Publicaciones

Esta sección ofrece el acceso a la base de datos de Publicaciones que recopila los artículos del IAC publicados en revistas científicas. Por favor, pulsa la flecha del menú para ver todas las opciones de búsqueda y de ordenación de resultados; autor, revista, año, etc..

Además ofrece acceso al  repositorio de preprints del IAC: https://research.iac.es/preprints/l

  • Con árbitro
    Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects
    In this paper we investigate how implementing machine learning could improve the efficiency of the search for Trans-Neptunian Objects (TNOs) within Dark Energy Survey (DES) data when used alongside orbit fitting. The discovery of multiple TNOs that appear to show a similarity in their orbital parameters has led to the suggestion that one or more
    Henghes, B. et al.

    Fecha de publicación:

    1
    2021
    Bibcode
    2021PASP..133a4501H
    Número de citas
    5
  • Con árbitro
    Low-mass low-metallicity AGB stars as an efficient i-process site explaining CEMP-rs stars
    Context. Among carbon-enhanced metal-poor (CEMP) stars, some are found to be enriched in slow-neutron capture (s-process) elements (and are then tagged CEMP-s), some have overabundances in rapid-neutron capture (r-process) elements (tagged CEMP-r), and some are characterized by both s- and r-process enrichments (tagged CEMP-rs). The current
    Karinkuzhi, D. et al.

    Fecha de publicación:

    1
    2021
    Bibcode
    2021A&A...645A..61K
    Número de citas
    51
  • Con árbitro
    LeMMINGs - II. The e-MERLIN legacy survey of nearby galaxies. The deepest radio view of the Palomar sample on parsec scale
    We present the second data release of high-resolution (≤0.2 arcsec) 1.5-GHz radio images of 177 nearby galaxies from the Palomar sample, observed with the e-MERLIN array, as part of the Legacy e-MERLIN Multi-band Imaging of Nearby Galaxies Sample (LeMMINGs) survey. Together with the 103 targets of the first LeMMINGs data release, this represents a
    Baldi, R. D. et al.

    Fecha de publicación:

    1
    2021
    Bibcode
    2021MNRAS.500.4749B
    Número de citas
    37