Dark Energy Survey Deep Field photometric redshift performance and training incompleteness assessment
Context. The determination of accurate photometric redshifts (photo-zs) in large imaging galaxy surveys is key for cosmological studies. One of the most common approaches is machine learning techniques. These methods require a spectroscopic or reference sample to train the algorithms. Attention has to be paid to the quality and properties of these
Toribio San Cipriano, L. et al.
Fecha de publicación:
6
2024