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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 2.

Class balance in our two working datasets: full DESI→J-PAS mocks (source; dashed) versus the labeled J-PAS×DESI subset (target; solid). The y-axis shows the relative frequency per magnitude bin normalized by the total size of the mock catalog (≃1.5 × 106 unique sources); consequently, curves appear on the same percentage scale and trace each other in shape even though absolute counts differ widely (NMocks ≫ NJ-PAS; see the total per-class counts in the annotated boxes). The figure includes all objects after our data curation (Section 2.2); no train/validation/test splits or magnitude cuts are applied here.

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