Astrophysical: Methods

  • Publication
    Lucky Imaging of M subdwarfs
    Context: The knowledge of the binary properties of metal-poor and solar-metallicity stars can shed light on the potential differences between the formation...
  • Publication
    Lucky imaging speckle statistics applied to halo suppression
    In ground based astronomy, the Lucky Imaging (LI) technique consists of selecting the best quality pictures among those that have been taken with a short...
  • Publication
    Lucky spectroscopy, an equivalent technique to lucky imaging. II. Spatially resolved intermediate-resolution blue-violet spectroscopy of 19 close massive binaries using the William Herschel Telescope
    Context. Many massive stars have nearby companions. These hamper a characterization of massive stars through spectroscopy. Aims: We continue to obtain spatially...
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    Lucky Spectroscopy, an equivalent technique to Lucky Imaging. Spatially resolved spectroscopy of massive close visual binaries using the William Herschel Telescope
    Context. Many massive stars have nearby companions whose presence hamper their characterization through spectroscopy. Aims: We want to obtain spatially resolved...
  • Publication
    Luminous giants populate the dense Cosmic Web. The radio luminosity-environmental density relation for radio galaxies in action
    Context. Giant radio galaxies (GRGs, giant RGs, or giants) are megaparsec-scale, jet-driven outflows from accretion disks of supermassive black holes, and...
  • Publication
    Lyman break galaxy close and interacting pairs at z ~ 3
    Investigations of interacting and merging galaxies at high redshift are vital to our understanding of their formation and evolution. To date, the identification...
  • Publication
    Machine learning for galactic archaeology: a chemistry-based neural network method for identification of accreted disc stars
    We develop a method ('Galactic Archaeology Neural Network', GANN) based on neural network models (NNMs) to identify accreted stars in galactic discs by only...
  • Publication
    Machine learning for transient recognition in difference imaging with minimum sampling effort
    The amount of observational data produced by time-domain astronomy is exponentially increasing. Human inspection alone is not an effective way to identify...
  • Publication
    Machine learning in APOGEE. Identification of stellar populations through chemical abundances
    Context. The vast volume of data generated by modern astronomical surveys offers test beds for the application of machine-learning. In these exploratory...