ANNz: Artificial Neural Networks for estimating photometric redshifts
Abstract: ANNz is 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.
For a newer implementation of this package, please see ANNz2 (ascl:1910.014).
Credit: Lahav, Ofer; Collister, Adrian A.
Site: http://www.homepages.ucl.ac.uk/~ucapola/annz.html
https://ui.adsabs.harvard.edu/abs/2004PASP..116..345C
Bibcode: 2012ascl.soft09009L
ID: ascl:1209.009