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smalldata_tools will pass on an unmasked data array throughout the different functions, along with two masks that are also saved in the userDataCfg datasets in the hdf5 file.

• mask will be the status mask from the pedestal production , including masked edgepixels

• cmask will add a potential user mask as saved in pixel_mask

detFuncObjects will use the mask along with the data to derived the 'reduced/transformed' dataset (e.g. projections of an ROI, droplet or photon finding etc).

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