Details
-
Type:
Story
-
Status: Done
-
Resolution: Done
-
Fix Version/s: None
-
Component/s: afw
-
Labels:
-
Story Points:8
-
Epic Link:
-
Sprint:Alert Production X16 - 04
-
Team:Alert Production
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.
Attachments
Issue Links
Activity
Field | Original Value | New Value |
---|---|---|
Epic Link |
|
Assignee | John Swinbank [ swinbank ] | John Parejko [ parejkoj ] |
Resolution | Done [ 10000 ] | |
Status | To Do [ 10001 ] | Done [ 10002 ] |
Assignee | John Parejko [ parejkoj ] | Russell Owen [ rowen ] |
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?