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  1. SAFe Program
  2. SP-2745

Pointing offset calibration pipeline

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    • Feature
    • Must have
    • PI17
    • COM SDP SW
    • None
    • Data Processing
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    • 3
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    • Team_ORCA
    • Sprint 5
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      Demo: at System Demo 17.6 (slides)

       

      AC1:

      We performed extensive investigation on existing software, and decided to base our pipeline around katpoint and SCAPE.

      We created a functionality diagram, which was discussed with the Feature Owner and System Scientists and which we have used to put the structure of the pipeline together.

      All the above investigation and discussions are documented on Confluence: See the sub-pages of https://confluence.skatelescope.org/display/SE/Pointing+Offset+Calibration

      The pipeline has been implemented and the code resides in a new repository called ska-sdp-wflow-pointing-offset, with its documentation at https://developer.skao.int/projects/ska-sdp-wflow-pointing-offset/en/latest/.

      End-to-end, manual, testing of the pipeline is documented at: https://confluence.skatelescope.org/display/SE/End-to-end+Testing+Of+Pointing+offset+pipeline

       

      AC2:

      We obtained MeerKAT data for testing. These have been uploaded to Google Drive, including a guide of how one can use these data sets: https://drive.google.com/drive/folders/1AoDR3pq0-DJvWAAD8ADTi-N3P2Dr0uKN

      Show
      Demo: at System Demo 17.6 ( slides )   AC1: We performed extensive investigation on existing software, and decided to base our pipeline around katpoint and SCAPE . We created a functionality diagram, which was discussed with the Feature Owner and System Scientists and which we have used to put the structure of the pipeline together. All the above investigation and discussions are documented on Confluence: See the sub-pages of https://confluence.skatelescope.org/display/SE/Pointing+Offset+Calibration The pipeline has been implemented and the code resides in a new repository called ska-sdp-wflow-pointing-offset , with its documentation at https://developer.skao.int/projects/ska-sdp-wflow-pointing-offset/en/latest/ . End-to-end, manual, testing of the pipeline is documented at:  https://confluence.skatelescope.org/display/SE/End-to-end+Testing+Of+Pointing+offset+pipeline   AC2: We obtained MeerKAT data for testing. These have been uploaded to Google Drive, including a guide of how one can use these data sets: https://drive.google.com/drive/folders/1AoDR3pq0-DJvWAAD8ADTi-N3P2Dr0uKN
    • 19.5
    • Stories Completed, Outcomes Reviewed
    • PI24 - UNCOVERED

    Description

      Introduction

      The SDP must calculate pointing offsets in near-real time following a reference pointing observation. This functionality is required for AA0.5 onward. The pointing offset is the difference between the actual pointing as determined by measurement with astronomical source  versus the expected pointing direction. It is measured on one source a time and may be applied as a "local" correction immediately or used for further analysis of the "global" pointing model.

       

      The aim of this feature is to develop an initial version of a pipeline capable of calculating pointing offsets for Mid Band 2, given the visibilities and the commanded/encoder position direction data as inputs. It is not required to be integrated into the SDP system; this will be implemented in a subsequent feature.

      The commanded sequence of telescope pointings used for the observation is often a simple five points in a cross pattern but will be specified by the commissioning team in just in case things like finite band, any hysterisis, settle times etc lead to a change in the usual pattern.

       

      Who?

      • SDP developers.
      • Commissioning scientists.

      What?

      • Pipeline to calculate pointing offsets for Band 2 given visibility data and nominal pointing as input.
      • Data sets suitable for testing the pipeline (most likely simulations).

      Why?

      • Begins development of an essential piece of SDP functionality required for Mid at AA0.5.

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                b.nikolic Nikolic, Bojan
                b.mort Mort, Ben
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                Feature Progress

                  Story Point Burn-up: (100.00%)

                  Feature Estimate: 3.0

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