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

  • NLTE modelling of water-rich exoplanet atmospheres. Cooling and heating rates

    The hydrogen and water molecules respond very differently to the collisional-radiative processes taking place in planetary atmospheres. Naturally, the question arises whether H 2O-rich atmospheres are more (or less) resilient to long-term mass loss than H 2-dominated ones if they radiate away the incident stellar energy more (or less) efficiently

    García Muñoz, A. et al.

    Fecha de publicación:

    6
    2024
    Número de citas
    0
  • The Milky Way bar pattern speed using Hercules and Gaia DR3

    The distribution of moving groups in the solar neighbourhood has been used to constrain dynamical properties of the Milky Way for decades. The kinematic bimodality between the main mode (Hyades, Pleiades, Coma Berenices, and Sirius) and Hercules can be explained by two different bar models - via the outer Lindblad resonance of a bar with a high

    Lucchini, Scott et al.

    Fecha de publicación:

    6
    2024
    Número de citas
    0
  • GALAXY FORMATION WITH GPU-ACCELERATED COMPUTING

    Esta tesis doctoral está dedicada al estudio de la formación y evolución de galaxias en un contexto cosmológico, aprovechando la potencia de la computación de alto rendimiento con un énfasis particular en la computación acelerada por tarjetas gráficas (GPU). Para avanzar en el campo, la tesis se enfoca en ampliar las capacidades del código público

    Isaac Alonso Asensio

    Fecha de publicación:

    11
    2023
  • UNCOVERING THE PHYSICS OF GALAXIES WITH SELF-SUPERVISED DEEP LEARNING

    As surveys grow, the challenge is how to explore and interpret the increasing quantity of data. For this, removing the observational biases and reducing the dimensionality of the data are fundamental. A promising avenue to do this is a self-supervised deep learning algorithm called contrastive learning. Contrastive learning is especially effective

    Regina Sarmiento

    Fecha de publicación:

    12
    2023
  • Fractional loop delays in adaptive optics modeling and control

    This paper revisits the problem of optimal (minimum variance) control for adaptive optics (AO) systems when measurement and command applications are asynchronous, resulting in a non-integer servo loop delay. When not properly accounted for, such fractional delays may severely degrade the AO performance, especially in the presence of high-frequency

    Marquis, Lucas et al.

    Fecha de publicación:

    1
    2024
    Número de citas
    0
  • Feeding and feedback processes in the Spiderweb proto-intracluster medium

    Context. We present a detailed analysis of the thermal, diffuse emission of the proto-intracluster medium (proto-ICM) detected in the halo of the Spiderweb Galaxy at z = 2.16, within a radius of ∼150 kpc. Aims: Our main goal is to derive the thermodynamic profiles of the proto-ICM, establish the potential presence of a cool core and constrain the

    Lepore, M. et al.

    Fecha de publicación:

    2
    2024
    Número de citas
    1