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pro vyhledávání: '"de Azevedo, J. L. Melo"'
Autor:
Costa-Duarte, M. V., Sampedro, L., Molino, A., Xavier, H. S., Herpich, F. R., Chies-Santos, A. L., Barbosa, C. E., Cortesi, A., Schoenell, W., Kanaan, A., Ribeiro, T., de Oliveira, C. Mendes, Akras, S., Alvarez-Candal, A., Barbosa, C. L., Castellón, J. L. N., Coelho, P., Dantas, M. L. L., Dupke, R., Ederoclite, A., Galarza, A., Gonçalves, T. S., Hernandez-Jimenez, J. A., Jiménez-Teja, Y., Lopes, A., Lopes, P. A. A., de Oliveira, R. Lopes, de Azevedo, J. L. Melo, Nakazono, L. M., Perottoni, H. D., Queiroz, C., Saha, K., Sodré Jr., L., Telles, E., de Souza, R. C. Thom
We present a star/galaxy classification for the Southern Photometric Local Universe Survey (S-PLUS), based on a Machine Learning approach: the Random Forest algorithm. We train the algorithm using the S-PLUS optical photometry up to $r$=21, matched t
Externí odkaz:
http://arxiv.org/abs/1909.08626