Publications

This section contains the publications database that collects IAC articles published in scientific journals. Please, click on the arrow to see full search filter and sort options: author, journal, year, etc..

It also provides access to IAC Preprints Repository here: https://research.iac.es/preprints/

  • Erratum: A physically motivated definition for the size of galaxies in an era of ultra-deep imaging
    Trujillo, Ignacio et al.

    Advertised on:

    6
    2020
    Citations
    2
  • Disentangling the formation history of galaxies via population-orbit superposition: method validation
    We present population-orbit superposition models for external galaxies based on Schwarzschild's orbit-superposition method, by tagging the orbits with age and metallicity. The models fit the density distributions, kinematic, and age and metallicity maps from integral field unit (IFU) spectroscopy observations. We validate the method and demonstrate
    Zhu, Ling et al.

    Advertised on:

    6
    2020
    Citations
    40
  • Discovery of a Giant Planet Candidate Transiting a White Dwarf
    We report the discovery of a giant planet candidate transiting a white dwarf star. The planet candidate orbits its host star every 1.4 days, is about the size of Jupiter, and has a mass less than about 14 M Jup. The planet candidate orbits close enough to the white dwarf that it must have formed farther out to avoid destruction when the host star
    Vanderburg, A. et al.

    Advertised on:

    6
    2020
    Citations
    0
  • Detection of Fe I and Fe II in the atmosphere of MASCARA-2b using a cross-correlation method
    Ultra-hot Jupiters are gas giants planets whose dayside temperature is greater than 2200 K as a consequence of the strong irradiation received from the host star. These kinds of objects are perfect laboratories to study the chemistry of exoplanetary upper atmospheres via transmission spectroscopy. Exo-atmospheric absorption features are buried in
    Stangret, M. et al.

    Advertised on:

    6
    2020
    Citations
    64
  • Detecting outliers in astronomical images with deep generative networks
    With the advent of future big-data surveys, automated tools for unsupervised discovery are becoming ever more necessary. In this work, we explore the ability of deep generative networks for detecting outliers in astronomical imaging data sets. The main advantage of such generative models is that they are able to learn complex representations
    Margalef-Bentabol, Berta et al.

    Advertised on:

    6
    2020
    Citations
    41
  • Constraining the inner density slope of massive galaxy clusters
    We determine the inner density profiles of massive galaxy clusters (M 200 > 5 × 10 14 M ☉) in the Cluster-EAGLE (C-EAGLE) hydrodynamic simulations, and investigate whether the dark matter density profiles can be correctly estimated from a combination of mock stellar kinematical and gravitational lensing data. From fitting mock stellar kinematics
    He, Qiuhan et al.

    Advertised on:

    6
    2020
    Citations
    26