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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. The
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- matplotlib panel, e.g., for zooming and saving figures, is featured.
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- Diffpy.fourigui is designed for the processing of 3D atomic pair distribution functions (PDFs). One can load a 3D
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- reciprocal space scattering volume which can be Fourier transformed to the 3D PDF. Thereby, one can apply cut-off
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- frequencies beyond and below given Q values, compare the results, and switch between the scattering volume in reciprocal
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- space and the 3D PDF in real space.
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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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For more information about the diffpy.fourigui library, please consult our `online documentation <https://diffpy.github.io/diffpy.fourigui >`_.
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