Details
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Type:
Story
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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: None
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Labels:None
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Story Points:15
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Epic Link:
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Team:Data Release Production
Description
Our first guess at an adequate algorithm to meet the goals of DM-17490 is simply to identify n-sigma outliers, both positive and negative, in AuxTel and TS8 data. Implement that.
Attachments
Issue Links
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DM-17490 Identify defects in TS8 and AuxTel data
- Done
The code to do what is written in the description of the ticket—including modifications by Robert---can be found in:
/home/plazas/jhome/WORK/
DM-17490/FindDefects_may7.ipynbIt runs with w_2019_18 setup. I attach a copy of the code as of today, for convenience.
FindDefects_may7.py