DNF - Galaxy photometric redshift by Directional Neighbourhood Fitting

Understand

Wide field images taken in several photometric bands allow simultaneous measurement of redshifts for thousands of galaxies.

• A variety of algorithms to make this measurement have appeared in the last few years, the majority of which can be classified as either template or training based methods.
• Among the latter, nearest neighbour estimatorsstand out as one of the most successful, in terms of both precision and the quality of error estimation.
• In this paper we describe the Directional Neighbourhood Fitting (DNF) algorithm based on the following: a new neighbourhood metric (Directional Neighbourhood), a photo-z estimation strategy (Neighbourhood Fitting) and a method for generating the photo-z probability distribution function.