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in this video weamp;#39;re going to look at how to construct line shapes based on data envelopes and the idea is that a line shape from these data can then be included as part of a nonlinear least squares fitting and if we have samples as in this case where we have a set of 11 samples there are different proportions of - ionic liquids that are chemically different and therefore the carbon 1s envelope will be different between both of these in such a way that when we use them as part of a fit we can then work out the different proportions of these mixtures of the two basic ionic liquids spectra measured from these samples are added to the same vermis file so that each row represents a new measurement from a new sample and these include a carbon 1s and also a nitrogen 1s and both of these would represent signature for their different materials so this is the carbon 1s and we can see that fluorine bonded carbon has produced an isolated peak and this is useful because we can see at a glan