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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

For all tests below Record tclean parameters and telemetry data for each of the 3 tclean calls.

Run each standard ALMA imaging pipeline generated data set through the following 3 casa revs.  Record tclean parameters and telemetry data for each of the 3 tclean callsAll tests run with 8 way parallelization and 128GB memory limit.  All tests run within AWS.

The following tests vary memory environment for each data set, all tests using casa-CAS-9386-45 (CASA 6.1.0.54a9386.dev45) refactor code. All tests run within AWS

As a control the following two data sets will be run on NRAO clusters as a check against AWS runs.