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  1. DRP 2-D Pipeline
  2. PIPE2D-549

Investigating extraction of FRD from PSF using PCA decomposition

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    Details

    • Type: Story
    • Status: Done (View Workflow)
    • Priority: Normal
    • Resolution: Done
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: None
    • Labels:
      None
    • Sprint:
      2DDRP-2021 A

      Description

      Being able to evaluate FRD from an in-focus PSF would help streamline the data reduction process, but the accuracy with which such an extraction can be done is not well known. We wish to quantify the accuracy and precision with which FRD can be extracted; in this ticket, extraction based on PCA decomposition is considered.

        Attachments

        1. PCA2comp.png
          PCA2comp.png
          38 kB
        2. Align_4componentPCA_2D.png
          Align_4componentPCA_2D.png
          278 kB
        3. Align_2nd4th_Components.png
          Align_2nd4th_Components.png
          52 kB
        4. Align_2nd3rd_Components.png
          Align_2nd3rd_Components.png
          47 kB
        5. 4componentPCA_2D.png
          4componentPCA_2D.png
          326 kB
        6. 2nd4th_Components.png
          2nd4th_Components.png
          43 kB
        7. 2nd3rd_Components.png
          2nd3rd_Components.png
          42 kB

          Issue Links

          relates to

          Story - Created by Jira Software - do not edit or delete. Issue type for a user story. PIPE2D-627 Characterize changes in FRD from near-focus or in-focus images

          • Normal - Normal priorities
          • In Progress

          Story - Created by Jira Software - do not edit or delete. Issue type for a user story. PIPE2D-563 Sub-pixel Interpolation of PSF image for analysis of FRD

          • Normal - Normal priorities
          • Done

            Activity

              People

              • Assignee:
                bbelland Brent Belland
                Reporter:
                bbelland Brent Belland
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                Dates

                • Created:
                  Updated:
                  Resolved: