Nicola R. Napolitano

This study examines galaxies forming stars, comparing data and simulations to understand their properties.

A machine learning model aids in classifying celestial objects with high accuracy.

Research reveals new candidates for strongly lensed quasars using machine learning techniques.

CASCO enhances knowledge of galaxy formation through simulations and observational data.

A new system revolutionizes how we analyze cosmic spectra, boosting efficiency and accuracy.