![]() ![]() You can download such database at excel file when you work on peak identification each time. For instance, for the identification of primary X-ray K α line, you need to confirm the presence of the corresponding K β and low-energy L Identification should then be performed to the next most intense peak, and so on. escape and sum peaks, should then be located if they exist. All the lines for this specific element, e.g. Vi) Elemental identification should begin with the major (primary) peak in the spectrum. V) Any weakly excited peaks will not be identified for a specific element unless its stronger peaks are visible. Therefore, the possibility of peak misidentification will be lowered significantly if a full database (containing all family members) with all the X-ray peaks of the families from all elements is used. Iv) The peaks of the X-ray families will appear in fixed ratios (see page4672 and page4637). Should confirm the peak assignment as discussed here. However, this auto peak identification should be considered only as a suggestion, and the analyst Iii) Use automatic peak identification solution for the major peaks as a starting point. Ii) Record adequate counts statistically. This is normally done by EDS manufacturers or by EM managers periodically. A miscalibrated system will shift X-ray peaks to improper energies, increasing the risk of misidentification. I) The peak positions of EDS spectrometers should be calibrated accurately (see page1741). Especially, one of the most common errors made by EDS novices is misidentification of X-ray peaks.įor correct peak identification, one needs to follow the rules below: Note that in some cases from EDS spectra alone, unambiguous peak assignment may be impossible. Line (or called peak) overlap makes identification difficult. However, in practice, it is easy to misidentify the X-ray lines based on preconceptions of the result and due to line overlaps even though the analyst think it should not. Practical Electron Microscopy and Database -Ĭorrectly identifying various spectral lines and other features of the spectrum is the first step of performing accurate EDS analysis. Correct and Incorrect Peak Identification in EDS Measurements ![]()
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