Expand spectral line pipeline capability and test scaling

Highly parallelised spectral line imaging is required for processing spectral line data which will eventually require efficient per channel wide-field imaging with continuum subtraction. Whilst the scaling of this pipeline should be straightforward, it will account for a significant portion of the overall processing time. Development of this pipeline now will enable early understanding of necessary functionality, overall performance and maximise time for further development to meet our performance needs.

1. Add additional functionality as outlined in the diagram (scope to be agreed during planning discussions)
   1. An updated release of the pipeline
2. Benchmark tests with data for both Low and Mid that test performance and scalability of current functionality
   1. Confluence page reports
3. Discussion with relevant stakeholders to illicit feedback for future additions/improvements (Science Operations/ Commissioning Scientists)

Inputs:

• (Final DD calibration solutions from self-calibration)
• Averaged/calibrated visibilities
• Final Local sky model (produced post-continuum imaging pipeline)

Outputs:

• Spectral line cube Data Product with residual image cube
• Line plots