A Research Report submitted to the Department of Physics, Faculty of Science, University
of the Witwatersrand, Johannesburg, in partial ful lment of the requirements for the degree
of Master of Science.
Signed on the 24th March 2016 in Johannesburg. / This research report uses cosmological N-body simulations to examine the the large
scale mass distribution of the Universe, known as the cosmic web. The cosmic web can be
classi ed into nodes, laments, sheets and voids - each with its own characteristic density
and velocity elds. In this work, the author proposes a new Lagrangian cosmic web classi-
cation algorithm, based on smoothed particle hydrodynamics. This scheme o ers adaptive
resolution, resolves smaller substructure and obeys similar statistical properties with existing
Eulerian methods. Using the new classi cation scheme, halo clustering dependence on cosmic
web type is examined. The author nds halo clustering is signi cantly correlated with
web type. Consequently, the mass dependence of halo clustering may be explained by the
fractions of web types found for a particular halo mass. Finally, an analysis of dark matter
halo spin, shape and fractional anisotropy is presented per web type to suggest avenues for
future work.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:wits/oai:wiredspace.wits.ac.za:10539/21032 |
| Date | January 2016 |
| Creators | Fisher, Justin David |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | Online resource (65 pages), application/pdf |
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