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
    Unveiling optical signatures of outflows in accreting white dwarfs
    Accreting white dwarfs are known to show signatures of wind-type outflows in the ultraviolet. However, at optical wavelengths, wind detections have only been reported for a few sources. We present GTC-10.4 m optical spectroscopy of four accreting white dwarfs (BZ Cam, V751 Cyg, MV Lyr, and V425 Cas) observed during luminous epochs, when their
    Cúneo, V. A. et al.

    Fecha de publicación:

    11
    2023
    Bibcode
    2023A&A...679A..85C
    Número de citas
    2
  • Con árbitro
    3D correlations in the Lyman-α forest from early DESI data
    We present the first measurements of Lyman-α (Lyα) forest correlations using early data from the Dark Energy Spectroscopic Instrument (DESI). We measure the auto-correlation of Lyα absorption using 88 509 quasars at z > 2, and its cross-correlation with quasars using a further 147 899 tracer quasars at z ≳ 1.77. Then, we fit these correlations
    Gordon, C. et al.

    Fecha de publicación:

    11
    2023
    Bibcode
    2023JCAP...11..045G
    Número de citas
    13
  • Errata
    Author Correction: A super-massive Neptune-sized planet
    Naponiello, Luca et al.

    Fecha de publicación:

    11
    2023
    Bibcode
    2023Natur.623E...6N
    Número de citas
    1
  • Con árbitro
    CHEX-MATE: A non-parametric deep learning technique to deproject and deconvolve galaxy cluster X-ray temperature profiles
    Temperature profiles of the hot galaxy cluster intracluster medium (ICM) have a complex non-linear structure that traditional parametric modelling may fail to fully approximate. For this study, we made use of neural networks, for the first time, to construct a data-driven non-parametric model of ICM temperature profiles. A new deconvolution
    Iqbal, A. et al.

    Fecha de publicación:

    11
    2023
    Bibcode
    2023A&A...679A..51I
    Número de citas
    3
  • Con árbitro
    Comparative Analysis of Image-shift Measurement Algorithms for Solar Shack-Hartmann Wavefront Sensors
    Observations of the Sun provide unique insights into its structure, evolution, and activity, with significant implications for space weather forecasting and solar energy technologies. Ground-based telescopes offer cost-effective and flexible solutions for high-resolution solar observations, but image quality can be affected by atmospheric
    Wei, Xiya et al.

    Fecha de publicación:

    11
    2023
    Bibcode
    2023PASP..135k4503W
    Número de citas
    2