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Calculate the W11 empirically over the observed data where the model is > than, say 1e-6
Calculate the typical root-mean-squared error in a spectrum using np.nanstd or np.std ignoring negative values or the median absolute deviation code here. This gives the RMS in a channel which propagates to W11 empirical.
Store output data in an astropy Table.
Identify bad fits based differences between W11_theory and W11_empirical.
We'd like to calculate the integrated intensity of W11, W22 and W33 for the model
np.sum(ModelSpectrum) * size_of_channel
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