Details
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Feature
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Could have
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None
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Data Processing
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3
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3
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0
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Team_YANDA
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Sprint 5
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This feature adds further ionospheric calibration routines to better constrain phase screens. It improves upon current solvers by exploiting the clustering of stations to further constrain the ionosphere above the station apertures.
This is demonstrated with notebooks that compare the clustered station method with the station only calibration schemes.
The AC for this feature are
AC 1 The ska-sdp-func-python package is available and uses standard ska-sdp-datamodels data models.
These are added by https://gitlab.com/ska-telescope/sdp/ska-sdp-func-python/-/merge_requests/33
AC 2 A demonstration of algorithm performance and a comparison against antenna-based phase calibration.
This is demonstrated using python notebooks attached to tickets:
- yan-1288.ipynb
Demonstrate solver with complex sky models - yan-1312.ipynb Demonstrate solver in a peel loop
- yan-1326.ipynb Compare to antenna based calibration
This feature adds further ionospheric calibration routines to better constrain phase screens. It improves upon current solvers by exploiting the clustering of stations to further constrain the ionosphere above the station apertures. This is demonstrated with notebooks that compare the clustered station method with the station only calibration schemes. The AC for this feature are AC 1 The ska-sdp-func-python package is available and uses standard ska-sdp-datamodels data models. These are added by https://gitlab.com/ska-telescope/sdp/ska-sdp-func-python/-/merge_requests/33 AC 2 A demonstration of algorithm performance and a comparison against antenna-based phase calibration. This is demonstrated using python notebooks attached to tickets: yan-1288.ipynb Demonstrate solver with complex sky models yan-1312.ipynb Demonstrate solver in a peel loop yan-1326.ipynb Compare to antenna based calibration - yan-1288.ipynb
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21.6
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Stories Completed, Integrated, Outcomes Reviewed, Satisfies Acceptance Criteria, Accepted by FO
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SDP-G2
Description
Who: SDP pipeline developers
What: A ska-sdp-func-python package that can supply the SKA-Low self-calibration pipeline (SP-3186) with additional phase shift measurements across the field of view, to better constrain ionospheric phase screens. This feature is contributing to AA2-scale development of the pipeline.
Why: The software is an extension of a calibration approach used with MWA data, which was demonstrated in an earlier PI. The main difference compared to standard calibration is that it fits for low-order dTEC variations across the aperture (or across station clusters), instead of antenna-based phase shifts. While this may probe ionospheric delays across the array with lower spatial resolution than antenna-based parameters, the large increase in data points per model parameter means that fainter radio sources can be used as calibrators, increasing the sampling across the field of view.
Attachments
Issue Links
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