Overview

The QA Display visualizes Signal metrics (e.g, spectrum plot, waterfall plot etc.) received from the QA Data API via WebSockets, in real-time.

For how to set up and run the display, see Running the QA Display. For deployment and integration with the QA Data API and the full SDP system, see Integration with QA Data API and SDP System. For interpreting the metrics, see Configuration and Statistics, Available Graphs, and External Dashboards.

More information of the API can be found in the QA Data API Docs.

Main Interface

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This is the main page when the interface is opened. The graphs have been split up into various menu sections.

The Visibility Receive graphs are all grouped under VISIBILITY:

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The Calibration plots are under CALIBRATION:

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The currently running observation can be viewed by clicking on OBSERVATION INFORMATION in the header bar. And will show the following modal:

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Legend

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The Legend component provides an overview of the receptors and baselines currently in use during the observation. It appears on the pages where multiple baseline data is being displayed and can be collapsed or expanded using the toggle button. The legend builds its display based on baselines found in the incoming data and maintains its state as you navigate between pages. By default, baselines representing cross-correlations are active in the legend, whilst auto-correlations are deselected.

The legend displays two types of information:

  • Receptors in use: Shows buttons for each active receptor. Click on a receptor button to toggle its visibility in the graphs.

  • Baselines in use: Displays a set of global toggles for controlling all baselines, the cross-correlations, and the auto-correlations. Additionally, shows buttons for each baseline, color-coded to match the corresponding data in the visualizations. Click on a baseline button to toggle its visibility. If the data contains both receptor combinations for the same baseline pair (e.g., both SKA001_SKA002 and SKA002_SKA001), these baselines are shown with dashed borders and a warning message is displayed. This indicates that the data contains redundant baseline combinations that should typically be avoided in the observation configuration.

Active (visible) items are shown with bold borders and higher opacity, while inactive (hidden) items appear dimmed.