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  1. SAFe Program
  2. SP-1057

Simulation of beam models and visibilities with DD corruptions for SKA1-MID

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    • Data Processing
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      In order to perform a fair and consistent comparison of ART DD imaging and calibration algorithms for generating SKA1 data products (SP-792) it will be important to agree upon, simulate and publish (scripts and/or data) for a small number of well defined input visibility data sets. Where at all possible, this should be built upon existing SKA1 simulations work (see linked features).

      Show
      In order to perform a fair and consistent comparison of ART DD imaging and calibration algorithms for generating SKA1 data products ( SP-792 ) it will be important to agree upon, simulate and publish (scripts and/or data) for a small number of well defined input visibility data sets. Where at all possible, this should be built upon existing SKA1 simulations work (see linked features).
    • Hide
      • Demonstrate that the SKA simulation can simulate realistic DD effects for SKA1-MID that include both the instrumental response and a tropospheric propagation model.
      • Simulation scripts and data sets made available to begin comparison of the DD calibration and imaging algorithms identified in SP-792.
      Show
      Demonstrate that the SKA simulation can simulate realistic DD effects for SKA1-MID that include both the instrumental response and a tropospheric propagation model. Simulation scripts and data sets made available to begin comparison of the DD calibration and imaging algorithms identified in SP-792 .
    • 2
    • 2
    • 8
    • Team_SIM
    • Sprint 5
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      The specification for simulations are here: https://confluence.skatelescope.org/display/SE/Simulations+with+Direction-Dependent+Effects

      Plots of the some of the outputs of the single-frequency simulations are here: https://confluence.skatelescope.org/display/SE/Mid+single-frequency+DD+simulations

      The measurement sets are available in the simulation data repository: https://console.cloud.google.com/storage/browser/ska1-simulation-data/ska1-mid/direction_dependent_sims_SP-1057

      The results were presented at the DP ART system demo 7.5: https://confluence.skatelescope.org/display/SE/2020-08-12+DP+ART+System+Demo+7.5

      Show
      The specification for simulations are here: https://confluence.skatelescope.org/display/SE/Simulations+with+Direction-Dependent+Effects Plots of the some of the outputs of the single-frequency simulations are here: https://confluence.skatelescope.org/display/SE/Mid+single-frequency+DD+simulations The measurement sets are available in the simulation data repository: https://console.cloud.google.com/storage/browser/ska1-simulation-data/ska1-mid/direction_dependent_sims_SP-1057 The results were presented at the DP ART system demo 7.5: https://confluence.skatelescope.org/display/SE/2020-08-12+DP+ART+System+Demo+7.5
    • 8.3
    • Stories Completed, Outcomes Reviewed, Demonstrated, Satisfies Acceptance Criteria

    • PI22 - UNCOVERED

    • Team_SIM
    • SPO-573

    Description

      Note: this ticket is intended to capture the follow-up work of SP-796 concerning SKA1-MID.

      Step 1: Combine the available simulations of the instrumental response of SKA1-MID with the model of the troposphere developed in -SP-651-.

      Step 2: Create and make available a small number of reference visibility data sets for SKA1-MID with varying levels of DD corruptions (beam, troposphere). These simulations should be accompanied by a set of reference beam images/models and/or the scripts for generating them. These should be large enough to cover the first few side lobes of the primary beam and do not need to generated at the full time or frequency resolution of the visibility simulation. Another way to keep the size of the simulated visibility set manageable is to use fewer dishes, for example those identified for AR1 or AR2.

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          is required by

          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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          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-1033 Evaluation and benchmarking of existing mitigation techniques for heterogenous beams

          • 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: 2.0

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                  Total1229.0

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