25 lines
1.0 KiB
Markdown
25 lines
1.0 KiB
Markdown
# xray
|
|
|
|
Different utilities to work with time resolved solution/powder scattering data
|
|
They should be extended to absorption soon
|
|
|
|
The idea is an hierarchical structure of modules
|
|
|
|
> user → beamline → workhorses
|
|
|
|
## Workhorses
|
|
azav.py: uses pyFAI to convert images into 1d curves
|
|
dataReduction.py: works on the normalization, referencing and averaging.
|
|
|
|
Both modules uses some common utilities in utils.py including file based storage for persistency and convenience;
|
|
Indeed the data_storage class wraps around dictionaries allowing accessing with .attribute syntax.
|
|
In utils plotfuncitons are presents
|
|
|
|
## beamline
|
|
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.)
|
|
|
|
## user
|
|
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.
|
|
|
|
|