deletions | additions       diff --git a/subsubsection_Higher_Order_Statistical_Moments__.tex b/subsubsection_Higher_Order_Statistical_Moments__.tex  index 541ccb0..63be7c9 100644  --- a/subsubsection_Higher_Order_Statistical_Moments__.tex  +++ b/subsubsection_Higher_Order_Statistical_Moments__.tex 
...
We follow the analysis of Koch et al. (2015) to compute PDFs of kurtosis and skewness. For all positions in an integrated intensity map, we compute each higher-order moment within a small, confined circular region. Similar to Koch et al. (2015), we choose a circular radius of 5 pixels. The kurtosis and skewness PDFs are histograms of the moment arrays (integrated intensity maps), and are shown in Figure 2.   Our Kurtosis PDFs exhibit similar behavior. They behavior: they  are each centered at zero, and sharply decrease with increasing kurtosis magnitude. Run W2T2t0's distribution "falls off" at a faster rate than that of run W1T2t0.2. The Skewness PDFs have similar shapes, but run W1T2t0.2's distribution is centered around a positive skewness, while run W2T2t0's distribution is centered around zero. Thus, run W1T2t0.2 appears to diverge from Gaussian behaviors observed in run W2T2t0.