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J-PAS: Semisupervised Sim-to-Obs Transfer for Robust Star–Galaxy–Quasar Classification

  • Authors: Daniel López-Cano, L. Raul Abramo, L. Nakazono, I. Pérez-Ráfols, G. Martínez-Solaeche, J. Chaves-Montero, Matthew M. Pieri, Jailson Alcaniz, Narciso Benitez, Silvia Bonoli, Saulo Carneiro, Javier Cenarro, David Cristóbal-Hornillos, Simone Daflon, Renato Dupke, Alessandro Ederoclite, Rosa González Delgado, Antonio Hernán-Caballero, Carlos Hernández–Monteagudo, Jifeng Liu, Carlos López-Sanjuan, Antonio Marín-Franch, Claudia Mendes de Oliveira, Mariano Moles, Fernando Roig, Laerte Sodré, Keith Taylor, Jesús Varela, Héctor Vázquez Ramió, Jose Vilchez, Javier Zaragoza-Cardiel

Daniel López-Cano et al 2026 The Astrophysical Journal 1008 .

  • Provider: AAS Journals

Caption: Figure 3.

Confusion matrices for four complementary evaluations: (top left) J-PAS-supervised model—J-PAS Obs. test, target-only baseline; (top right) No-DA model—mock test, source-domain evaluation on the mock test split; (bottom left) No-DA model—J-PAS Obs. test (zero-shot), transfer of the mock-trained model; and (bottom right) SSDA model—J-PAS Obs. test, the same model after semisupervised adaptation. Cells show counts; the colormap is row normalized to aid visual comparison. Diagonals also list TPR (recall), PPV (precision), and F1 (see Equation (3)) for each class.

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