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  1. SAFe Program
  2. SP-3004

Release Digital Signal chain processing for PSI-LOW as a roadmap to AAVS and AA0.5

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    • Feature
    • Must have
    • PI17
    • None
    • Services
    • Hide

      In PI16 the digital signal chain was established, but not to the quality it is expected. Several components were still under development and there are unresolved bugs so that a release couldn't be established.
      This feature is intending to address this by gathering releases and make the signal chain tests repeatable.

      Show
      In PI16 the digital signal chain was established, but not to the quality it is expected. Several components were still under development and there are unresolved bugs so that a release couldn't be established. This feature is intending to address this by gathering releases and make the signal chain tests repeatable.
      • BDD test scenario automated in gitlab-ci
      • AIV user can run the signal chain test manually without assistance
      • helm (umbrella) chart release for the overall k8s deployment
    • Intra Program
    • 2
    • 2
    • 0
    • Team_VULCAN
    • Sprint 4
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      released chart - REL-490 significant collaboration between Perentie, MCCS, Viola discovery of SPS<->CBF data interface usage differences full jupyter notebook control of the system (to be attached here) released BDD test automation (xfailing and carried over to SP-3246 ) SUT documentation https://confluence.skatelescope.org/display/SE/LOW+SUT1+digital+signal+chain
    • 19.6
    • Stories Completed, Outcomes Reviewed, Demonstrated
    • PI24 - UNCOVERED

    • LOW_SUT1

    Description

      Integration in the PSI-LOW to release the signal chain:

      Dependent on MCCS (SP-3008):

      • MCCSDAQ that can retrieve unchannelised, channelised and station beam-formed data
      • Monitor and control MCCS Subrack and MCCSTile (MCCS SPS chart for PSI-LOW)

       

       

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                v.allan Allan, Verity
                Vani.Naram Naram, Vani
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                Feature Progress

                  Story Point Burn-up: (100.00%)

                  Feature Estimate: 2.0

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                  Complete613.0
                  Total613.0

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