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  1. Data Management
  2. DM-14118

Create Jupyter notebook summarizing cModel config results

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    • Story Points:
      2
    • Epic Link:
    • Sprint:
      DRP S18-5, DRP S18-6
    • 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.

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            yusra Yusra AlSayyad added a comment -

            The description says you'll post the notebook and results in a github repo. Will you link those results please?

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            yusra Yusra AlSayyad added a comment - The description says you'll post the notebook and results in a github repo. Will you link those results please?
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            dtaranu Dan Taranu added a comment - The notebook: https://github.com/lsst-dm/modelling_research/blob/master/jupyternotebooks/lsst_cmodel_configs.ipynb The results are summarized in DM-14172 .

              People

              Assignee:
              dtaranu Dan Taranu
              Reporter:
              dtaranu Dan Taranu
              Reviewers:
              Yusra AlSayyad
              Watchers:
              Dan Taranu, Yusra AlSayyad
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