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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 1.

Representative photometric SEDs, comparing J-PAS observations (solid curves) with DESI→J-PAS mocks (dashed curves). Each solid/dashed pair corresponds to a distinct individual object with a one-to-one mock counterpart (i.e., the dashed curve is the mock constructed for that same source); the multiple curves shown in each panel are therefore not averaged templates but separate objects plotted together for illustration. Panels correspond to different classes. Curves span the effective 55-band set after reliability masking (Section 2.2). For visual clarity, we display examples with i-band signal-to-noise ratio (S/N) >200; this high-S/N cut is used only for visualization and is not applied elsewhere in the analysis. Within each class, the plotted objects are selected from the subset passing this visualization-only S/N cut (randomly chosen from the eligible set). For legibility, we also omit error bars. We intentionally retain bands with missing flux measurements in J-PAS (visible as gaps) to reflect the real observational coverage.

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