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  1. SAFe Program
  2. SP-733

Yandasoft Regularised Bandpass Solver - robustness to spectral gaps

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      The work is important in the context of SKA-scale MPC and the applicability of the YANDA constrained solver to expected bandpass calibration issues.

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      The work is important in the context of SKA-scale MPC and the applicability of the YANDA constrained solver to expected bandpass calibration issues.
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      Extension of the Laplacian smoothing approach to handle gaps in spectra caused.

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      Extension of the Laplacian smoothing approach to handle gaps in spectra caused.
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    • Team_YANDA
    • Sprint 3
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      see ticket YAN-278 for a discussion of solver robustness in the presence of spectral gaps

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      see ticket YAN-278 for a discussion of solver robustness in the presence of spectral gaps
    • 8.5
    • Stories Completed, Outcomes Reviewed, Demonstrated, Satisfies Acceptance Criteria

    • PI22 - UNCOVERED

    • Jacal Team_YANDA demo_6.3 goal_D3

    Description

      This feature will test the scientific performance of the YANDASoft constrained calibration solver. The robustness of the Laplacian smoothing constraints described in --YAN-189-- to gaps in spectra caused by broad-band RFI will be demonstrated using ASKAP data.

      Some example ASKAP bandpasses with RFI gaps are shown below.
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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-616 Improve Sparse Matrix Support in Yandasoft Regularised Solver

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                b.nikolic Nikolic, Bojan
                d.mitchell Mitchell, Daniel
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                Feature Progress

                  Story Point Burn-up: (100.00%)

                  Feature Estimate: 1.0

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                  Complete28.0
                  Total28.0

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