  This work contains the details and results of my master's project on testing
the IMAGINE pipeline for Galactic magnetic field estimation. The project was
carried out from early 2016 to early 2017. For it, an unpublished early
development version of the IMAGINE pipeline was tested and debugged. The thesis
reports about the kind of difficulties faced when dealing with high dimensional
complex parametric Galactic magnetic field models. It was found that such
models require extra caution to allow for dependencies between parameters and
model implementation errors, which need to be taken into account when
performing a Bayesian analysis. These findings, reported here in this thesis,
helped to resolve such issues in the later, now published version of the
IMAGINE pipeline. The thesis therefore documents the genesis of the pipeline
and lessons learned during this process. This document contains original text
of the master thesis for reference. Parts of its content therefore do not
reflect the current state of the IMAGINE pipeline.
