Separação de estrelas-galáxias usando algoritmos de machine learning aplicados aos dados preliminares do survey MINIJPAS.

Abstract

Future astrophysical research such as JPAS will produce huge datasets never seen before, reaching a rate of 150 TB per day. Therefore, new tools for processing this amount of data must be employed. Preferably they will provide us with an almost real-time