Contents

Introduction to the Plot Burgers Vector Function

• How it is generically calculated
• Specific instructions how to generate Burger Vector plots in Open XY

Additional Notes

• An unintegrated plot burgers vector tool with small differences

Introduction to the Plot Burgers Vector Function

This function works by taking the average direction and magnitudes of all available GND information from the HREB-SD scans to create a vector at each pixel, we use this as our estimated burgers vector. Due to the number of slip systems contained in each pixel the created burgers vector and larger scale macroscopic deformation, these vectors never completely align with the expected slip system direction. However, a correlation can often be seen throughout the generated plot burgers vector plot. These values are then filtered to remove extreme values (these filters can be found in lines 213-217 of the function) and then scaled to fit onto a plot without excessive intersection. This set of vectors is then plotted on top of the IPF and an adjusted Dislocation Density plot, with the beginning of each vector starting at the middle of each pixel.

To create these plots there are a few simple steps to follow:

1. Run Open XY with the advanced setting “Calculate Dislocation Density” turned on
   

2. In the Output Plotting GUI select “Burgers Vector”
   

3. Then hit the “Plot Selected” button in the Output Plotting GUI
   

4. The plot burgers vector plots will appear
   

Below is an example of the two burgers vector plots generated by this tool (using the sample data set in the wiki).

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Additional Notes

There’s an unintegrated plot burgers vector tool “PlotBurgersUnintegrated.m” that can be used with a previously created Analysis params file. (Note the Analysis Params file used still needs to have calculated dislocation density) This tool differs from the normal plot burgers vector tool in two ways:

1. It is run outside of open XY using a “analysis params” file previously created by open xy.
   

2. It divides the IPF and Dislocation Densities map into a grid, then it takes the average of all Burgers vector in each grid, applies a scalar to the averages, and finally plots the average vector on top of the previous smaller vectors.
   
          a.     This is useful when viewing large data sets and want to see a higher-level average of the burgers vector.
          b.     It is also easy to use for previously used data sets without having to put them into Open XY again.
          c.     Below is an example image showing how with a larger data set the burgers vectors (white arrows) become too small to be discernable. This tool plots average vectors (black arrows) on top of the burgers vector to better display underlying patterns.
   

3. It includes a Crystallographic directions plot of the burgers vectors (See below)