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38 | 38 | 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. |
| 40 | +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. |
| 42 | +Diffpy.fourigui always displays one slice perpendicular to one axis and allows scrolling through the 3D data set along |
| 43 | +the given axis with a slider. It shows feedback values such as global and local maxima, minima, or NAN ratios. The |
| 44 | +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. |
| 46 | +Diffpy.fourigui is designed for the processing of 3D atomic pair distribution functions (PDFs). One can load a 3D |
| 47 | +reciprocal space scattering volume which can be Fourier transformed to the 3D PDF. Thereby, one can apply cut-off |
| 48 | +frequencies beyond and below given Q values, compare the results, and switch between the scattering volume in reciprocal |
| 49 | +space and the 3D PDF in real space. |
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51 | 51 | For more information about the diffpy.fourigui library, please consult our `online documentation <https://diffpy.github.io/diffpy.fourigui>`_.
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