Photometric classification of QSOs from ALHAMBRA survey using random forest
Benjamin Arroquia-Cuadros, Néstor Sánchez, Vicent Gómez, Pere Blay et autres
Context: Given the current big data era in Astronomy, machine learning based methods have being applied over the last years to identify or classify objects like quasars, galaxies and stars from full sky photometric surveys. Aims: Here we systematically evaluate the performance …