Tipo de publicación: Sin árbitro

  • Publicación
    From metal-poor to metal-rich: new insights on Milky Way bar, bulge and disc with machine learning and Gaia.
    Machine Learning applications such as the hybrid-CNN (Guigluon et al. 2024) allows to homogeneously combine Gaia RVS spectra, photometry (G, BP, RP), parallaxes...
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    From nearby clusters to Fossil Groups. Clues through their luminosity functions
    Not Available
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    From science to industry, technology transference with CubeSats
    The Instituto de Astrofísica de Canarias (IAC) has as main objective to promote and carry out all types of research in astrophysics and its related fields. This...
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    From the blue cloud to the red sequence (and over the green valley): investigating the evolution of galaxies over cosmological timescales
    Not Available
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    From the Central Kiloparsec to the Central Parsec
    In this review I address some of the global properties of galaxies which show nuclear activity, or central starbursts. Confining my attention to the inner...
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    From the ground to space: an infrared view of active galactic nuclei
    In the past 10-15 years our view of the circumnuclear material of active galactic nuclei (AGN) has completely changed thanks to the combination of new...
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    Fueling and Morphology of Central Starbursts
    Of the mechanisms proposed to bring gaseous fuel into the central starburst regions of a galaxy, non-axisymmetries in the gravitational potential set up by...
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    Fuelling starbursts and AGN
    There is considerable evidence that the circumnuclear regions of galaxies are intimately related to their host galaxies, most directly through their bars. There...
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    Fuelling starbursts and nuclear rings
    The question of how a starburst is fuelled is closely related to some of the main outstanding problems in our understanding of starbursts, namely which...