Basic / on-the-fly data analysis, viewing detector images

The following hands-on exercises demonstrate various methods of analyzing and viewing x-ray detector images. The first two exercises require an activated CLASSE account and access to the CLASSE JupyterHub.

  1. Low complexity: Azimuthal integration of 2D diffraction patterns

    • Skills: CHAP, python, Linux command line, navigating CHESS filesystems, Jupyter notebooks, matplotlib

  2. Medium complexity: Tomographic reconstruction

    • Skills: CHAP, python, Linux command line, navigating CHESS filesystems, NoMachine, NeXpy, Galaxy

  3. Low complexity: Browser-based data visualization dashboard

    • Practice choosing a dataset, navigating through an image stack, zooming in and out, changing the color palette, switching between lin/log scale, dropping probes in multiple locations
    • Skills: Examining detector images