 catalog.