Showing 1–17 of 17 results
/ Date/ Name
Sep 26, 2022Euclid preparation: XXII. Selection of Quiescent Galaxies from Mock Photometry using Machine LearningSep 29, 2022Machine-learning classification of astronomical sources: estimating F1-score in the absence of ground truthJul 10, 2024Euclid preparation. LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methodsDec 9, 2025Euclid Quick Data Release (Q1): Euclid spectroscopy of quasars. 1. Identification and redshift determination of 3500 bright quasarsMay 22, 2024Euclid. I. Overview of the Euclid missionSep 20, 2023Selection of powerful radio galaxies with machine learningApr 5, 2022Photometric redshift-aided classification using ensemble learningMar 5, 2025Exploring the physical properties of Type II Quasar candidates at intermediate redshifts with CIGALEMar 19, 2025Euclid Quick Data Release (Q1) Exploring galaxy properties with a multi-modal foundation modelMay 22, 2024Identifying type II quasars at intermediate redshift with few-shot learning photometric classificationNov 4, 2025Euclid Quick Data Release (Q1). Spectroscopic unveiling of highly ionised lines at z = 2.48-3.88Apr 17, 2025Euclid preparation. Estimating galaxy physical properties using CatBoost chained regressors with attentionMar 3, 2026The MUSE-Faint survey V. The binary fraction of Leo TAug 30, 2024Euclid preparation. XLIX. Selecting active galactic nuclei using observed coloursMar 19, 2025Euclid Quick Data Release (Q1) First study of red quasars selectionDec 5, 2022Improving machine learning-derived photometric redshifts and physical property estimates using unlabelled observationsSep 26, 2025A gradient boosting and broadband approach to finding Lyman-α emitting galaxies beyond narrowband surveys