deletions | additions       diff --git a/subsubsection_Dendrograms_Dendrograms_are_hierarchical__.tex b/subsubsection_Dendrograms_Dendrograms_are_hierarchical__.tex  index dd54d87..b76cb0b 100644  --- a/subsubsection_Dendrograms_Dendrograms_are_hierarchical__.tex  +++ b/subsubsection_Dendrograms_Dendrograms_are_hierarchical__.tex 
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%We refer the reader to Rosolowskly et al. (2008) for a complete description of applying Dendrograms to molecular cloud structures.  K15 considers two dendrogram statistics: the number of features and the histogram of leaf intensities. To compute the number of features statistic, we generate multiple dendrograms per output by varying $\delta_{\rm min}$ from $10^{-2.5}$ K$-$10$^{0.5}$ K in 100 logarithmic steps. We then count the total number of features associated with each $\delta_{\rm min}$. Figure 12 displays this statistic for the two fiducial runs. Output W2T1t0.2 follows a pure power-law, while output T2t0 diviates from a power-law at $\delta_{\rm min}\sime$1 min}\sim$1  K. We find that the run with feedback contains a greater amount of structure than our purely turbulent run at all scales. {\bf RB(increasing past min delta creates a power law according to Burkhart et al. (2013), is this a counterexample?)}