Tipo de publicación: Con árbitro

  • Publicación
    The Milky Way's bulge star formation history as constrained from its bimodal chemical abundance distribution
    We conduct a quantitative analysis of the star formation history (SFH) of the Milky Way's (MW) bulge by exploiting the constraining power of its stellar [Fe/H]...
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    The Milky Way's Circular-velocity Curve between 4 and 14 kpc from APOGEE data
    We measure the Milky Way's rotation curve over the Galactocentric range 4 kpc
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    The miniJPAS survey quasar selection - I. Mock catalogues for classification
    In this series of papers, we employ several machine learning (ML) methods to classify the point-like sources from the miniJPAS catalogue, and identify quasar...
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    The miniJPAS survey. Identification and characterization of galaxy populations with the J-PAS photometric system
    The Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) will soon start imaging thousands of square degrees of the northern sky with...
  • Publicación
    The miniJPAS survey: A preview of the Universe in 56 colors
    The Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) will scan thousands of square degrees of the northern sky with a unique set of...
  • Publicación
    The miniJPAS survey: AGN and host galaxy coevolution of X-ray-selected sources
    Studies indicate strong evidence of a scaling relation in the local Universe between the supermassive black hole mass (M BH) and the stellar mass of their host...
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    The miniJPAS survey: Maximising the photo-z accuracy from multi-survey datasets with probability conflation
    We present a new method for obtaining photometric redshifts (photo-z) for sources observed by multiple photometric surveys using a combination (conflation) of...
  • Publicación
    The miniJPAS survey: Photometric redshift catalogue
    MiniJPAS is a ∼1 deg 2 imaging survey of the AEGIS field in 60 bands, performed to demonstrate the scientific potential of the upcoming Javalambre-Physics of...
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    The miniJPAS survey: star-galaxy classification using machine learning
    Context. Future astrophysical surveys such as J-PAS will produce very large datasets, the so-called "big data", which will require the deployment of accurate...