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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 8.

Classwise F1 versus r-band magnitude cuts. Each polygon shows per-class F1 for a specific r-band selection (cuts indicated in the legend). Axes correspond to classes (QSO_high, QSO_low, GALAXY, STAR); the radius encodes F1 in [0, 1] with concentric gridlines for reference. Markers and linestyles match Figure 4. For each magnitude cut, the J-PAS-based regimes are tested on the J-PAS Observations test split, while the “mocks no-DA” pipeline is evaluated employing the mock test split. Because the J-PAS×DESI test set is comparatively small, some cuts leave few objects per class (e.g., only 11 QSO_high for 17 ≤ r < 19 and 54/28 STAR for 21 ≤ r < 22 and 22 < r ≤ 22.5), so apparent swings can be dominated by counting noise and should not be overinterpreted.

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