Morpho-z: improving photometric redshifts with galaxy morphology
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DOI: 10.1093/mnras/stx3201
Abstract: We conduct a comprehensive study of the effects of incorporating galaxy morphology information in photometric redshift estimation. Using machine learning methods, we assess the changes in the scatter and outlier fraction of photometric redshifts when… read more here.
Keywords: photometric redshifts; morpho improving; morphology; galaxy morphology ... See more keywords