Journal: Astronomy and Astrophysics

  • Publication
    J-PLUS: Detecting and studying extragalactic globular clusters. The case of NGC 1023
    Context. Extragalactic globular clusters (GCs) are key objects in studies of galactic histories. The advent of wide-field surveys, such as the Javalambre...
  • Publication
    J-PLUS: Discovery and characterisation of ultracool dwarfs using Virtual Observatory tools. II. Second data release and machine learning methodology
    Context. Ultracool dwarfs (UCDs) comprise the lowest mass members of the stellar population and brown dwarfs, from M7 V to cooler objects with L, T, and Y...
  • Publication
    J-PLUS: Identification of low-metallicity stars with artificial neural networks using SPHINX
    Context. We present a new methodology for the estimation of stellar atmospheric parameters from narrow- and intermediate-band photometry of the Javalambre...
  • Publication
    J-PLUS: Searching for very metal-poor star candidates using the SPEEM pipeline
    Context. We explore the stellar content of the Javalambre Photometric Local Universe Survey (J-PLUS) Data Release 2 and show its potential for identifying low...
  • Publication
    J-PLUS: Spectral evolution of white dwarfs by PDF analysis
    Aims: We estimated the spectral evolution of white dwarfs with effective temperature using the Javalambre Photometric Local Universe Survey (J-PLUS) second data...
  • Publication
    J-PLUS: Spectroscopic validation of Hα emission line maps in spatially resolved galaxies
    Aims. We present a dedicated automated pipeline to construct spatially resolved emission Hα+[NII] maps and to derive the spectral energy distributions (SEDs) in...
  • Publication
    J-PLUS: Stellar parameters, C, N, Mg, Ca, and [α/Fe] abundances for two million stars from DR1
    Context. The Javalambre Photometric Local Universe Survey (J-PLUS) has obtained precise photometry in 12 specially designed filters for large numbers of...
  • Publication
    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...
  • Publication
    J-PLUS: Support vector regression to measure stellar parameters
    Context. Stellar parameters are among the most important characteristics in studies of stars which, in traditional methods, are based on atmosphere models...