From the 1 of 18 linked papers with an AI index.
18 papers
J-PAS & FLAMINGO: Cosmic voids and void galaxies in the gravitational landscape of photometric surveys
J. A. Mansour, B. McCarthy, L. J. Liivamägi +34
The paper presents a method that uses a quasi‑gravitational potential field to identify dynamically dominant cosmic voids and their galaxies in photometric surveys like J‑PAS, show…
J-PLUS: Spectral classification and photometric redshifts for 79 million sources in the fourth data release
A. Hernán-Caballero, H. Vázquez Ramió, C. López-Sanjuan +20
We present spectral classifications and photometric redshifts for 79.2 million sources up to an r-band magnitude of 22 in Data Release 4 of the Javalambre Photometric Local Univers…
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,…
The miniJPAS survey: Dissecting galaxy properties across environments with spatially resolved photometry
J. E. RodrÃguez-MartÃn, R. M. González Delgado, L. A. DÃaz-GarcÃa +27
The Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) is an ongoing survey mapping thousands of square degrees in the Northern Hemisphere using 56 narrow…
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…