Statistics
Scientific paper
Dec 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010phdt........76m&link_type=abstract
ProQuest Dissertations And Theses; Thesis (Ph.D.)--Harvard University, 2010.; Publication Number: AAT3414866; ISBN: 978112408689
Statistics
Scientific paper
While the structure of the Universe can typically be studied only by observing the light from luminous galaxies, the distribution of the galaxies themselves is ultimately a product of the formation of the dark matter halos that host them. This thesis explores the relationship between galaxies and the hierarchical growth of the cosmic web. Employing analytic and numerical techniques, we investigate the effects of the structure formation on observations of galaxies and use galaxy observations to constrain the underlying theoretical models. On large scales, the Lagrangian-based excursion-set formalism calculates the statistics of halos in a given survey volume, with any Eulerian evolution away from the Hubble flow described by the spherical collapse model. However, we also rely on high-resolution N-body simulations of dark matter to treat the nonlinear behavior on small-scales. We consider how the clustering of massive halos and the rapid evolution of their abundance with redshift informs the interpretation of high-redshift galaxy surveys with the Hubble Space Telescope. We further calculate the density and dynamics of the Shapley Supercluster from X-ray observations of galaxy clusters, primarily from the ROSAT satellite, and place constraints on reionization and the formation of first stars using Sloan Digital Sky Survey data from relics of the early Universe orbiting the Milky Way.
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