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Jupyter notebooks for sharing DSA array status and data quality

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Jupyter notebooks for sharing DSA array status and data quality

Contents

  • calibration_template.ipynb: Example notebook for inspecting calibration solutions for a single visibility data set.
  • T2_template.ipynb: Example notebook for displaying heimdall output and buffer triggers.

Observer on Duty Instructions

  1. log in to dsa-storage using standard ssh config.
  2. run jupyter notebook list to find server for OoD.
  3. Paste notebook server URL into browser.
  4. Run template notebook for new day of data
  5. Save with name with date and push to github.

Notebook developer Instructions

  1. Create new notebook named "*_template.ipynb".
  2. Run analysis on a day of data
  3. Save, commit, and push template to github.

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