Abstract
This project aims to apply machine learning techniques (ML) to spectral synthesis of galaxies. We will use the results of a new application of the STARLIGHT software to a sample of more than 200 thousand galaxies realized by Werle et al. (2019). These results innovate because the synthesis is made taking into account the UV emission of the galaxies, which improves the estimation of stella…