ANNz: Photometric redshifts using Artificial Neural Networks (Collister & Lahav 2004). 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.
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Stefano Cavuoti, Massimo Brescia, Virgilio De Stefano, Giuseppe Longo: PhotoRaptor - Photometric Research Application To Redshifts (2016) arXiv
- Troxel, M. A.; Ishak, Mustapha: The intrinsic alignment of galaxies and its impact on weak gravitational lensing in an era of precision cosmology (2015)