27 citations · 51 across the 6 of their papers we have counts for
3 papers · 1 filter
J-PLUS: Identifying Outlier Spectral Energy Distributions in the Fourth Data Release Using Unsupervised Machine Learning
F. Quispe-Huaynasi, F. Roig, V. Loaiza-Tacuri +25
The selection of candidates belonging to rare or underrepresented stellar populations, as well as novel objects, is essential for spectroscopic follow-up. In this work, we demonstr…
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…