Dask self-calibration pipeline demonstrating use SDP Processing Functions

• Self-cal pipeline, designed to integrate new SDP Processing functions (preferably using the Python Bindings)
• Identify suitable test data and develop test scripts for running the pipeline and for checking and analysing outputs
• Include in a suitable SDP GitLab repo with consideration for CI, developer documentation, etc

We have created a prototype imaging pipeline using the processing function library. Despite the title of this feature, it is not parallelised in Dask nor does it perform self-calibration. The only function available when the pipeline was created was the direct Fourier transform (DFT). The pipeline is formally a stand-alone code, but it depends on RASCIL data models and processing functions. Since the pipeline is a serial implementation we have used small test data sets from RASCIL in testing it.

A comparison of the output images and timings can be found in Results comparison for stand-alone imaging.