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A large supercomputer has been used by University of Zurich, Switzerland, researchers to simulate the formation of our entire Universe and to generate a gigantic catalogue of about 25 billion virtual galaxies from 2 trillion digital particles.
This catalogue is being used to calibrate experiments on board the Euclid satellite, which will be launched in 2020 with the objective of investigating the nature of dark matter and dark energy. The satellite will produce a tomographic map of our Universe, tracing back in time more than 10 billion years of evolution in the cosmos.
Astrophysicists developed and optimized a new code to accurately describe the dynamics of dark matter and the formation of large-scale structures in the Universe. The PKDGRAV3 code is designed to use optimally the available memory and processing power of modern supercomputing architectures, such as the "Piz Daint" supercomputer of the Swiss National Computing Center. The code was executed on this machine for only 80 hours, and generated a virtual universe of two trillion (i.e., two thousand billion or 2 x 1012) macro-particles representing the dark matter fluid, from which the catalogue of 25 billion virtual galaxies was extracted.
Thanks to the high precision of their calculation, featuring a dark matter fluid evolving under its own gravity, the researchers have simulated the formation of a small concentration of matter, called dark matter halos, in which galaxies like the Milky Way are believed to form. The challenge of this simulation was to model galaxies as small as one tenth of the Milky Way, in a volume as large as our entire observable Universe.
About 95% of the Universe is dark: about 23% of the cosmos consists of dark matter and 72% of dark energy. When the Euclid satellite captures the light of billions of galaxies in large areas of the sky, astronomers will measure very subtle distortions that arise from the deflection of light of these background galaxies by a foreground, invisible distribution of mass – dark matter.
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