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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 7.

Per-class diagnostics across regimes. Panels on left the show, from top to bottom: accuracy, F1, TPR/recall. Panels on the right show, from top to bottom: precision/PPV, AUC, and ECE. Within each panel, bars are grouped by true class (QSO_high, QSO_low, GALAXY, STAR); values are printed above the bars, and dashed horizontal lines mark the per-class top-performance model. Colors are fixed across all panels and figures: orange = J-PAS supervised (evaluated on the J-PAS Observations test split), blue = Mocks no-DA in-domain (trained and evaluated on DESI→J-PAS mocks), pink = J-PAS no-DA (trained on mocks, evaluated zero-shot on the J-PAS Observations test split), and green = J-PAS SSDA (mock-pretrained encoder adapted on a small, labeled J-PAS set —15,597 objects, of which only 242 are QSO_high; evaluated on the J-PAS Observations test split).

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