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| # Basic / on-the-fly data analysis, viewing detector images | ||
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| 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](https://github.com/CHESSComputing/CHAP-Training-Examples-Materials/tree/main/example_01) | ||
| - Skills: CHAP, python, Linux command line, navigating CHESS filesystems, Jupyter notebooks, matplotlib | ||
| 3. Medium complexity: [Tomographic reconstruction](https://github.com/CHESSComputing/CHAP-Training-Examples-Materials/tree/main/example_02) | ||
| - Skills: CHAP, python, Linux command line, navigating CHESS filesystems, NoMachine, NeXpy, Galaxy | ||
| 5. Low complexity: [Browser-based data visualization dashboard](http://services.nationalsciencedatafabric.org/chess/) | ||
| - 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 | ||
| 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](https://github.com/CHESSComputing/CHAP-Training-Examples-Materials/tree/main/example_01) | ||
|
|
||
| - Skills: CHAP, python, Linux command line, navigating CHESS | ||
| filesystems, Jupyter notebooks, matplotlib | ||
|
|
||
| 3. Medium complexity: [Tomographic | ||
| reconstruction](https://github.com/CHESSComputing/CHAP-Training-Examples-Materials/tree/main/example_02) | ||
|
|
||
| - Skills: CHAP, python, Linux command line, navigating CHESS | ||
| filesystems, NoMachine, NeXpy, Galaxy | ||
|
|
||
| 5. Low complexity: [Browser-based data visualization | ||
| dashboard](http://services.nationalsciencedatafabric.org/chess/) | ||
|
|
||
| - 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 |