66 citations · 133 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
The miniJPAS survey quasar selection III: Classification with artificial neural networks and hybridisation
G. Martínez-Solaeche, Carolina Queiroz, R. M. González Delgado +28
This paper is part of large effort within the J-PAS collaboration that aims to classify point-like sources in miniJPAS, which were observed in 60 optical bands over 1 deg$^2…
The miniJPAS survey quasar selection II: Machine learning classification with photometric measurements and uncertainties
Natália V. N. Rodrigues, L. Raul Abramo, Carolina Queiroz +23
Astrophysical surveys rely heavily on the classification of sources as stars, galaxies or quasars from multi-band photometry. Surveys in narrow-band filters allow for greater discr…
High-fidelity reproduction of central galaxy joint distributions with Neural Networks
Natália V. N. Rodrigues, Natalí S. M. de Santi, Antonio D. Montero-Dorta +1
The relationship between galaxies and haloes is central to the description of galaxy formation, and a fundamental step towards extracting precise cosmological information from gala…