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

  • Properties of the Hyades, the eclipsing binary HD 27130, and the oscillating red giant ∊ Tauri
    Context. The derivation of accurate and precise masses and radii is possible for eclipsing binary stars, allowing for insights into their evolution. When residing in star clusters, they provide measurements of even greater precision, along with additional information on their properties. Asteroseismic investigations of solar-like oscillations
    Brogaard, K. et al.

    Fecha de publicación:

    1
    2021
    Número de citas
    9
  • Properties of Iron Primary Cosmic Rays: Results from the Alpha Magnetic Spectrometer
    We report the observation of new properties of primary iron (Fe) cosmic rays in the rigidity range 2.65 GV to 3.0 TV with 0.62 ×10 6 iron nuclei collected by the Alpha Magnetic Spectrometer experiment on the International Space Station. Above 80.5 GV the rigidity dependence of the cosmic ray Fe flux is identical to the rigidity dependence of the
    Aguilar, M. et al.

    Fecha de publicación:

    1
    2021
    Número de citas
    70
  • Processing GOTO data with the Rubin Observatory LSST Science Pipelines I: Production of coadded frames
    The past few decades have seen the burgeoning of wide-field, high-cadence surveys, the most formidable of which will be the Legacy Survey of Space and Time (LSST) to be conducted by the Vera C. Rubin Observatory. So new is the field of systematic time-domain survey astronomy; however, that major scientific insights will continue to be obtained
    Mullaney, J. R. et al.

    Fecha de publicación:

    1
    2021
    Número de citas
    5
  • Outlier detection of galaxy classification with machine learning
    When studying the classification of galaxies with unsupervised machine learning using the physical information available in data such as the SDSS MaNGA integral field spectroscopic survey, outliers appear in the results. These may result from non-physical issues or confusions in the software, but may also constitute a potent tool to find 'strange'
    Santamaria Dieguez, C.

    Fecha de publicación:

    1
    2021
    Número de citas
    0
  • Optimising and comparing source-extraction tools using objective segmentation quality criteria
    Context. With the growth of the scale, depth, and resolution of astronomical imaging surveys, there is increased need for highly accurate automated detection and extraction of astronomical sources from images. This also means there is a need for objective quality criteria, and automated methods to optimise parameter settings for these software
    Haigh, Caroline et al.

    Fecha de publicación:

    1
    2021
    Número de citas
    28
  • New Observations with Gemini and GTC of the VHE Blazar KUV 00311-1938: About Its Redshift and Environment
    Extragalactic very-high-energy (VHE; E > 100 GeV) sources are unique objects to study the most powerful particle accelerators in nature, as active galactic nuclei are likely sources of ultra-high-energy cosmic rays. BL Lacertae blazars are the most frequent extragalactic objects found in the VHE gamma-ray catalogs. It is very difficult to estimate
    Pichel, A. et al.

    Fecha de publicación:

    1
    2021
    Número de citas
    2