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  1. SAFe Program
  2. SP-1085

Extend simulation of SKA-LOW station response with realistic receive path behaviour

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    • Data Processing
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      Stability and reproducibility of SKA-LOW station beam behaviour is hard to validate by actual measurements. A realistic simulation of station behaviour based on physical models of station components that can be / are validated by measurements would therefore be a valuable tool to assess station beam behaviour to be expected in practical conditions. Ultimately, this simulation could be used to build confidence that SKA-LOW satisfies its science requirements.

      Show
      Stability and reproducibility of SKA-LOW station beam behaviour is hard to validate by actual measurements. A realistic simulation of station behaviour based on physical models of station components that can be / are validated by measurements would therefore be a valuable tool to assess station beam behaviour to be expected in practical conditions. Ultimately, this simulation could be used to build confidence that SKA-LOW satisfies its science requirements.
    • Hide
      • Scripts to generate realistic receive path gains as function of time and frequency including the effect of variations across receive paths.
      • Integration / linkage of these scripts with the SKA1-LOW beam model based on EEP simulations.
      • Scripts to compute intra-station visibilities as well as the station beam including the imperfections introduced.
      Show
      Scripts to generate realistic receive path gains as function of time and frequency including the effect of variations across receive paths. Integration / linkage of these scripts with the SKA1-LOW beam model based on EEP simulations. Scripts to compute intra-station visibilities as well as the station beam including the imperfections introduced.
    • 2
    • 2
    • 5.5
    • Team_SCHAAP
    • Sprint 5
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      This feature has resulted in a Matlab script and supporting functions to generate a receive path gains based on the model described on https://confluence.skatelescope.org/display/TDT/Signal+Chain+Behavioural+Modeling. This page also provides a link to a zip-archive containing the code. The zip-archive also contains functions to calculate full-polarisation station beams and intra-station visibilities, which can either include the gain distortions or emulate a perfectly calibrated system. These functions als take into account the EEPs of the SKALA4AL antennas as simulated by Paola di Ninni and Pietro Bolli.

      Show
      This feature has resulted in a Matlab script and supporting functions to generate a receive path gains based on the model described on https://confluence.skatelescope.org/display/TDT/Signal+Chain+Behavioural+Modeling . This page also provides a link to a zip-archive containing the code. The zip-archive also contains functions to calculate full-polarisation station beams and intra-station visibilities, which can either include the gain distortions or emulate a perfectly calibrated system. These functions als take into account the EEPs of the SKALA4AL antennas as simulated by Paola di Ninni and Pietro Bolli.
    • 8.2
    • Stories Completed, Outcomes Reviewed, NFRS met, Satisfies Acceptance Criteria
    • PI22 - UNCOVERED

    • Team_SCHAAP

    Description

      Key stakeholders: LOW TDT (d.haydenm.waterson, m.labate) and System Scientist (r.laing).

      As explained in SP-908, it is desirable to have scripts and associated data sets available to simulate the response of a single station based on realistic behaviour of station components to support work to better understand and assess the calibratability of SKA1-LOW. Ticket SP-908 identifies a sequence of MVPs towards this end. By the completion of SP-801, the first MVP has effectively been realised. The aim of this ticket is to realise the second MVP, one that integrates a realistic response of the individual receive paths in the simulation of the station response.

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                d.hayden Hayden, Daniel
                s.wijnholds Stefan Wijnholds
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                Feature Progress

                  Story Point Burn-up: (100.00%)

                  Feature Estimate: 2.0

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                  Complete49.0
                  Total49.0

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