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The PAU survey: photometric redshifts using transfer learning from simulations
Eriksen, M.; Alarcon, A.; Cabayol, L.; Carretero, J.; Casas, R.; Castander, F.J.; ... ; Tallada, P. 2020
The PAU survey: photometric redshifts using transfer learning from simulations
Article / Letter to editor
open access
Euclid Near-infrared Imaging Reduction Pipeline: Astrometric Calibration, Resampling and Stacking
Silva, R.; Radovich, M.; Bonchi, A.; Faustini, F.; Frailis, M.; Polenta, G.; ... ; Tonello, N. 2019
Euclid Near-infrared Imaging Reduction Pipeline: Astrometric Calibration, Resampling and Stacking
Article in monograph or in proceedings
open access
The PAU survey: background light estimation with deep learning techniques
Cabayol-Garcia, L.; Eriksen, M.; Alarcón, A.; Amara, A.; Carretero, J.; Casas, R.; ... ; Tortorelli, L. 2019
The PAU survey: background light estimation with deep learning techniques
Article / Letter to editor
open access
The PAU Survey: early demonstration of photometric redshift performance in the COSMOS field
Eriksen, M.; Alarcon, A.; Gaztanaga, E.; Amara, A.; Cabayol, L.; Carretero, J.; ... ; Tortorelli, L. 2019
The PAU Survey: early demonstration of photometric redshift performance in the COSMOS field
Article / Letter to editor
open access
The PAU survey: star-galaxy classification with multi narrow-band data
Cabayol, L.; Sevilla-Noarbe, I.; Fernández, E.; Carretero, J.; Eriksen, M.; Serrano, S.; ... ; Tortorelli, L. 2018
The PAU survey: star-galaxy classification with multi narrow-band data
Article / Letter to editor
open access