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README.rst

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Tool for visualizing 3D diffraction and PDF Images.
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* Diffpy.fourigui is a tool to visualize and process 3D data sets written with the Python programming language.
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Diffpy.fourigui always displays one slice perpendicular to one axis and allows scrolling through the 3D data set along
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the given axis with a slider. It shows feedback values such as global and local maxima, minima or NAN ratios.
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The matplotlib panel e.g. for zooming and saving figures is featured. Diffpy.fourigui is designed for the processing of 3D
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atomic pair distribution functions (PDFs). One can load a 3D reciprocal space scattering volume which can be Fourier
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transformed to the 3D PDF. Thereby, one can apply cut off frequencies beyond and below given Q values, compare the
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results and switch between the scattering volume in reciprocal space and 3D PDF in real space.
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* LONGER DESCRIPTION HERE
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For more information about the diffpy.fourigui library, please consult our `online documentation <https://diffpy.github.io/diffpy.fourigui>`_.
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If you use diffpy.fourigui in a scientific publication, we would like you to cite this package as
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S. Y. Harouna-Mayer, S. Tao, Z. Gong, M. V. Zimmermann, D. Koziej, A.-C. Dippel, and S. J. L. Billinge,
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`Real-Space Texture and Pole-Figure Analysis Using the 3D Pair Distribution
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Function on a Platinum Thin Film <https://doi.org/10.1107/S2052252522006674>`_. *IUCrJ* **9 (5)**, 594–603 (2022).
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diffpy.fourigui Package, https://github.com/diffpy/diffpy.fourigui
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Installation
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------------
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Improvements and fixes are always appreciated.
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Before contribuing, please read our `Code of Conduct <https://github.com/diffpy/diffpy.fourigui/blob/main/CODE_OF_CONDUCT.rst>`_.
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Before contributing, please read our `Code of Conduct <https://github.com/diffpy/diffpy.fourigui/blob/main/CODE_OF_CONDUCT.rst>`_.
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Contact
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