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: Data Release Production
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Labels:None
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Story Points:2
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Epic Link:
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Sprint:DRP S18-5, DRP S18-6
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Team:Data Release Production
Description
This notebook is to summarize the effects of changing the number of Gaussians in the initial fitting in the cModel task.
This includes running through the Jupyter workflow on lsst-dev, using the data butler, remembering how to process/plot data with Python and forgetting about R.
The notebook is currently at lsst-dev:/home/dtaranu/src/mine/cModelConfigs.ipynb and I will likely add it to a sensibly-named repository on lsst-dm.
Attachments
Issue Links
- is SS-depended by
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DM-14152 Investigate the spatial distribution of failed cModel fits
- Done
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DM-14168 Compare running times of cModel fits to individual objects with different parameters
- Done
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DM-14172 Optimize cModel config parameters
- Done
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DM-14150 Diagnose behaviour of cModel initial fits with varying numbers of components
- Won't Fix
The description says you'll post the notebook and results in a github repo. Will you link those results please?