- Python 3.5 or higher
- Non-standard python package PyQtGraph (http://www.pyqtgraph.org/), written by Luke Campagnola
It is recommended to use Anaconda (https://www.anaconda.com/) and run
conda install -c anaconda pyqtgraph
To enter the GUI, just type
python __main__.py [input_file.dat]
Input files can be specified in the command line or selected via the GUI. The current project can be saved at any time via GUI by clicking the save icon.
Recognized plotting keywords are
-
!PLOT
Plot the energy spectrum after input file processing was finished -
!NORMALIZE
Normalize the area under the curve for the energy spectrum to 1000 -
!SINGLE_SCANS
Plot each scan separately, allowing for visual inspection of differences -
!SINGLE_ANALYZERS
Plot each analyzer signal separately, allowing for visual inspection of differences -
!SUBTRACT_MODEL
Subtract the background, if there is one -
!AUTO
Plot the energy spectrum automatically everytime something changes
Recognized analysis keywords are
!SCANS!ANALYZERS!CALIBRATIONS!GROUPS!REFERENCES!SETTINGS
Specifiy scans as
!SCANS
scan(path, include, group)
scan(...)
...
analyzers as
!ANALYZERS
analyzer(include, position-x, position-y, width, height, bg01-distance,
bg02-distance, bg01-height, bg02-height, energy-points)
analyzer(...)
...
calibrations as
!CALIBRATIONS
energy(position)
energy(...)
...
groups as
!GROUPS
group(include, reference, name)
group(...)
...
reference as
!REFERENCES
reference(path, r1, r2, name)
reference(...)
...
A number of example input files can be found under /examples.
- Manage numerous scans and analyzer (ROIs) at the same time. View them separately, overlayed or summed (via linear interpolation)
- Enable the automatic plotting-update to view and access changes quickly (e.g ROI size)