Ryan Boyden edited subsubsection_Spectral_Correlation_Function_Yeremi__.tex  over 8 years ago

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\subsubsection{Spectral Correlation Function}  Yeremi et al. (2014) 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 with themselves using an array projected separations from a magnitude 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 SCFs of run W1T2t0.2 are smaller in value than the SCFs of run W2T2t0. Yet, both runs also exhibit a similar rate of change in SCF value with increasing offset.