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Dark Energy Survey Deep Field photometric redshift performance and training incompleteness assessment

Fuente: arXiv

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Bibliographic Details
Main Authors:	Cipriano, L. Toribio San, De Vicente, J., Sevilla-Noarbe, I., Hartley, W. G., Myles, J., Amon, A., Bernstein, G. M., Choi, A., Eckert, K., Gruendl, R. A., Harrison, I., Sheldon, E., Yanny, B., Aguena, M., Allam, S. S., Alves, O., Bacon, D., Brooks, D., Campos, A., Rosell, A. Carnero, Carretero, J., Castander, F. J., Conselice, C., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Desai, S., Diehl, H. T., Doel, P., Ferrero, I., Frieman, J., García-Bellido, J., Gaztañaga, E., Giannini, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lee, S., Lidman, C., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Roodman, A., Sanchez, E., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Vincenzi, M., Weaverdyck, N., Wiseman, P.
Format:	Preprint
Published:	2023
Subjects:	Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2312.09721