Quick Overview #
Analysis of survey spectra is critical to understanding what your sample is made of. The high pass energy of a survey scan means that, despite the low energy resolution you can identify the elemental composition of your surface. Trace amounts of elements are more readily observed in survey scans due to the increased signal intensity.
Automatic Identification of Elements #
Use the auto ID button in the analysis tab when you have a survey spectrum selected to ask Avantage to automatically detect and identify the peaks in your data. Avantage will also attempt to identify the chemical environment of this data, although this should be treated with caution since it is analysing low energy resolution data and will be less precise than higher resolution analysis.
Manually Add Peaks and Markers by Element #
With a spectrum selected, use the manual ID button to open the peak ID menu. In the ID by element tab, you can select elements you know (or think!) are in the dataset, and see which peaks line up with your element lines. If everything matches and you have no ‘extra’ peaks, then you have what you think you have. If you find peaks without a corresponding peak marker then you may have a more complicated dataset than you thought…
Clicking on ‘add as annotation’ will put all the peak markers onto the data, so you can export the image with markers. Click ‘add as peaks’ and Avantage will integrate and load the correct RSFs to enable dataset quantification.
Manually Add Peaks and Markers by Range #
Again using the manual peak ID button, you can search for a peak ID by energy range. Dragging, expanding and analysing peaks in your data will bring up potential peak identities in the window. Select the peaks you believe them to be, and you can add peak markers or integrate the data based on your evaluation of the element.
Removing Annotations #
If you have added annotations and would like to remove them, right click on the data and click ‘remove all annotations’. See our annotating data in Avantage page for more information.
Removing Added Peaks #
If you have added peaks to your data and would like to remove and start again, go to the peaks tab and right click on the table. You can either delete selected peaks, or delete all peaks.







