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'Cube' is the nickname we gave to the intermediate analysis result which is a 2D detector image as a function of certain variables. This is how , meaning the first level of data reduction is achieved through average. The other variable is most typically the time tool resorted delay time, but can be other variables as well such as laser power, temperature, etc. . The code techinally does not average, but rather sum the requested data for all events in a given bin passing some filter. The number of events in a slice is also stored.
The code is now rewritten to use the SmallDataAna(_psana) interface as that allows a more flexible definition of both binning variables and selection variables using derived variables rather than being restricted to the values saved directly in the hdf5 file. As for the SmallData production, there is a driver script (makeCube) and a "production" python file called "MakeCube.py". An example of the production file can be found here:
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