SOMz: photometric redshift PDFs with self organizing maps and random atlas

M. Carrasco Kind, R. J. Brunner

In this paper we explore the applicability of the unsupervised machine learning technique of Self Organizing Maps (SOM) to estimate galaxy photometric redshift probability density…