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  • Vera C. Rubin Observatory's first light images of the Trifid and Lagoon nebulas. This image combines 678 separate images taken by NSF-DOE Vera C. Rubin Observatory in just over seven hours of observing time
    Press release
    The Rubin Observatory begins its exploration of the sky with the support of the IAC and Grantecan
    The Vera C. Rubin Observatory, located in Chile, today released its first images of the universe, known in astronomy as an instrument's “first light”. This event marks the beginning of a project that will revolutionise our understanding of the universe over the next decade. Jointly funded by the US National Science Foundation (NSF) and the US Department of Energy (DOE), the Instituto de Astrofísica de Canarias (IAC) is participating, as part of a consortium of Spanish institutions, in its scientific exploitation and contributing observation time from the Gran Telescopio Canarias (GTC or
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  • savita_sph_ro_galeria
    Research news
    Evolution of stellar magnetic activity: the Sun has similar magnetic activity as its pairs
    It’s been decades since the need to study other stars to understand the past, present and future of the Sun was realized. One important aspect that has been investigated is the magnetic activity of stars for which we cannot fully grasp the mechanisms involved. Indeed, the origin of stellar magnetic cycles or the dependence of the magnetic activity on the stellar properties are not completely understood. This knowledge improves not only our understanding of the physics involved in stellar evolution but also affects the study of the Sun to better predict high-energy events and the better
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  • light bridges
    Research news
    Dissecting light bridges: the stratification of their physical properties in geometric height
    Light bridges are elongated and bright structures protruding into the umbra of sunspots. The presence of light bridges has a significant role in the evolution of sunspots and the heating of their overlying atmosphere. Therefore, investigating these structures is crucial to understanding fundamental aspects of sunspots. By applying a novel code based on deep-learning algorithms called SICON to spectropolarimetric observations acquired with the Hinode satellite, we computed atmospheric parameters that allowed us to infer the variation of the physical properties of light bridges on a geometric
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