3 papers
astro-ph.GA2026
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…
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…
astro-ph.CO2024
Characterizing Structure Formation through Instance Segmentation
Daniel López-Cano, Jens Stücker, Marcos Pellejero Ibañez +2
Dark matter haloes form from small perturbations to the almost homogeneous density field of the early universe. Although it is known how large these initial perturbations must be t…