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  1. SAFe Program
  2. SP-3391

Implement delay calculations in TMC LOW

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      e.g. Without delays visibilities cannot be calculated in the correlator.

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      e.g. Without delays visibilities cannot be calculated in the correlator.
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      • TMC LOW is able to calculate and publish as appropriate the delay polynomials required by the LOW CBF to produce visibilities.
      • A version of TMC LOW with delay calculations is available for use/testing at the LOW sITF as early as possibly during PI19 such that AIV engineers and the Perentie team can review the code for changes during the PI.
      Show
      TMC LOW is able to calculate and publish as appropriate the delay polynomials required by the LOW CBF to produce visibilities. A version of TMC LOW with delay calculations is available for use/testing at the LOW sITF as early as possibly during PI19 such that AIV engineers and the Perentie team can review the code for changes during the PI.
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    • Sub-system Version REL-673 TMC Low version with Delay polynomial calculation implementation

    • Team_SAHYADRI
    • Sprint 3
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      Delay polynomial is calculated on the CSP Subarray LeaffNode , per station.

      The initial implementation assumes one beam per station.  The fifth order polynomials are calculated using katpoint at a frequency of 10 seconds, The delay calculation starts when configure command is invoked. The delay model is publised on the delayModel attribute of the  CSP Subarray Leaf Node. 

      The calculation of delay model and publishing it on delayModel attribute  is tested using component level and integration tests.

      MR link on CspSubarrayLeafNode: 

      https://gitlab.com/ska-telescope/ska-tmc/ska-tmc-cspleafnodes/-/merge_requests/66

      MR link on ska-tmc-integration:

      https://gitlab.com/ska-telescope/ska-tmc/ska-tmc-integration/-/merge_requests/97

      Comments from Parentie and Architects to be analyzed and addressed as a enabler in PI-20

      The feature is demonstrated to the stake holders in System Demo

       

      Show
      Delay polynomial is calculated on the CSP Subarray LeaffNode , per station. The initial implementation assumes one beam per station.  The fifth order polynomials are calculated using katpoint at a frequency of 10 seconds, The delay calculation starts when configure command is invoked. The delay model is publised on the delayModel attribute of the  CSP Subarray Leaf Node.  The calculation of delay model and publishing it on delayModel attribute  is tested using component level and integration tests. MR link on CspSubarrayLeafNode:  https://gitlab.com/ska-telescope/ska-tmc/ska-tmc-cspleafnodes/-/merge_requests/66 MR link on ska-tmc-integration: https://gitlab.com/ska-telescope/ska-tmc/ska-tmc-integration/-/merge_requests/97 Comments from Parentie and Architects to be analyzed and addressed as a enabler in PI-20 The feature is demonstrated to the stake holders in System Demo  
    • 19.6
    • Stories Completed, Integrated, Solution Intent Updated, BDD Testing Passes (no errors), Outcomes Reviewed, NFRS met, Demonstrated, Satisfies Acceptance Criteria, Accepted by FO

    • PI23 - UNCOVERED

    • Team_HIMALAYA Team_SAHYADRI
    • SOL-G1

    Description

      Bring TMC LOW in line with TMC MID by enabling delay calculation, for use by CBF.

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          Sub-system Version - A version of a sub-system, used in the Release Management and Configuration Management process REL-673 TMC Low version with Delay polynomial calculation implementation

          • Released
          relates to

          Feature - A Feature is a service that fulfills a stakeholder need. Each feature includes a benefit hypothesis and acceptance criteria, and is sized or split as necessary to be delivered by a single Agile Release Train (ART) in a Program Increment (PI). SP-3354 LOW CBF Correlator Delay Polynomial Updates

          • Must have - Items labelled as "Must have" are critical to the current delivery timebox in order for it to be a success.
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                a.bridger Bridger, Alan
                Adam.Avison Avison, Adam
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                Feature Progress

                  Story Point Burn-up: (100.00%)

                  Feature Estimate: 3.0

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                  Total210.0

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