13 citations · 25 across the 7 of their papers we have counts for
5 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…
J-PAS: unprecedented precision in stellar populations of diffuse tidal features
Sepideh Eskandarlou, Mohammad Akhlaghi, Francisco Arizo-Borillo +38
Galaxies frequently interact with nearby systems, a process that can significantly alter their morphology and star formation activity. However, spectroscopic studies of their faint…
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,…
J-PLUS: The planetary nebula population of M 33
Giovanna Liberato, Denise R. Gonçalves, Arianna Cortesi +21
In this pilot study, we investigate the PN population in M~33, a nearby spiral galaxy (~kpc), using data from the DR3 of the Javalambre-Photometric Local Universe Surve…
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…