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  1. SAFe Program
  2. SP-1055

Enable use of SKA beams in WSClean

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    • Data Processing
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      WSClean provides key functionality for imaging and deconvolution. The ability to use beam information on SKA1-LOW and SKA1-MID is essential to use WSClean for the reduction of SKA (simulated) data.

      Show
      WSClean provides key functionality for imaging and deconvolution. The ability to use beam information on SKA1-LOW and SKA1-MID is essential to use WSClean for the reduction of SKA (simulated) data.
    • Hide

      Demonstration of successful imaging of a small SKA simulated data set using WSClean in which appropriate beam corrections are applied.

      Show
      Demonstration of successful imaging of a small SKA simulated data set using WSClean in which appropriate beam corrections are applied.
    • 4
    • 4
    • 4.5
    • Team_SCHAAP
    • Sprint 5
    • Hide

      WSClean can obtain the required SKA-LOW beam information from EveryBeam. The correctness of the SKA-LOW beam import was validated in a simple simulation scenario against the SKA-LOW beam implemented in OSKAR. This was demonstrated during the PI7 demo (https://confluence.skatelescope.org/display/SE/2020-08-26+PI7+Demo)

      The EveryBeam code is available at
      https://git.astron.nl/RD/EveryBeam

      Show
      WSClean can obtain the required SKA-LOW beam information from EveryBeam. The correctness of the SKA-LOW beam import was validated in a simple simulation scenario against the SKA-LOW beam implemented in OSKAR. This was demonstrated during the PI7 demo ( https://confluence.skatelescope.org/display/SE/2020-08-26+PI7+Demo ) The EveryBeam code is available at https://git.astron.nl/RD/EveryBeam
    • 8.2
    • Stories Completed, Outcomes Reviewed, Demonstrated, Satisfies Acceptance Criteria

    • PI22 - UNCOVERED

    • Team_SCHAAP
    • SPO-573

    Description

      WSClean provides key functionality for imaging and deconvolution and should thus be able to handle SKA data. The goal is to provide a library that can figure out the right beam to use from observation meta data, e.g., from a measurement set. Settings / beam selection should optionally be further configurable by the user. The interface should support efficiently making beams for the two most-common cases: image-based beam calculation (for A-term gridding or for image-based beam correction), and "per-component" beam calculation as necessary for direct Fourier transform.

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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-1003 Analysis of state-of-the-art DDE algorithms with SKA1 simulated data

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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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                  Complete1025.5
                  Total1025.5

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