The Milky Way Tomography with SDSS. III. Stellar Kinematics
We study Milky Way kinematics using a sample of 18.8 million main-sequence stars with r 20 and proper-motion measurements derived from Sloan Digital Sky Survey...
The Milky Way's bulge star formation history as constrained from its bimodal chemical abundance distribution
We conduct a quantitative analysis of the star formation history (SFH) of the Milky Way's (MW) bulge by exploiting the constraining power of its stellar [Fe/H]...
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...