25 lines
1.1 KiB
Markdown
25 lines
1.1 KiB
Markdown
# xray
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Different utilities to work with time resolved solution/powder scattering data
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They should be extended to absorption soon
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The idea is an hierarchical structure of modules
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> user → beamline → workhorses
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## Workhorses
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azav.py: uses pyFAI to convert images into 1d curves
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dataReduction.py: works on the normalization, referencing and averaging.
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Both modules uses some common utilities in utils.py including file based storage for persistency and convenience (numpy or hdf5 based);
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Indeed the data_storage class wraps around dictionaries allowing accessing with .attribute syntax.
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In utils plotfuncitons are presents
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## beamline
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this step is needed to read the diagnostic information (time delay, monitors, etc). An example for current id9 data collection macros is given (id9.py). Essentially it means creating a dictionary where each key will be added to the main data dictionary (that has keys like q, data, files, etc.)
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## user
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at the user level, a rather simple macro like the one provided as an example (example_main_tiox.py) should be sufficient for most needs.
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