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…
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: First Identification, Physical Properties and Ionization Efficiency of Extreme Emission Line Galaxies
A. Giménez-Alcázar, R. AmorÃn, J. M. VÃlchez +32
Extreme emission line galaxies (EELGs) are key tracers of intense star formation and potential analogues of the sources that reionized the early Universe. Their low-redshift counte…
J-PAS: A value-added catalogue of optical line intensities for nebular emission galaxies (JOLINES)
J. A. Fernández-Ontiveros, C. López-Sanjuan, A. Hernán-Caballero +38
We present the value-added catalogue JOLINES (J-PAS optical line intensities for nebular emission galaxies), which provides emission-line fluxes in galaxies at from the spectrophot…
J-PAS: A Neural Network Approach to Single Stellar Population Characterization
H. DomÃnguez Sánchez, P. Coelho, G. Bruzual +28
J-PAS (Javalambre Physics of the Accelerating Universe Astrophysical Survey) will present a groundbreaking photometric survey covering 8500 deg of the visible sky from Javalamb…