Stella Offner edited subsubsection_Spectral_Correlation_Function_Yeremi__.tex  over 8 years ago

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\subsubsection{Spectral Correlation Function}  Yeremi et al. (2014) \citet{yeremi14}  defines the Spectral Correlation Function (SCF) as the normalized root-mean-square difference between two spectra as a function of their projected separation. We calculate multiple SCFs of runs W1T2t0.2 and W2T2t0 using an array projected separations ranging from (magnitudes?) of 0'' to 113" (Eric, I kept your input of "size" 11, which is the projected pixel separation. Correct me if my interpretation is wrong.). Figure 4 depicts the SCFs of our two runs. With the exception of zero spatial offset, the SCF outputs (not sure what to call the output) of run W1T2t0.2 are smaller in value than the SCF outputs of run W2T2t0 are. Yet, both runs also exhibit a similar rate of change in SCF value with increasing offset.