J-PLUS: Support vector machine applied to STAR-GALAXY-QSO classification
Context. In modern astronomy, machine learning has proved to be efficient and effective in mining big data from the newest telescopes. Aims: In this study, we construct a supervised machine-learning algorithm to classify the objects in the Javalambre Photometric Local Universe Survey first data release (J-PLUS DR1). Methods: The sample set is
Wang, C. et al.
Fecha de publicación:
3
2022