NSLS-II Software Documentation
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  • Cookbook (Examples)
    • Simply ‘count’ a detector
    • Inspect or rehearse a plan (“simulation mode”)
    • Use scans with adaptive step sizes
    • Scan a grid around each sample in a grid
    • A Minimal CSV writer for data collection
    • Re-scan until fit achieves desired confidence
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Cookbook (Examples)¶

Each recipe is a complete, runnable example. See the individual project documentation, linked in the menu at left, for detailed prose documentation and API specification.

../_images/sphx_glr_count_with_table_thumb.png

Simply ‘count’ a detector¶

../_images/sphx_glr_simulation-mode_thumb.png

Inspect or rehearse a plan (“simulation mode”)¶

../_images/sphx_glr_adaptive-steps_thumb.png

Use scans with adaptive step sizes¶

../_images/sphx_glr_grid_in_grid_thumb.png

Scan a grid around each sample in a grid¶

../_images/sphx_glr_csv_writer_thumb.png

A Minimal CSV writer for data collection¶

../_images/sphx_glr_adaptive_fitting_thumb.png

Re-scan until fit achieves desired confidence¶

Download all examples in Python source code: cookbook_python.zip

Download all examples in Jupyter notebooks: cookbook_jupyter.zip

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