Photometric Redshift Estimation with Galaxy Morphology Using Self-organizing Maps

@article{Wilson2019PhotometricRE,
  title={Photometric Redshift Estimation with Galaxy Morphology Using Self-organizing Maps},
  author={Derek Wilson and Hooshang Nayyeri and A. Cooray and Boris Haussler},
  journal={The Astrophysical Journal},
  year={2019},
  volume={888}
}
We use multiband optical and near-infrared photometric observations of galaxies in the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey to predict photometric redshifts using artificial neural networks. The multiband observations span from 0.39 to 8.0 μm for a sample of ∼1000 galaxies in the GOODS-S field for which robust size measurements are available from Hubble Space Telescope Wide Field Camera 3 observations. We use self-organizing maps (SOMs) to map the multidimensional… 

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