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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 5.

Quasar class probabilities versus redshift across the four regimes (test sets). Each panel shows, as a function of spectroscopic redshift, the binned-median-predicted probabilities P(QSO_high) (blue), P(QSO_low) (orange), and P(GALAXY) (green); shaded bands show a ﹩\pm \frac{1}{3}\sigma ﹩ per-bin dispersion, and the STAR channel is omitted for clarity. Linestyle encodes the true redshift region: solid for z ≥ 2.1 (true QSO_high) and dashed for z < 2.1 (true QSO_low). From top to bottom: the supervised model baseline, the no-DA model evaluated in its own (mock) domain, the no-DA model transferred as zero-shot to J-PAS, and the SSDA model on J-PAS, each on its respective held-out test set. The vertical dotted line marks the z = 2.1 subclass split, and the horizontal dotted line p = 0.5; the inset quotes the precision (PPV) of each quasar subclass over the full test set.

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