5 papers
OJALÃ: Optimizing J-PAS Astronomy for Large-scale Analysis. A foundation model for the SED of galaxies, QSOs and stars
G. MartÃnez-Solaeche, R. M. González Delgado, R. GarcÃa-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…
Analysis of spatially resolved stellar populations and emission line properties in nearby galaxies with J-PLUS data. II-Results for the M51 group and first comparison with the M101 group
J. Thainá-Batista, R. Cid Fernandes, R. M. González Delgado +19
We characterize the spatially resolved stellar population and emission-line properties of galaxies in the M51 group using the same methodology previously applied to the M101 group,…
Exploring the spatially-resolved capabilities of the J-PAS survey with Py2DJPAS
J. E. RodrÃguez-MartÃn, L. A. DÃaz-GarcÃa, R. M. González Delgado +27
We present Py2DJPAS, a Python-based tool to automate the analysis of spatially resolved galaxies in the \textbf{miniJPAS} survey, a 1~deg precursor of the J-PAS survey, using t…
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 V: combined algorithm
Ignasi Pérez-Rà fols, L. Raul Abramo, Ginés MartÃnez-Solaeche +27
Aims. Quasar catalogues from narrow-band photometric data are used in a variety of applications, including targeting for spectroscopic follow-up, measurements of supermassive black…