Browsing Institutt for teoretisk astrofysikk by Author "Margalef, B."

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  • Pushing automated morphological classifications to their limits with the Dark Energy Survey 
    Vega-Ferrero, Jesús; Domínguez Sánchez, Helena; Bernardi, Mariangela; Huertas-Company, M.; Morgan, R.; Margalef, B.; Aguena, Michel; Allam, Sahar; Annis, James; Avila, S.; Bacon, D.; Bertin, Emmanuel; Brooks, D.; Carnero Rosell, Aurelio; Carrasco Kind, Matias; Carretero, Jorge; Choi, A.; Conselice, Christopher; Costanzi, Matteo; da Costa, Luiz N.; Pereira, Maria Elidaiana da Silva; De Vicente, Juan; Desai, S.; Ferrero, Ismael; Fosalba, Pablo; Frieman, Josh; García-Bellido, Juan; Gruen, Daniel; Gruendl, Robert A.; Gschwend, Julia; Gutierrez, G.; Hartley, William G.; Hinton, Samuel R.; Hollowood, Devon L.; Honscheid, Klaus; Hoyle, B.; Jarvis, M.; Kim, Alex G.; Kuehn, Kyler; Kuropatkin, Nikolay; Lima, M.; Maia, Marcio A. G.; Menanteau, Felipe; Miquel, Ramon; Ogando, Ricardo L. C.; Palmese, Antonella; Paz-Chinchón, Francisco; Plazas, Andrés A.; Romer, A. K.; Sanchez, E.; Scarpine, Vic; Schubnell, M.; Serrano, S.; Sevilla-Noarbe, Ignacio; Smith, Mathew; Suchyta, Eric; Swanson, Molly E. C.; Tarlé, Gregory; Tarsitano, F.; To, Chun-Hao; Tucker, D. L.; Varga, Tamas Norbert; Wilkinson, Reese D. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    ABSTRACT We present morphological classifications of ∼27 million galaxies from the Dark Energy Survey (DES) Data Release 1 (DR1) using a supervised deep learning algorithm. The classification scheme separates: ...