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  1. Demonstrate that the refactored code has the desired memory footprint effect.  We'll start with the referenced data set and then expand to larger data sets.  
  2. Demonstrate the runtime cost of the refactored code and whether it's a fixed overhead so it's contribution goes to zero for larger data sets or whether the overhead scales with image complexity


Run each standard ALMA calibration pipeline generated data set through the following 3 casa revs.  Record tclean parameters and telemetry data for each of the 3 tclean calls.


Casa5 version and pipe revCasa6 version and pipe revcasa6.1test version and pipe rev
ALMA data setstatusstatusstatus
ALMA data setstatusstatusstatus