activity
20242026
collaborators

29 papers

astro-ph.GA2026

J-PLUS: The stellar mass function of quiescent and star-forming galaxies at 0.05 <= z <= 0.2

F. D. Arizo-Borillo, C. Lopez-Sanjuan, I. Pintos-Castro +22

Aims. We derive the stellar mass function (SMF) of quiescent and star-forming galaxies at z <= 0.2 using 12-band optical photometry from the third data release (DR3) of the Javalam…

astro-ph.CO2026

A Closer Look at the Dynamical State of the High-redshift Galaxy Cluster SPT-CL J2215-3537

Vinicius S. Bessa, Renato A. Dupke, Yolanda Jiménez-Teja

We present a comprehensive reanalysis of the dynamical state of the high-redshift galaxy cluster SPT-CL J2215-3537 (z = 1.16), using the full set of available Chandra observations…

astro-ph.GA2026

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…

astro-ph.SR2026

Stellar characterization with photometric colors from J-PLUS and 2MASS surveys

J. F. Aguilar, P. Cruz, E. Solano +17

Aims. We aim at deriving stellar atmospheric parameters based on the photometric data from the Javalambre Photometric Local Universe Survey (J-PLUS) in addition to near-infrared ph…

astro-ph.GA2026

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…

astro-ph.CO2026

J-PAS: forecast on the primordial power spectrum reconstruction

Guillermo Martínez-Somonte, Airam Marcos-Caballero, Enrique Martínez-González +27

We investigate the capability of the J-PAS survey to constrain the primordial power spectrum using a non-parametric Bayesian method. Specifically, we analyze simulated power spectr…