collaborators

8 papers

astro-ph.GA2026

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…

astro-ph.GA2026

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…

astro-ph.SR2025

J-VAR: Analysis of RR Lyrae light curves in seven optical bands

S. Kulkarni, H. Vázquez Ramió, C. López-Sanjuan +13

Context:RR Lyrae stars, with their accurate period and amplitude measurements, constrain stellar evolution and map Galactic structure. The Javalambre VARiability (J-VAR) survey is…

astro-ph.GA2025

J-PAS: First Identification, Physical Properties and Ionization Efficiency of Extreme Emission Line Galaxies

A. Giménez-Alcázar, R. Amorín, J. M. Vílchez +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…

astro-ph.GA2025

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…

astro-ph.IM2025

The miniJPAS and J-NEP surveys: Machine learning for star-galaxy separation

Ana Paula Jeakel, Gabriel Vieira dos Santos, Valerio Marra +27

We present a supervised machine learning classification of sources from the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS) Pathfinder datasets: miniJP…