3 papers
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…
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…
Exploring the halo-galaxy connection with probabilistic approaches
Natália V. N. Rodrigues, Natalà S. M. de Santi, L. Raul Abramo +1
The connection between galaxies and dark matter halos encompasses a range of processes and play a pivotal role in our understanding of galaxy formation and evolution. Traditionally…