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The MPIDataSource pattern can be used to "translate" data from xtc to hdf5.  It offers the following advantages over the old translation methodfeatures:

  • users can choose what data they want to store in HDF5 (e.g. raw image data, calibrated)
  • users can use python algorithms (e.g. saving only part of a camera Image) to reduce the output data volume which dramatically speeds up translation.  It also potentially allows the hdf5 files to be moved to a laptop for further analysis.
  • can be run in parallel on many cores
  • datasets are guaranteed to be "aligned"

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