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

  • μ<SUB>⋆</SUB> masses: weak-lensing calibration of the Dark Energy Survey Year 1 redMaPPer clusters using stellar masses
    We present the weak-lensing mass calibration of the stellar-mass-based μ ⋆ mass proxy for redMaPPer galaxy clusters in the Dark Energy Survey Year 1. For the first time, we are able to perform a calibration of μ ⋆ at high redshifts, z > 0.33. In a blinded analysis, we use ∼6000 clusters split into 12 subsets spanning the ranges 0.1 ≤ z < 0.65 and μ
    Pereira, M. E. S. et al.

    Fecha de publicación:

    9
    2020
    Número de citas
    11
  • A precise architecture characterization of the π Mensae planetary system★
    Context. The bright star π Men was chosen as the first target for a radial velocity follow-up to test the performance of ESPRESSO, the new high-resolution spectrograph at the European Southern Observatory's Very Large Telescope. The star hosts a multi-planet system (a transiting 4 M ⊕ planet at ~0.07 au and a sub-stellar companion on a ~2100-day
    Damasso, M. et al.

    Fecha de publicación:

    10
    2020
    Número de citas
    49
  • Exploring the Stellar Age Distribution of the Milky Way Bulge Using APOGEE
    We present stellar age distributions of the Milky Way bulge region using ages for ∼6000 high-luminosity ( $\mathrm{log}(g)\lt 2.0$ ), metal-rich ([Fe/H] ≥ -0.5) bulge stars observed by the Apache Point Observatory Galactic Evolution Experiment. Ages are derived using The Cannon label-transfer method, trained on a sample of nearby luminous giants
    Hasselquist, Sten et al.

    Fecha de publicación:

    10
    2020
    Número de citas
    39
  • The CARMENES search for exoplanets around M dwarfs. A deep learning approach to determine fundamental parameters of target stars
    Existing and upcoming instrumentation is collecting large amounts of astrophysical data, which require efficient and fast analysis techniques. We present a deep neural network architecture to analyze high-resolution stellar spectra and predict stellar parameters such as effective temperature, surface gravity, metallicity, and rotational velocity
    Passegger, V. M. et al.

    Fecha de publicación:

    10
    2020
    Número de citas
    24
  • The Polarimetric and Helioseismic Imager on Solar Orbiter
    Aims: This paper describes the Polarimetric and Helioseismic Imager on the Solar Orbiter mission (SO/PHI), the first magnetograph and helioseismology instrument to observe the Sun from outside the Sun-Earth line. It is the key instrument meant to address the top-level science question: How does the solar dynamo work and drive connections between
    Solanki, S. K. et al.

    Fecha de publicación:

    10
    2020
    Número de citas
    136