ANN z : estimating photometric redshifts using artificial neural networks

@inproceedings{Collister2004ANNZ,
  title={ANN z : estimating photometric redshifts using artificial neural networks},
  author={Adrian A. Collister and Ofer Lahav},
  year={2004}
}
We introduce annz, a freely available software package for photometric redshift estimation using Artificial Neural Networks. annz learns the relation between photometry and redshift from an appropriate training set of galaxies for which the redshift is already known. Where a large and representative training set is available annz is a highly competitive tool when compared with traditional template-fitting methods. The annz package is demonstrated on the Sloan Digital Sky Survey Data Release 1… CONTINUE READING
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