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  1. SAFe Program
  2. SP-792

Assessment of SDP relevant state-of-the-art imaging and calibration algorithms

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      To bootstrap the development of SKA1 workflows that account for DD effects in calibration and imaging, it would valuable to perform a systematic evaluation of the status of current state-of-the-art tools and algorithms and identify how these might fit into or be adapted to be compatible with the SKA SDP architecture. As part of this review, where possible, identifying the maturity level and distance of each code from the SKA definition of done would also be valuable.

      Show
      To bootstrap the development of SKA1 workflows that account for DD effects in calibration and imaging, it would valuable to perform a systematic evaluation of the status of current state-of-the-art tools and algorithms and identify how these might fit into or be adapted to be compatible with the SKA SDP architecture. As part of this review, where possible, identifying the maturity level and distance of each code from the SKA definition of done would also be valuable.
    • Hide

      Short report combining all assessments that can be used to set out the development roadmap for the component library.

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      Short report combining all assessments that can be used to set out the development roadmap for the component library.
    • 4
    • 4
    • 5.75
    • Team_SCHAAP
    • Sprint 4
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      https://confluence.skatelescope.org/display/SE/Calibration+and+imaging+algorithms+handling+direction-dependent+effects+for+SKA+SDP

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      https://confluence.skatelescope.org/display/SE/Calibration+and+imaging+algorithms+handling+direction-dependent+effects+for+SKA+SDP
    • 14.2
    • Stories Completed, Outcomes Reviewed

    • PI22 - UNCOVERED

    Description

      In SP-674, an inventory was made of SDP relevant state-of-the-art imaging and calibration algorithms and an assessment template was made to allow harmonised assessment of those algorithms. Furthermore, in SP-796 simulations are going to be prepared for visibilities and beam models that allow us to assess how well direction-dependent effects can be corrected for in SKA-like data sets.

      This feature covers the next steps: Firstly, we should go through the identified algorithms and assess them based on the template. Furthermore, a small number of good candidates should be selected and used to demonstrate and assess the current capability to correct (and image) the standard simulated data sets identified in SP-796.

      The algorithms used and developed by Team YANDA will be assessed by Team YANDA, see SP-930.

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          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-930 Assessment of SDP relevant state-of-the-art imaging and calibration algorithms used and developed by team YANDA

          • Not Assigned - Priority is not assigned yet.
          • Done
          relates to

          Enabler - An Enabler supports the activities needed to extend the Architectural Runway to provide future business functionality. These include exploration, architecture, infrastructure, and compliance. SP-674 Identify and describe SDP relevant state-of-the-art DD tools and algorithms

          • Done

          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-796 Simulation of beam models and visibilities DD corrections

          • Not Assigned - Priority is not assigned yet.
          • Done

          Spike - A time limited investigation to get some knowledge SP-779 Requirements on SKA Low beam model accuracy - further work needed

          • Not Assigned - Priority is not assigned yet.
          • Funnel
          split 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-930 Assessment of SDP relevant state-of-the-art imaging and calibration algorithms used and developed by team YANDA

          • Not Assigned - Priority is not assigned yet.
          • Done
          mentioned in

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                r.laing Laing, Robert
                s.wijnholds Stefan Wijnholds
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                Feature Progress

                  Story Point Burn-up: (100.00%)

                  Feature Estimate: 4.0

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                  Complete612.0
                  Total612.0

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