Speaker
F. Barrientos
Description
The u-band VST ATLAS Survey (UVAS) is the Chilean extension of the ATLAS survey. This correspond to a second observation in the u-band for the whole ATLAS survey area, effectively doubling the exposure time of the parent survey. One of the main goals of ATLAS/UVAS is the identification of a significant number of QSOs (surface density of ~100 per sq deg) to trace the BAO for cosmological applications.
In this work I will present our efforts to exploit ATLAS/UVAS using machine learning and deep learning algorithms, in collaboration with computer science researchers, to identify interesting samples of objects such as QSOs and strongly lensed galaxies.
