The SiTian project, designed to utilize 60 telescopes distributed across multiple sites in China, is a next-generation time-domain survey initiative. As a...
The miniJPAS and J-NEP Surveys: Machine Learning for Star-Galaxy Separation
We present a supervised machine learning classification of sources from the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS)...
The miniJPAS survey quasar selection - I. Mock catalogues for classification
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...
The miniJPAS survey quasar selection: V. Combined algorithm
Aims. Quasar catalogues from narrow-band photometric data are used in a variety of applications, including targeting for spectroscopic follow-up, measurements...
The miniJPAS survey. Identification and characterization of galaxy populations with the J-PAS photometric system
The Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) will soon start imaging thousands of square degrees of the northern sky with...
The miniJPAS survey: A preview of the Universe in 56 colors
The Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) will scan thousands of square degrees of the northern sky with a unique set of...
The miniJPAS survey: AGN and host galaxy coevolution of X-ray-selected sources
Studies indicate strong evidence of a scaling relation in the local Universe between the supermassive black hole mass (M BH) and the stellar mass of their host...
The miniJPAS survey: Dissecting galaxy properties across environments with spatially resolved photometry
The Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) is an ongoing observational programme aiming to map thousands of square degrees...