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these data are from fight or diamond samples and what we were counted be parameters for these og spectra and is to say we want to differentiate these data and then work out the separation of the maximum to the minimum for these these Peaks so if we just do a differentiation using a sit-ski goalie then we end up with a lot of noise but the idea is to work out this type of distance here so weamp;#39;re looking at 22 for this graphite sample but we can do better than using the differentiation using Savitsky goalie if rather than using a polynomial of degree 2 to approximate the data when we try and work out the derivative we can create a background type which will use a polynomial of a higher degree so itamp;#39;s the polynomial regression type it uses the cross-section parameters at least it uses the first one to provide a degree for the polynomial that will be used to fit the data and you can see how well this polynomial is fitting the data by looking at the residual and if I restrict
