A group of scientists led by the Leibniz Institute for Astrophysics Potsdam (AIP) and the Institute of Cosmos Sciences at the University of Barcelona (ICCUB) have used a novel machine learning model to process data for 217 million stars observed by the Gaia mission in an extremely efficient way. The results were published in the journal Astronomy & Astrophysics.

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Under the theme ‘Starlight Stories: A journey through time and space’, you can experience a fascinating journey through the universe on 19 October in the Great Refractor on the Telegrafenberg in Potsdam. Each guided tour lasts about an hour and, weather permitting, observations with the historic telescope are also possible. Prior registration is required: Registration form.

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Galaxies are fundamental cosmic building blocks. At the largest scales, they serve as markers to study the distribution of matter in the universe - active galaxies and quasars are particularly important because of their intrinsic brightness. Nearby objects can be spatially resolved and consist of populations with very different patterns of motion, star formation histories and chemical abundances.

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Cosmic events are determined by two natural forces: gravity and magnetic fields. The magnetic field research at the AIP is mainly focused on magnetohydrodynamic (MHD) simulations, the magnetically induced activities on the Sun and the stars, solar coronaphysics as well as space weather in our solar system and on planets around other stars.

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An international research team led by the Leibniz Institute for Astrophysics Potsdam (AIP) has developed a new method of imaging the universe and created a fascinating map of the cosmos based on analysing the motions of 56,000 galaxies. The work shows impressive cosmic structures and maps the large-scale interconnectedness of galaxy superclusters in our universe.

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