Abstract
Cosmological applications of galaxy surveys depend on the proper identification of sources and extraction of the redshifts of extragalactic objects. This can be greatly enhanced by combining data from narrow-band surveys such as S-PLUS, J-PAS and J-PLUS with the deep photometry, superior spatial resolution and time domain capabilities of the Vera Rubin LSST.We will employ Machine Learning…