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Software . 2023
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Software . 2023
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sxrd-intensity-time-plots: v1.0.0

Authors: Daniel, Christopher Stuart; Quinta da Fonseca, João;

sxrd-intensity-time-plots: v1.0.0

Abstract

A Python notebook for creating intensity-time plots (intensity versus time and azimuthal angle) from a dataset of synchrotron X-ray diffraction (SXRD) pattern images, for multiple individual lattice plane rings, using the pyFAI and FabIO packages. Intensity-time plots show how the variation in intensity around each lattice plane ring changes over time, throughout an experiment, which can be used to discern in-situ qualitative evolution of material properties, such as changes in crystallographic texture and activation of continuous/discontinuous recrystallization. The package works with diffraction pattern image data in the form of .cbf or .tiff images, and uses a .poni calibration file to calibrate the data. See the pyFAI-integration-caking package for creating a .poni calibration file from a calibrant diffraction pattern image. The intensity-time plots are saved as .png images, along with .txt files containing the intensity values for replotting. Contents It is recommended the user works through an example in the notebook: `intensity-time-plots.ipynb` - Contains an example using inputs from a .yaml text file demonstrating the production of intensity-time plots for plotting changes in intensity variation around multiple individual diffraction pattern rings over time. Note, the `example-data/`, `example-calibration/` and `example-analysis/` folders contain data that can be used as an example analysis, but a clear external file structure should be setup to support the analysis of large synchrotron datasets. Installation Instructions for installing the Python libraries to run the notebooks can be found in the README.md file.

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Keywords

python, synchrotron diffraction

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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