CIMG

The Continuum Imaging Pipeline (CIMG) produces contimuum images from the pre-processed target field visibilities (generated by BPP) and the gain table and facet regions generated by the self-calibration pipeline (ICAL) using WSClean.

Current outputs include model images, residual images and restored images. Work is planned to support stacking images into a cube.

CIMG runs either on a single or multiple nodes (using MPI) and selected WSClean parameters are configured using a YAML file as input. It can optionally accept a mask. CIMG is written in Python and orchestrated with prefect. Its progress can be monitored using the prefect UI.

        flowchart LR

    input_ms@{ shape: disk, label: "Pre-processed <br> Visibilities <br> (Target)"}
    solutions@{ shape: disk, label: "Gain Table (DDE)"}
    facet_regions@{ shape: disk, label: "Facet Regions"}
    config@{ shape: doc, label: "Configuration"}

    ical(("Self-Calibration<br>(ICAL)")) --> solutions & facet_regions
    bpp(("Batch Pre-Processing<br>(BPP)")) --> input_ms

    subgraph cimg["Continuum Imaging (CIMG)"]
        configure@{ shape: rect, label: "Configure pipeline" }
        image@{ shape: rect, label: "Run WSClean"}
        stack@{ shape: rect, label: "Stack images" }
    end

    image_cube@{ shape: disk, label: "Image cube"}
    images@{ shape: disk, label: "Images"}

    config --> configure --> image
    input_ms & solutions & facet_regions --> image
    image --> images
    image -.-> stack -.-> image_cube

    style stack fill:stroke-width:2px,stroke-dasharray: 5 5
    style image_cube fill:stroke-width:2px,stroke-dasharray: 5 5