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Six Dimensional Streaming Algorithm for Cluster Finding in N-Body Simulations
[article]
2019
arXiv
pre-print
Cosmological N-body simulations are crucial for understanding how the Universe evolves. Studying large-scale distributions of matter in these simulations and comparing them to observations usually involves detecting dense clusters of particles called "halos," which are gravitationally bound and expected to form galaxies. However, traditional cluster finders are computationally expensive and use massive amounts of memory. Recent work by Liu et al (Liu et al. (2015)) showed the connection between
arXiv:1912.11432v1
fatcat:7vwprregujfcbdllqzvgedwgsa