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The FLAMINGO project: From High-performance computing to simulating the whole Universe Analytics Table
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About The FLAMINGO project: From High-performance computing to simulating the whole Universe
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Matthieu Schaller, Lorenz Institute, Leiden Observatory https://home.strw.leidenuniv.nl/~schaller/ Slides and summary: https://sites.google.com/modelingtalks.org/entry/flamingo-from-hpc-to-simulating-the-whole-universe Join group for talk announcements: https://groups.google.com/a/modelingtalks.org/g/talks Abstract: The interpretation of data coming from cosmology surveys (such as the recently launched Euclid satellite) rely on comparison with accurate theoretical models including all the known relevant physical phenomena. The precision reached by modern instruments make this a extremely challenging task for numerical physicists who have to make use of some of the largest HPC facilities to run their calculations. In this talk, I will talk about the recently completed FLAMINGO project, a virtual twin to our own universe. This suite of simulations contains, among other runs, the largest cosmological calculation ever performed. I will introduce the key physics and cosmology question as well as cover some of the technical computational challenges and the solutions we implemented in the SWIFT cosmology code to overcome them. Bio: Mattieu Schaller is an assistant professor in numerical cosmology at the Lorentz Institute for theoretical physics and Leiden Observatory, where he works on the development and analysis of cosmological simulations. His research focuses the development of numerical simulation tools for cosmology and astrophysics, mainly on the SWIFT code and associated packages, as well as the preparation, running, and analysis of galaxy formation and cosmology simulations, such as the state-of-the-art EAGLE, SIBELIUS, FLAMINGO, and COLIBRE projects, which have been used in 100s of subsequent research studies around the world. The research in his group encompasses the low-level technical challenges of high-performance computing, the development of accurate numerical methods, and the construction of tools to interpret the simulated results and confront them to the observed Universe.
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