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  1. DRP 2-D Pipeline
  2. PIPE2D-354

Estimate high-order Zernike from defocused images

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    Details

    • Type: Task
    • Status: Done (View Workflow)
    • Priority: Normal
    • Resolution: Done
    • Affects Version/s: None
    • Fix Version/s: 6.0
    • Component/s: None
    • Labels:
      None
    • Story Points:
      10
    • Sprint:
      2019 B, 2DDRP-2019 C

      Description

      As discussed on the Monday morning meting (January 28, 2019, presentation here: https://github.com/nevencaplar/PFS_Work_In_Progress/blob/master/Presentations_And_Reports/MondayMorningJanuary282019.pdf), we identified the need to improve the fitting of defocused images. The defocused images (see example in CloseResiduals.png attached below) exhibit speckle behavior, with small scale residuals. This is probably due to insufficient modeling of the wavefront aberrations, i.e., not including high enough Zernike orders when describing the wavefront. Dependence of residuals could possibly be modeled with PCA analysis, but exact method needs to be investigated.

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          blocks

          Task - A task that needs to be done. PIPE2D-553 Estimate higher-order Zernike terms for large number of images

          • Normal - Normal priorities
          • Done
          relates to

          Task - A task that needs to be done. PIPE2D-555 Verify that adding higher-order Zernike from defocused images improves the focused image fit

          • Normal - Normal priorities
          • Open

          Task - A task that needs to be done. PIPE2D-394 Implement high-order Zernike estimates in the PSF estimation pipeline

          • Normal - Normal priorities
          • Done

            Activity

              People

              • Assignee:
                ncaplar ncaplar
                Reporter:
                ncaplar ncaplar
                Reviewers:
                hassan
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                Dates

                • Created:
                  Updated:
                  Resolved: