deletions | additions       diff --git a/section_Stastical_Comparisons_label_comparisons__.tex b/section_Stastical_Comparisons_label_comparisons__.tex  index 8a22964..16ca7c7 100644  --- a/section_Stastical_Comparisons_label_comparisons__.tex  +++ b/section_Stastical_Comparisons_label_comparisons__.tex 
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(The Principal Component Analysis (PCA) is one of the most sensitive statistics in our fiducial comparison.) We present our runs' velocity channel covariance matrices in Figure ???. After launching winds, the covariances for velocity channels between -2 and 2 km/s (the channels of strongest intensity???) increase in a particular behavior: features at the center of run W2T2t0's covariance matrix are augmented and further separated (as shown in run W1T2t0.2' covariance matrix). Covariances outlining the features also increase.   We argue that the observed difference implies a change in gas temperature distribution (may need eigenvalues to first suggest a  change in principal components, so this isn't a jump, assuming my argument). \subsection{Spectral Correlation Function}  \subsection{Fourier Statistics}  VCA/VCS, delta variance, MVC, SPS/Bicoherence