Astrofísicas: Métodos

  • Publicación
    Luminaries in the sky: The TESS LEGACY sample of bright stars: II. In-depth seismic characterisation of 32 naked-eye stars in the PLATO LOP fields
    The Transiting Exoplanet Survey Satellite (TESS) is conducting a nearly full-sky survey, enabling the photometric characterisation of millions of stars. The...
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    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...
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    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...
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    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...
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    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...
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    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...
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    Machine learning in APOGEE. Unsupervised spectral classification with K-means
    Context. The volume of data generated by astronomical surveys is growing rapidly. Traditional analysis techniques in spectroscopy either demand intensive human...
  • Publicación
    Machine learning in solar physics
    The application of machine learning in solar physics has the potential to greatly enhance our understanding of the complex processes that take place in the...
  • Publicación
    Machine-learning approaches to exoplanet transit detection and candidate validation in wide-field ground-based surveys
    Since the start of the Wide-angle Search for Planets (WASP) program, more than 160 transiting exoplanets have been discovered in the WASP data. In the past...