The PAU Survey: Photometric redshifts using transfer learning from simulations

16 Apr 2020M. EriksenA. AlarconL. CabayolJ. CarreteroR. CasasF. J. CastanderJ. De VicenteE. FernandezJ. Garcia-BellidoE. GaztanagaH. HildebrandtH. HoekstraB. JoachimiR. MiquelC. PadillaE. SanchezI. Sevilla-NoarbeP. Tallada

In this paper we introduce the \textsc{Deepz} deep learning photometric redshift (photo-$z$) code. As a test case, we apply the code to the PAU survey (PAUS) data in the COSMOS field... (read more)

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