Statistical Analysis of the Cosmic Microwave Background: Power Spectra and Foregrounds

Finally, I examine the effect of Galactic foreground contamination on CMB experiments and describe the principle foregrounds. I show that it is possible to include the foreground components in a self-consistent fashion within the statistical framework of MAGIC and give explicit examples of how this might be achieved. Foreground contamination will become an increasingly important issue in CMB data analysis and the ability of this new algorithm to produce an exact power spectrum in a computationally feasible time, coupled with the foreground component separation and removal is an exciting development in CMB data analysis. When considered with current algorithmic developments such as the ability to include asymmetric beam shapes and deal with polarized data, the future of the Gibbs sampling approach shows great promise.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Astronomy

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• O'Dwyer, Ian J.

Contributors dc:contributor

• Wandelt, Benjamin D.

• Physics, Astronomy and Astrophysics

Language dc:language

eng

Identifier

(MiAaPQ)AAI3199102

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/85177