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Data Analysis

This page contains tutorial videos on how to utilize HighScore Plus to analyze X-ray diffraction data.  

HighScore Plus - Phase Identification

If you are new to HighScore Plus or if it has been a long time since you have used it, this is the video with which you want to start.  Topics include loading data, determining background, performing a peak search, performing a search/match, and accepting diffraction patterns.  

HighScore Plus - Phase Quantification

Using the results from the phase identification video above, this video covers how to convert accepted patterns to phases, issues encountered when converting patterns to phases, renaming phases, automatic Rietveld refinement, and calculating errors.

HighScore Plus - Creation of an Instrumental Profile and Determination of Crystallite Size and Microstrain

While there are a number of ways in which you can determine crystallite size and microstrain, one thing remains the need to determine the broadening caused by your optics before analyzing your sample data.  This video covers how to analyze data collected from a NIST standard to determine instrumental broadening, how to create an empty instrumental standard file that can be used for future samples without the need of re-analyzing the NIST standard, how to insert a data file into the blank instrumental file, and how to analyze a sample using Rietveld refinement to determine the crystallite size and microstrain.  This video looks at two samples, an as-received sample of Al2O3 and an annealed sample of Al2O3.  

HighScore Plus - Creating Custom Parameter Sets

Parameter sets allow you refine whichever parameters you like in whichever order you choose.  If you watched the phase quantification video above, you saw that it used an "Expanded Rietveld" parameter set that is similar to the "default Rietveld" parameter set but also refines on preferred orientation, Cagliotti parameters U and V, and peak shape parameters.  This "Creating Custom Parameter Sets" video shows you the easy steps to make your own custom parameter sets.

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