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  1. Data Management
  2. DM-9001

Find & archive José Garmilla's S/G separation code

    Details

    • Type: Story
    • Status: Done
    • Resolution: Done
    • Fix Version/s: None
    • Component/s: None
    • Labels:
      None

      Description

      As part of his PhD thesis work on HSC, José Garmilla produced a star-galaxy classifier and associated supporting code. He has now left the field: we should ensure that his code is not abandoned.

      On this ticket, please:

      • Track down José's code and any associated documentation;
      • Make it available in a repository in the lsst-dm organization.

      No changes to the code are required.

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          Activity

          Hide
          swinbank John Swinbank added a comment -

          Vishal Kasliwal [X]: You've marked this as "in review", but provided no details on the ticket of what's happened or provided links to code on GitHub for review. Please do that, then send it back when there's actually something here that needs reviewing.

          Show
          swinbank John Swinbank added a comment - Vishal Kasliwal [X] : You've marked this as "in review", but provided no details on the ticket of what's happened or provided links to code on GitHub for review. Please do that, then send it back when there's actually something here that needs reviewing.
          Hide
          vpk24 Vishal Kasliwal [X] (Inactive) added a comment - - edited

          Yea, sorry!

          Jose's code has been tracked down - it consists of 3 repositories:

          1. sgs: Python script for matching HSC data to the HST truth catalog, some input data files, Jose's dissertation, and an example of the SQL queries that should be run on the HSC server. It is located at https://github.com/lsst-dm/sgs

          2. sgsupervised: Has the bulk of the code including a script that define the separator (dGauss.py), the code that does the training (supervisedEtl.py), and a script that makes useful plots (plotsScript.py) amongst others. the repository is located at https://github.com/lsst-dm/sgsupervised

          3. fsbutler: Code that reads in HSC data, essentially an alternative butler implementation. It is located at https://github.com/lsst-dm/sgs-fsbutler

          As requested, the code and all associated documentation has been tracked down and added to repositories on lsst-dm.

          Show
          vpk24 Vishal Kasliwal [X] (Inactive) added a comment - - edited Yea, sorry! Jose's code has been tracked down - it consists of 3 repositories: 1. sgs: Python script for matching HSC data to the HST truth catalog, some input data files, Jose's dissertation, and an example of the SQL queries that should be run on the HSC server. It is located at https://github.com/lsst-dm/sgs 2. sgsupervised: Has the bulk of the code including a script that define the separator (dGauss.py), the code that does the training (supervisedEtl.py), and a script that makes useful plots (plotsScript.py) amongst others. the repository is located at https://github.com/lsst-dm/sgsupervised 3. fsbutler: Code that reads in HSC data, essentially an alternative butler implementation. It is located at https://github.com/lsst-dm/sgs-fsbutler As requested, the code and all associated documentation has been tracked down and added to repositories on lsst-dm.
          Hide
          vpk24 Vishal Kasliwal [X] (Inactive) added a comment -

          Hi - could you please take another look at the review?

          Show
          vpk24 Vishal Kasliwal [X] (Inactive) added a comment - Hi - could you please take another look at the review?
          Hide
          swinbank John Swinbank added a comment -

          Looks good, thank you.

          Show
          swinbank John Swinbank added a comment - Looks good, thank you.

            People

            • Assignee:
              vpk24 Vishal Kasliwal [X] (Inactive)
              Reporter:
              swinbank John Swinbank
              Reviewers:
              John Swinbank
              Watchers:
              John Swinbank, Vishal Kasliwal [X] (Inactive)
            • Votes:
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              Watchers:
              2 Start watching this issue

              Dates

              • Created:
                Updated:
                Resolved:

                Summary Panel