309 citations · 4.1k across the 84 of their papers we have counts for
19 papers · 1 filter
OJALÁ: Optimizing J-PAS Astronomy for Large-scale Analysis. A foundation model for the SED of galaxies, QSOs and stars
G. Martínez-Solaeche, R. M. González Delgado, R. García-Benito +37
The advent of large-scale surveys requires efficient ML techniques to exploit the information of massive datasets. We present OJALA, a transformer-based autoregressive foundation m…
An Extended Catalogue of galaxy morphology using Deep Learning in Southern Photometric Local Universe Survey Data Release 3
C. R. Bom, A. Cortesi, U. Ribeiro +22
The morphological diversity of galaxies is a relevant probe of galaxy evolution and cosmological structure formation. However, in large sky surveys, even the morphological classifi…
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…
The miniJPAS survey: The galaxy populations in the most massive cluster in miniJPAS, mJPC2470-1771
J. E. Rodríguez Martín, R. M. González Delgado, G. Martínez-Solaeche +33
The miniJPAS is a 1 deg survey that uses the Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) filter system (54 narrow-band filters) with the Pathfi…
The miniJPAS survey: The role of group environment in quenching the star formation
R. M. González Delgado, J. E. Rodríguez-Martín, L. A. Díaz-García +32
The miniJPAS survey has observed deg on the AEGIS field with 60 bands (spectral resolution of ) in order to demonstrate the capabilities of the Javalambre-P…