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Using Active Learning to Improve Quasar Identification for the DESI Spectra Processing Pipeline

Fuente: arXiv

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Bibliographic Details
Main Authors:	Green, Dylan, Kirkby, David, Aguilar, J., Ahlen, S., Alexander, D. M., Armengaud, E., Bailey, S., Bault, A., Bianchi, D., Brodzeller, A., Brooks, D., Claybaugh, T., de Belsunce, R., de la Macorra, A., Doel, P., Fawcett, V. A., Ferraro, S., Font-Ribera, A., Forero-Romero, J. E., Gaztañaga, E., Gontcho, S. Gontcho A, Gutierrez, G., Ishak, M., Juneau, S., Kehoe, R., Kisner, T., Kremin, A., Lambert, A., Landriau, M., Guillou, L. Le, Levi, M. E., Manera, M., Meisner, A., Miquel, R., Moustakas, J., Myers, A. D., Palanque-Delabrouille, N., Prada, F., Pérez-Ràfols, I., Rossi, G., Sanchez, E., Saulder, C., Schlegel, D., Schubnell, M., Seo, H., Sinigaglia, F., Sprayberry, D., Tan, T., Tarlé, G., Weaver, B. A., Youles, S., Yu, J., Zhou, R., Zou, H.
Format:	Preprint
Published:	2025
Subjects:	Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2505.01596