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in this video weamp;#39;re going to look at why survey data are so important when quantifying it by XPS these are two samples both of which have oxygen carbon and aluminium and the peak intensity with suggest that we have different proportions of oxygen and aluminium in these samples however to properly understand the quantification tables that are generated from data such as these we also need to consider these background structures and the way these Peaks are formed to make sure that weamp;#39;re making the correct interpretation of the intensities when presented as atomic concentrations to illustrate these points we can first create quantification tables for these data I also change the display mode so we offset these data and Iamp;#39;ll use a 50% offset in terms of the display tile so we see these two spectra stacked and Iamp;#39;ll also just switch to arbitrary units and using the element library if we say find Peaks you can see that it identifies the oxygen 1s the carbon 1s