Winter Schools: Press Room 2011

It may interest you

  • Comparison between an observed galaxy (right) and a simulated galaxy (left) showing similarities in mass and size.
    Press release
    IAC researchers develop accurate method to measure dark matter haloes using galaxy sizes
    A new study published in Astronomy & Astrophysics unveils a powerful way to determine the size of dark matter haloes—the massive, invisible structures that host galaxies—by simply measuring how large galaxies appear in deep astronomical images. Researchers Ignacio Trujillo and Claudio Dalla Vecchia, from the Instituto de Astrofísica de Canarias (IAC) and the Universidad de La Laguna (ULL), demonstrate that galaxy size can serve as a precise proxy for halo size, offering measurements up to six times more accurate than previous methods. Using the cutting-edge EAGLE cosmological simulations
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  • Cartel del Premio Cosmos
    Press release
    El IAC impulsa la cultura científica entre la juventud canaria con el lanzamiento del Premio Cosmos
    El Instituto de Astrofísica de Canarias (IAC) organiza el Premio Cosmos, un proyecto educativo internacional que llega por primera vez a España desde Canarias, con la colaboración del Área STEAM de la Consejería de Educación, Formación Profesional, Actividad Física y Deportes, y el patrocinio de la Fundación CajaCanarias, así como el apoyo de la Real Academia de las Ciencias de Canarias. Con varias ediciones consolidadas en Italia, Francia y Países Bajos, el Premio Cosmos tiene como misión impulsar la cultura científica, despertar vocaciones y celebrar la mejor literatura de divulgación en
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  • Artistic representation of the Cosmic Brain project, which adapts cosmological analysis techniques to neuroimaging
    Press release
    From studying the universe to neuroimaging: a cosmology technique allows us to “listen” to the structure of the human brain
    A multidisciplinary team of astrophysicists, neuroscientists, engineers, and musicians has unveiled a pioneering method to “listen” to the structure of the human brain. Published in Nature Scientific Reports , the study presents the first higher-order sonification applied to structural magnetic resonance imaging (MRI) data. This technique involves transforming three-dimensional information about the brain into sound, taking into account the spatial relationships and complex structure of the data. To do this, mathematical tools originally developed to study the large-scale structure of the
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