The miniJPAS survey quasar selection – I. Mock catalogues for classification

ABSTRACT In this series of papers, we employ several machine learning (ML) methods to classify the point-like sources from the miniJPAS catalogue, and identify quasar candidates. Since no representative sample of spectroscopically confirmed sources exists at present to train these ML algorithms, we...

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Veröffentlicht in:	Monthly notices of the Royal Astronomical Society 2022-10, Vol.520 (3)
Hauptverfasser:	Queiroz, Carolina, Abramo, L. Raul, Rodrigues, Natália V. N., Pérez-Ràfols, Ignasi, Martínez-Solaeche, Ginés, Hernán-Caballero, Antonio, Hernández-Monteagudo, Carlos, Lumbreras-Calle, Alejandro, Pieri, Matthew M., Morrison, Sean S., Bonoli, Silvia, Chaves-Montero, Jonás, Chies-Santos, Ana L., Díaz-García, L. A., Fernandez-Soto, Alberto, González Delgado, Rosa M., Alcaniz, Jailson, Benítez, Narciso, Javier Cenarro, A., Civera, Tamara, Dupke, Renato A., Ederoclite, Alessandro, López-Sanjuan, Carlos, Marín-Franch, Antonio, Mendes de Oliveira, Claudia, Moles, Mariano, Muniesa, David, Sodré, Laerte, Taylor, Keith, Varela, Jesús, Vázquez Ramió, Héctor
Format:	Artikel
Sprache:	eng
Schlagworte:	Astronomy & Astrophysics
Online-Zugang:	Volltext
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