Diffraction analysis tool that estimates stress present polycrystalline specimen.

This python package allows one to analyze both experimental and model-predicted diffraction strain in order to estimate a generalized stress state of a polycrystalline sheets.

For the purpose of experimental d-spacing analysis, it accepts the format of Proto data. Current software also enables to plot various graphics for the purpose of data visualization by using matplotlib and some in-house scripts written for matplotlib, which is also available under current GitHub account (fork "mpl-lib").

In order to estimate the experimental/model-predicted stress, current software requires use of diffraction elastic constants written in the format called 'sff', which is being used in the 'PF' software managed by Thomas Gnaeupel-Herold in NCNR, NIST. One may find the template of the 'sff' file from the current software package.