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  • The second stage depends much more on the type of experiment. Different options are available:
    • Adapt one of the templated analysis notebooks to suit the current experiment needs. These custom templates have been made for the more common experiment experiments performed at different endstation at LCLS and are available at <path>. This approach is generally recommended for lightweight data analysis, for which the area detector images are reduced to a single (or few) number (integration of a ROI, azimuthal binning, for example).
      A description of the example notebooks can be found here: <link>
    • Binning of the full detector images can be performed by setting up the cube analysis, which will return a dataset of binned data and images, resulting in a relatively light-weight file. This approach is recommended in cases where the analysis of the full image is needed (Q-resolved diffused scattering analysis, for example).
      Details on the cube workflow are given here: <link>

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