FellWalker is an algorithm in which paths are generated leading up to local peaks in the data \citep{Berry15}. All points visited on the way to the peak are counted as belonging to that peak, and if enough points contain paths leading to the same local peak, that agglomeration of pixels is counted as a core. Subsequently, there are a few issues that must be overcome to run a meaningful FellWalker extraction. First of all, the background must be subtracted, and Starlink provides the ``Findback" function which does exactly that \citep{Currie14}. Without a proper background subtraction, FellWalker would have difficulty picking out fainter sources buried in noisy regions. Next, parameter changes were applied to reduce the number of strange extractions. First of all, with a lower default noise cut, too many large, extended, filamentary structures were being detected. Raising the noise parameter, which sets the minimum value to start ``climbing" from, and reducing the maximum allowed jump value during a climb from four down to two removed most of these sources. This choice also and helped to eliminate some of the extent of cores along filaments which should not be attributed to the core alone. The latter parameter was useful in further removing long sources defined by an array of warmer pixels within the \texttt{MaxJump} radius (in pixels) of each other, often along filamentary structure. Table \ref{T1} lists all changes from default values.