A machine learning approach to galaxy properties: joint redshift-stellar mass probability distributions with Random Forest
Mucesh, S, Hartley, W G, Palmese, A, Lahav, O, Whiteway, L, Bluck, A F L, Alarcon, A, Amon, A, Bechtol, K, Bernstein, G M, A Carnero Rosell, M Carrasco Kind, Choi, A, Eckert, K, Everett, S, Gruen, D, Gruendl, R A, Harrison, I, Huff, E M, Kuropatkin, N, Sevilla-Noarbe, I, Sheldon, E, Yanny, B, Aguena, M, Allam, S, Bacon, D, Bertin, E, Bhargava, S, Brooks, D, Carretero, J, Castander, F J, Conselice, C, Costanzi, M, Crocce, M, da Costa, L N, Pereira, M E S, De Vicente, J, Desai, S, Diehl, H T, Drlica-Wagner, A, Evrard, A E, Ferrero, I, Flaugher, B, Fosalba, P, Frieman, J, García-Bellido, J, Gaztanaga, E, Gerdes, D W, Gschwend, J, Gutierrez, G, Hinton, S R, Hollowood, D L, Honscheid, K, James, D J, Kuehn, K, Lima, M, Lin, H, Maia, M A G, Melchior, P, Menanteau, F, Miquel, R, Morgan, R, Paz-Chinchón, F, Plazas, A A, Sanchez, E, Scarpine, V, Schubnell, M, Serrano, S, Smith, M, Suchyta, E, Tarle, G, Thomas, D, C To, Varga, T N, Wilkinson, R D
Published in arXiv.org (19.02.2021)
Published in arXiv.org (19.02.2021)
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