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From the 1 of 17 linked papers with an AI index.

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17 papers

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

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…

astro-ph.GA2026

The miniJPAS survey: Dissecting galaxy properties across environments with spatially resolved photometry

J. E. Rodríguez-Martín, R. M. González Delgado, L. A. Díaz-García +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…

astro-ph.GA2026

Exploring the spatially-resolved capabilities of the J-PAS survey with Py2DJPAS

J. E. Rodríguez-Martín, L. A. Díaz-García, 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…

astro-ph.IM2026

J-PAS: Semi-Supervised Sim-to-Obs Transfer for Robust Star--Galaxy--Quasar Classification

Daniel López-Cano, L. Raul Abramo, L. Nakazono +28

Modern studies in astrophysics and cosmology increasingly rely on simulations and cross-survey analyses, yet differences in data generation, instrumentation, calibration, and unmod…