55 citations · 115 across the 24 of their papers we have counts for
4 papers · 1 filter
J-PAS: Semi-Supervised Sim-to-Obs Transfer for Robust Star--Galaxy--Quasar Classification
Daniel López-Cano, L. Raul Abramo, L. Nakazono +28
Modern studies in astrophysics and cosmology increasingly rely on simulations and cross-survey analyses, yet differences in data generation, instrumentation, calibration, and unmod…
The miniJPAS survey quasar selection IV: Classification and redshift estimation with SQUEzE
Ignasi Pérez-Ràfols, L. Raul Abramo, Ginés Martínez-Solaeche +24
We present a list of quasar candidates including photometric redshift estimates from the miniJPAS Data Release constructed using SQUEzE. This work is based on machine-learning clas…
TOPz: Photometric redshifts for J-PAS
J. Laur, E. Tempel, A. Tamm +30
The importance of photometric galaxy redshift estimation is rapidly increasing with the development of specialised powerful observational facilities. We develop a new photometric r…
The miniJPAS survey: star-galaxy classification using machine learning
P. O. Baqui, V. Marra, L. Casarini +31
Future astrophysical surveys such as J-PAS will produce very large datasets, which will require the deployment of accurate and efficient Machine Learning (ML) methods. In this work…