Discipline: 
Physics
Status: 
Available
Level: 
PhD Project
Level: 
Masters Project
Level: 
Honours Project
Level: 
Summer Project
Supervisor(s): 
Dr. Ed Macaulay

Although there are many surprising aspects of our current model of the Universe, much of the confidence in the model comes from many independent observational methods which all point to the same picture.  As such, one of the essential tools in cosmology is the ability to easily combine different datasets to estimate cosmological parameters.  CosmoMC is a widely used software package for this purpose, which uses Markov Chain Monte Carlo (MCMC) for parameter estimation.  

The aim of this project is to create a new module for CosmoMC to include data from peculiar velocity surveys.  Peculiar velocities are a unique cosmological observable, able to directly probe very large scale matter fluctuations.  Although the size and quality of peculiar velocity surveys has increased dramatically in recent years, the impact of the surveys has been limited by the lack of an easy way to  use peculiar velocity results for parameter estimation.  The project will involve learning how to use CosmoMC, and understanding the MCMC techniques involved.  With the new module, we should be able to infer new constraints on cosmological parameters from peculiar velocity surveys.