Constraining dark energy and inflation: Parameter estimation with CMB and supernovae

Details Constraining dark energy and inflation: Parameter estimation with CMB and supernovae Constraining dark energy and inflation: Parameter estimation with CMB and supernovae

Aug 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007phdt........22d&link_type=abstract

Proquest Dissertations And Theses 2007. Section 0029, Part 0606 69 pages; [Ph.D. dissertation].United States -- California: Uni

Physics

Cosmology, Supernova, Monte Carlo, Power Spectrum, Cmb, Inflation, Dark Energy

Scientific paper

In this dissertation I describe three separate research projects, each of which revolves around a central theme: using Monte Carlo simulations to better understand what the data tell us about certain properties of the universe. The first project involves the development of a novel parameterization of dark energy designed to answer the question as to whether or not dark energy is a constant in a theory-independent manner. The second project is a re-analysis of the 3-year WMAP data using a Blackwell-Rao estimator with Gibbs sampling. The third project consists of simulations of the first year of data from the South Pole Telescope as it relates to constraining the CMB temperature anisotropies.

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