"A machine learning approach to galaxy properties: Joint redshift - stellar ..."

S. Mucesh et al. (2020)

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access: open

type: Informal or Other Publication

metadata version: 2024-10-06

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  - journals/corr/abs-2012-05928
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  - https://dblp.org/rec/journals/corr/abs-2012-05928
S. Mucesh, William G. Hartley, Antonella Palmese, Ofer Lahav, L. Whiteway, A. Amon, Keith C. Bechtol, Gary M. Bernstein, Aurelio Carnero Rosell, Matias Carrasco Kind, A. Choi, K. Eckert, S. Everett, Daniel Gruen, Robert A. Gruendl, I. Harrison, E. M. Huff, Nikolay Kuropatkin, Ignacio Sevilla-Noarbe, Erin Sheldon, Brian Yanny, Michel Aguena, Sahar Allam, D. Bacon, Emmanuel Bertin, S. Bhargava, D. Brooks, Jorge Carretero, Francisco J. Castander, Christopher J. Conselice, Matteo Costanzi, Martín Crocce, Luiz Nicolaci da Costa, M. E. S. Pereira, J. DeVicente, Shantanu Desai, H. Thomas Diehl, Alex Drlica-Wagner, August E. Evrard, I. Ferrero, Brenna L. Flaugher, Pablo Fosalba, Joshua A. Frieman, Juan García-Bellido, Enrique Gaztañaga, David W. Gerdes, Julia Gschwend, G. Gutierrez, Samuel R. Hinton, Devon L. Hollowood, Klaus Honscheid, David J. James, K. Kuehn, Marcos Lima, H. Lin, Marcio A. G. Maia, Peter Melchior, Felipe Menanteau, Ramon Miquel, Robert Morgan, Francisco Paz-Chinchón, Andreas Alejandro Plazas, Eusebio Sánchez, Victor E. Scarpine, Michael S. Schubnell, Santiago Serrano, M. Smith, Eric Suchyta, Gregory G. Tarlé, D. Thomas, C. To, T. N. Varga, R. D. Wilkinson:
A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest. CoRR abs/2012.05928 (2020)

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