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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 6.

Zoom on the z ≃ 2.1 transition. Predicted probabilities P(QSO_high) (blue), P(QSO_low) (orange), and P(GALAXY) (green) in the narrow window 2.06 ≲ z ≲ 2.14, for the no-DA model on the high-statistics DESI→J-PAS mock training sample, which provides the dense sampling needed to resolve the crossover; linestyles and the dotted guidelines are as in Figure 5. The median P(QSO_high) climbs through 0.5 as z crosses 2.1 while P(QSO_low) symmetrically falls.

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