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From the 1 of 13 linked papers with an AI index.

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13 papers

astro-ph.GA2026

Dynamics of tidal dwarf galaxies in the system Arp 72

Osvan M. Portilla-Narvaez, Javier Zaragoza-Cardiel, Gisela N. Ortiz-León +6

Some interactions between galaxies produce tidal tails primarily composed of material from their disks. Within these tails, concentrations of gas and stars can form, resembling dwa…

astro-ph.CO2026

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…

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.EP2026

Size, shape, density, and atmospheric limit of (50000) Quaoar revealed from 14 years of stellar occultation

Giuliano Margoti, Felipe Braga-Ribas, José Luis Ortiz +173

We present results from 28 stellar occultations by the large Trans-Neptunian Object (50000) Quaoar registered between 2018 and 2025. By performing a joint analysis of this occultat…

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.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…