2 papers
astro-ph.CO2026
Predicting galaxy bias using machine learning
Catalina Riveros-Jara, Antonio D. Montero-Dorta, Natália V. N. Rodrigues +6
Understanding how galaxies trace the underlying matter density field is essential for characterizing the influence of the large-scale structure on galaxy formation, being therefore…
astro-ph.CO2025
The miniJPAS survey quasar selection V: combined algorithm
Ignasi Pérez-Rà fols, L. Raul Abramo, Ginés MartÃnez-Solaeche +27
Aims. Quasar catalogues from narrow-band photometric data are used in a variety of applications, including targeting for spectroscopic follow-up, measurements of supermassive black…