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  1. Data Management
  2. DM-5703

Evaluate performance of AST/GWCS over a range of numbers of pixels

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    • Type: Story
    • Status: Done
    • Resolution: Done
    • Fix Version/s: None
    • Component/s: afw

      Description

      Once we have a composite distortion model from DM-5701, evaluate the performance of AST and GWCS over a range of numbers of pixels, likely from ~100 through full-CCD (4k^2).

      As part of this process, we will try to determine whether there is a way to efficiently warp images/postage stamps using python-only models in GWCS and whether bottlenecks could be worked around via optimizations in cython.

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          blocks

          Story - Created by Jira Software - do not edit or delete. Issue type for a user story. DM-4157 Provide a recommendation for how to manage Wcs in LSST

          • Done
          is blocked by

          Story - Created by Jira Software - do not edit or delete. Issue type for a user story. DM-5701 Create toy composite (AST/GWCS) model with supported components

          • Done
          relates to

          Story - Created by Jira Software - do not edit or delete. Issue type for a user story. DM-4155 LSST Wcs requirements document

          • Done

          Story - Created by Jira Software - do not edit or delete. Issue type for a user story. DM-4156 Evaluate existing Wcs libraries and report on our options

          • Done

          Story - Created by Jira Software - do not edit or delete. Issue type for a user story. DM-5702 Create a new model in AST/GWCS to represent a complex distortion

          • Done

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            Parejkoj John Parejko added a comment -

            An important part of this performance evaluation is knowing the required astrometric accuracy for level 1 processing. Could we achieve the necessary accuracy with locally-linear approximations, or a post-fit simplified polynomial, as a way to reduce processing requirements?

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            Parejkoj John Parejko added a comment - An important part of this performance evaluation is knowing the required astrometric accuracy for level 1 processing. Could we achieve the necessary accuracy with locally-linear approximations, or a post-fit simplified polynomial, as a way to reduce processing requirements?
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            rowen Russell Owen added a comment -

            Implemented as part of DM-5701

            PyAST is much faster than GWCS, at least until we get to very large numbers of points.

            We have decided against trying to implement warping (astrometric resampling) in Python because it is complex code and is unlikely to be fast enough.

            Show
            rowen Russell Owen added a comment - Implemented as part of DM-5701 PyAST is much faster than GWCS, at least until we get to very large numbers of points. We have decided against trying to implement warping (astrometric resampling) in Python because it is complex code and is unlikely to be fast enough.

              People

              Assignee:
              rowen Russell Owen
              Reporter:
              Parejkoj John Parejko
              Watchers:
              John Parejko, Russell Owen, Tim Jenness
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