Identifying type II quasars at intermediate redshift with few-shot learning photometric classification

Documenti analoghi

• Exploring the physical properties of Type II Quasar candidates at intermediate redshifts with CIGALE
  di: Cunha, P. A. C., et al.
  Pubblicazione: (2025)
• Making the most of pure parallels: Machine learning augmented photometric redshifts for sparse JWST filter sets
  di: Duncan, Kenneth J.
  Pubblicazione: (2025)
• Euclid Quick Data Release (Q1): Euclid spectroscopy of quasars. 1. Identification and redshift determination of 3500 bright quasars
  di: Euclid Collaboration, et al.
  Pubblicazione: (2025)
• Deep learning based photometric redshifts for the Kilo-Degree Survey Bright Galaxy Sample
  di: William, Anjitha John, et al.
  Pubblicazione: (2023)
• Through the fog: a complementary optical galaxy classification scheme for 'intermediate' redshifts
  di: Santos, Duarte Muñoz, et al.
  Pubblicazione: (2025)