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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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The Euclid Consortium announces the publication of its first papers, demonstrating the space mission's ability to search for wandering planets, study the dark matter of galaxies and explore the evolution of the Universe. Five new images with unprecedented resolution are also published. Spain plays an important role in the Euclid mission where, in addition to being part of the consortium that has led the mission since its inception, it has also participated in the instrumental development of the project and contributes significantly to its scientific exploitation. The Instituto de AstrofísicaAdvertised on
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An international team of scientists, with participation by researchers at the Instituto de Astrofísica de Canarias (IAC), has discovered a very large, but thin, stream of stars in the Coma cluster of galaxies. This is the largest stream of stars detected until now, and the first to be found in a cluster of galaxies. This finding, which is published in the journal Astronomy and Astrophysics, was made using observations taken with the William Herschel Telescope (WHT) at the Roque de los Muchachos Observatory (Garafía, La Palma, Canary Islands). The Coma Cluster is a large cluster of galaxiesAdvertised on