Area detector analysis in smalldata_tools is handled using sublclasses of DetObjectFunc. In order to be itnegrated in the workflow, the function must subclass that object.
Let's start with an example of how to add a ROI function to a detector and process it over a couple events:
DetObjectFunc simple example
import psana from smalldata_tools.DetObject import DetObject, DetObjectFunc from smalldata_tools.SmallDataUtils import getUserData from smalldata_tools.ana_funcs.roi_rebin import ROIFunc # get psana data source exp = 'xpptut15' run = 650 dsname = f'exp={exp}:run={run}' ds = psana.MPIDataSource(dsname) # instantiate Jungfrau detector object det = DetObject('jungfrau1M', ds.env(), int(run)) # prepare the ROI function # See https://github.com/slac-lcls/smalldata_tools/blob/master/smalldata_tools/ana_funcs/roi_rebin.py # for info on the ROI function arguments func_kwargs = {} func_kwargs['ROI'] = [ [[0,1],[100,120],[50,60]] ] # a random ROI func_kwargs['thresADU'] = None func_kwargs['writeArea'] = False func = ROIFunc(**func_kwargs) # Attach function to the detector det.addFunc(func) # Process a couple events userDict = {} # dictionary to store detector data small_data = ds.small_data('./test.h5', gather_interval=5) # file to save data to ds.break_after(5) # stop event loop after 5 events for nevt,evt in enumerate(ds.events()): # usual psana event loop det.getData(evt) # get the detector data det.processFuncs() # process the attached functions userDict[det._name]=getUserData(det) # get the function results small_data.event(userDict) # write data to h5
As seen from this simple example, the workflow is as follow:
- Instantiate the detectors
- Setup the analysis functions with all its kwargs
- use
det.addFunc(...)
to add a function to the pipeline. Multiple functions can be added.
It can happen that certain function modify the detector data directly and will lead to unexpected behavior or errors. Please consult with us if you want to use multiple functions on the same detector. DetObjectFunc
also has aaddFunc
method, so that function can be daisy-chained. This is also contingent to the output of the first function being a compatible input to the second one, which is not always the case. For example, one can chain a ROI function to a projection to get the projection of the ROI only. Again, please consult with us for this.
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