The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning
(2023)
Journal Article
Cabayol, L., Eriksen, M., Carretero, J., Casas, R., Castander, F., Fernández, E., Garcia-Bellido, J., Gaztanaga, E., Hildebrandt, H., Hoekstra, H., Joachimi, B., Miquel, R., Padilla, C., Pocino, A., Sanchez, E., Serrano, S., Sevilla, I., Siudek, M., Tallada-Crespí, P., Aghanim, N., …Tramacere, A. (2023). The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning. Astronomy & Astrophysics, 671, Article A153. https://doi.org/10.1051/0004-6361/202245027
Current and future imaging surveys require photometric redshifts (photo-zs) to be estimated for millions of galaxies. Improving the photo-z quality is a major challenge but is needed to advance our understanding of cosmology. In this paper we explore... Read More about The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning.