Details
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Type:
Epic
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Status: Done
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Resolution: Done
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Fix Version/s: None
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Component/s: ip_diffim
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Labels:
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Epic Name:Implement experimental DCR correction
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Story Points:54
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Sprint:Alert Production X16 - 04, Alert Production X16 - 5
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WBS:02C.03.04
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Team:Alert Production
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Cycle:Fall 2016
Description
After the discussion about DCR, a few avenues for dealing with DCR were enumerated. It was found that using imaging to model the DCR could be a very fruitful approach. Nate Lust has suggested an algorithm that performs well in simplified, one-dimensional systems.
This epic is to extend this algorithm to 2-dimensions and add realistic SEDs, bandpasses, etc. The result will be an implementation of the algorithm applied to the simulated data. With measurements of how well it corrects for DCR in the context of image differencing.
Attachments
Issue Links
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6 | Ian Sullivan | Done | |
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6 | Ian Sullivan | Done | |
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8 | Ian Sullivan | Done | |
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6 | Ian Sullivan | Done | |
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2 | Ian Sullivan | Done | |
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2 | Ian Sullivan | Done | |
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2 | Ian Sullivan | Done | |
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2 | Ian Sullivan | Done | |
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2 | Ian Sullivan | Done | |
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4 | Ian Sullivan | Done | |
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6 | Ian Sullivan | Done |
Activity
Ian Sullivan I think we agreed this was done. Let me know if that's not right.
Yes, I agree.
As a clarification, this epic is to extend the 1-D toy model to a 2-D image, but with DCR only along one axis. The generalization to arbitrary rotation will be made in a future epic.