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A successful large-scale simulation of the evolution of galaxies, with results consistent with what is actually seen by astronomers in the night sky, provides evidence that the theoretical underpinnings of the models employed, i.e., the supercomputer implementations ΛCDM, are sound bases for understanding galactic dynamics and the history of the universe, and opens avenues to further research.
This List of Cosmological Computation Software catalogs the tools and programs used by scientists in cosmological research.. In the past few decades, the accelerating technological evolution has profoundly enhanced astronomical instrumentation, enabling more precise observations and expanding the breadth and depth of data collection by several orders of magnitude.
In cosmology, galaxy filaments are the largest known structures in the universe, consisting of walls of galactic superclusters.These massive, thread-like formations can commonly reach 50 to 80 megaparsecs (160 to 260 megalight-years)—with the largest found to date being the Hercules-Corona Borealis Great Wall at around 3 gigaparsecs (9.8 Gly) in length—and form the boundaries between voids ...
on YouTube - Illustris-Project (6 May 2014). on YouTube - NASA (14 July 2014) "Galaxy simulations are at last matching reality—and producing surprising insights into cosmic evolution". Science. - article containing a comparison table of different simulation projects
The Millennium Simulation was run in 2005 by the Virgo Consortium, an international group of astrophysicists from Germany, the United Kingdom, Canada, Japan and the United States. It starts at the epoch when the Cosmic microwave background was emitted, about 379,000 years after the universe began.
Physics Abstraction Layer - an open-source physics simulation package. Project Chrono - an open-source multi-physics simulation framework. Repast - agent-based modeling and simulation platform with versions for individual workstations and high performance computer clusters. SageMath - a system for algebra and geometry experimentation via Python.
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