Astrofísicas: Bases de datos astronómicas

  • Publicación
    High-resolution Hα imaging of the northern Galactic plane and the IGAPS image database
    The INT Galactic Plane Survey (IGAPS) is the merger of the optical photometric surveys IPHAS and UVEX based on data from the Isaac Newton Telescope (INT)...
  • Publicación
    Identification of red high proper-motion objects in Tycho-2 and 2MASS catalogues using Virtual Observatory tools
    Aims: With available Virtual Observatory tools, we looked for new M dwarfs in the solar neighbourhood and M giants with high tangential velocities. Methods...
  • Publicación
    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...
  • Publicación
    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...
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    J-PLUS: The Javalambre Photometric Local Universe Survey
    The Javalambre Photometric Local Universe Survey (J-PLUS ) is an ongoing 12-band photometric optical survey, observing thousands of square degrees of the...
  • Publicación
    Lamost Observations in the Kepler Field. I. Database of Low-resolution Spectra
    The nearly continuous light curves with micromagnitude precision provided by the space mission Kepler are revolutionizing our view of pulsating stars. They have...
  • Publicación
    Mining the ESO WFI and INT WFC archives for known Near Earth Asteroids. Mega-Precovery software
    The ESO/MPG WFI and the INT WFC wide field archives comprising 330 000 images were mined to search for serendipitous encounters of known Near Earth Asteroids...
  • Publicación
    New database for a sample of optically bright lensed quasars in the northern hemisphere
    In the framework of the Gravitational LENses and DArk MAtter (GLENDAMA) project, we present a database of nine gravitationally lensed quasars (GLQs) that have...
  • Publicación
    On the estimation of stellar parameters with uncertainty prediction from Generative Artificial Neural Networks: application to Gaia RVS simulated spectra
    Aims: We present an innovative artificial neural network (ANN) architecture, called Generative ANN (GANN), that computes the forward model, that is it learns...