|M.Sc Student||Aviram Rosochotsky|
|Subject||Generating Synthetic Sky Maps in the Far-Infraed to Test|
Diffuse Component Seperation Methods
|Department||Department of Physics||Supervisor||Dr. Desjacques Vincent|
|Full Thesis text|
The cosmic infrared background radiation is the accumulated emission of thermal dust radiation by many distant and unresolved galaxies. This thermal radiation is the re-emission of radiation that is generated by star formation and absorbed by dust clouds inhabiting galaxies. The distribution of these galaxies in space is a sensitive probe of some fundamental cosmological parameters which are therefore encoded in the variation of this background radiation. These parameters pertain to the nature of the primordial fluctuations that had in later times evolved into the present day large scale structure of the universe. This theoretical interest gives rise to need to measure this background radiation and separate it from contaminations emanating from local sources. In my thesis I describe the application of some algorithms generating synthetic maps with specific features that can be used to test and evaluate pipelines separating out the CIBR component of sky surveys. The first algorithm I present generates maps of the infra-red component in different frequencies that are cross-correlated; the second algorithm is one that calculates the bispectrum of the infrared component based on rudimentary galaxy bispectrum and the third algorithm demonstrates the realization of an algorithm that generates maps with a prescribed bispectrum.