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The amount and complexity of data delivered by modern galaxy surveys has been steadily increasing over the past years. New facilities will soon provide imaging and spectra of hundreds of millions of galaxies. Extracting coherent scientific information from these large and multi-modal data sets remains an open issue for the community and data-driven approaches such as deep learning have rapidly emerged as a potentially powerful solution to some long lasting challenges. This enthusiasm is reflected in an unprecedented exponential growth of publications using neural networks, which have goneAdvertised on
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An international team of astronomers, in which researchers from the Instituto de Astrofísica de Canarias are taking part, share the intricate and delicate beauty of the classical nebula Messier 87, showing unprecedented detail, which gives a fascinating view of this celestial wonder.Advertised on
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After comparative studies of a sample of almost 50 open stellar clusters of different ages in the Milky Way, research led by the Instituto de Astrofísica de Canarias (IAC) and the University of La Laguna (ULL) with collaboration by the Polytechnic University of Cartagena, shows that when these star clusters age they lose the majority of their less massive members. This result confirms that there are internal dynamical processes in open clusters caused by their long journeys through the Galaxy, which bring about the expulsion of these low mass stars. The study, published in the journalAdvertised on