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  1. SAFe Program
  2. SP-2949

Refine the detection tolerances in automated tests of SPS within the PSS testing framework

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    • Enabler
    • Could have
    • PI18
    • COM PSS SW
    • None
    • Data Processing
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      Improves the automated SPS pipeline testing through the product testing framework (protest), by linking detected and expected single pulse candidates.

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      Improves the automated SPS pipeline testing through the product testing framework (protest), by linking detected and expected single pulse candidates.
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      A document describing the tolerances that will be used in the testing framework, and the assumptions and boundary conditions that were used to reach those tolerances. 

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      A document describing the tolerances that will be used in the testing framework, and the assumptions and boundary conditions that were used to reach those tolerances. 
    • 1
    • 1
    • 0
    • Team_PSS
    • Sprint 5
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      We suggest to use:

      • DM tolerance = +/- 1 DM step from DM plan
      • Width tolerance = +/- half a convolution width used in SPDT
      • S/N tolerance calculated from the radiometer equation and effective pulse width from DM smearing.

      Analysis and plots of Matlab detections can be found in this document:
      https://docs.google.com/document/d/1O4-iz8HMuCirvJJgRSHQf49UdH557kqc79waKCED310/edit?usp=sharing

      Show
      We suggest to use: DM tolerance = +/- 1 DM step from DM plan Width tolerance = +/- half a convolution width used in SPDT S/N tolerance calculated from the radiometer equation and effective pulse width from DM smearing. Analysis and plots of Matlab detections can be found in this document: https://docs.google.com/document/d/1O4-iz8HMuCirvJJgRSHQf49UdH557kqc79waKCED310/edit?usp=sharing
    • 19.1
    • Stories Completed, Outcomes Reviewed, Satisfies Acceptance Criteria, Accepted by FO

    • PI22 - UNCOVERED

    Description

      Follow-up work after SP-2808, where we have tested the SPS pipeline with SKA-sized test vectors for the first time.
      The thresholds in the PSS single pulse search (SPS) pipeline of the PSS testing framework are refined based on a statistical analysis in the Matlab 'gold standard' model of SPS.

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                A.Noutsos Noutsos, Aristeidis
                L.Levin-Preston Levin-Preston, Lina
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                Feature Progress

                  Story Point Burn-up: (100.00%)

                  Feature Estimate: 1.0

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