Α and β modify the tail shape at the higher and lower binding energy side of the peak respectively, with an increase in value reducing the spread of the tail. Beginners Guide to CasaXPS Screen-Cam Videos Peak Fitting Video. The most useful lineshape in data description is known as the LA lineshape, which takes the general form of LA (α, β, m). For example Shirley backgrounds reduce asymmetry in the resultant peaks, compared with say a Tougaard background. Two additional peaks appear in the model and further more three of the peaks look like they may have something to do with pure PAA. Peak deconvolution: F7- Quantification parameters window.
Similarly, to offset a component in column C by 0.2 from the compone. CasaXPS: (refer to the CasaXPS manual for detailed instruction). To constrain the area of the component in column B to be half of the area of the component in column A, the area constraint in column B should be set to A 0.5. Below we outline and describe some of the many lineshapes available in CasaXPS for peak fitting.Ĭare should be taken to suitable lineshapes depending on the background chosen. peaks with said constraint results in a peak fit shown in Figure 3. These columns are headed A, B, C and so on. When approaching a deconvolution in XPS, it is important to consider which peak shapes you may wish to use to best represent your data.