Astrophysical: Astronomical databases

  • Publication
    A fast version of the k-means classification algorithm for astronomical applications
    Context. K-means is a clustering algorithm that has been used to classify large datasets in astronomical databases. It is an unsupervised method, able to cope...
  • Publication
    A universal method for solar filament detection from Hα observations using semi-supervised deep learning
    Filaments are omnipresent features in the solar atmosphere. Their location, properties, and time evolution can provide important information about changes in...
  • Publication
    Abundances, Stellar Parameters, and Spectra from the SDSS-III/APOGEE Survey
    The SDSS-III/Apache Point Observatory Galactic Evolution Experiment (APOGEE) survey operated from 2011–2014 using the APOGEE spectrograph, which collects high...
  • Publication
    Automated Unsupervised Classification of the Sloan Digital Sky Survey Stellar Spectra using k-means Clustering
    Large spectroscopic surveys require automated methods of analysis. This paper explores the use of k-means clustering as a tool for automated unsupervised...
  • Publication
    Automatic spectral classification of stellar spectra with low signal-to-noise ratio using artificial neural networks
    Context. As part of a project aimed at deriving extinction-distances for thirty-five planetary nebulae, spectra of a few thousand stars were analyzed to...
  • Publication
    CARMENES input catalogue of M dwarfs. V. Luminosities, colours, and spectral energy distributions
    Context. The relevance of M dwarfs in the search for potentially habitable Earth-sized planets has grown significantly in the last years. Aims: In our on-going...
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    CARMENES input catalogue of M dwarfs: IX. Multiplicity from close spectroscopic binaries to ultra-wide systems
    Context. Multiplicity studies greatly benefit from focusing on M dwarfs because they are often paired in a variety of configurations with both stellar and...
  • Publication
    Dozens of virtual impactor orbits eliminated by the EURONEAR VIMP DECam data mining project
    Context. Massive data mining of image archives observed with large etendue facilities represents a great opportunity for orbital amelioration of poorly known...
  • Publication
    EURONEAR: Data mining of asteroids and Near Earth Asteroids
    Besides new observations, mining old photographic plates and CCD image archives represents an opportunity to recover and secure newly discovered asteroids, also...