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Robert Schulz edited this page Mar 13, 2019 · 32 revisions

Welcome to the dataqa wiki!

Scripts for data QA

Wrapper scripts for specific data QA should live at the top level. There are separate directories for scripts/code related to each type of data QA. E.g.

run_crosscalQA.py
crosscal
->ccal_plots.py

Procedure

  1. Initial setup

    1. Log-in to Happili-01

    2. Open a screen session (optional, but recommended)

      • Example: screen -S dataqa
    3. Clone the repository to your home

      • Example: git clone https://github.com/apertif/dataqa.git
    4. Go to the cloned directory (e.g., /home/<user>/dataqa)

    5. Run set_up_qa.py

      • Example: python set_up_qa.py <obs_id>
      • This will create the directory structure by default to /home/<user>/qa_science_demo_2019/<obs_id>
    6. Set environment for apercal (if not already done)

  2. Run crosscal qa

  3. Run selfcal qa

  4. Run continuum qa

  5. Run line qa

  6. Run mosaic qa

  7. Put relevant information into Google-Doc

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