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Checklist for ALMA optimized imaging workflow:

  1. DA is notified by email when there is a new image dataset to review. The data are in /lustre/naasc/web/almapipe/pipeline/vaprod/image-qa Note: operations manager will still need to check the processing area for stalled or failed jobs. The initiator of any such jobs can be found in spool/<jobid>/metadata.json for contact by Helpdesk email if needed.
  2. QA: in the pilot, only channel widths and ranges can be set, so QA should be focused on those, along with general QA issues (note that casa and casaviewer are not in the default path for almapipe, they live in /opt/local/bin, so need to be invoked as e.g. /opt/local/bin/casaviewer):
    1. Was the restoration of the calibration successful?
    2. Is the continuum subtraction satisfactory (hif_findcont task)? If not, DA should pick a new continuum range and rerun (step 3 below), or consult with an SRDP Scientist if it is not clear how best to do this
    3. Does the rms noise in a line-free cube channel match the theoretical estimate from the hif_makeimages step in the pipeline (to within 10% above the theoretical estimate for bands 3-6, 15% for bands 7-8 and 20% for bands 9-10; but is no more than 20% better than the estimate)? If outside these ranges, DA should perform a limited investigation:
      1. Check the original QA2 report  in AQUA to see if any problems were reported there.
      2. In cases of dynamic range limits, is the dynamic range >200 (50 for 7m data)? If so the product may be marked as a QA pass, but the DA should note in the QA report that the user should attempt self-calibration.
      3. If there is bad target data, the DA should flag the bad data and rerun the PPR using the pipeline rerun script supplied by SSA.
      4. If neither of these is the case, or the RMS is more than 20% below the theoretical estimate, the DA should consult a scientist, and the data may be marked as QA fail (In the case of QA fail, products would not be ingested into the archive.)
    4. Are there artifacts in the image suggesting that target flagging is needed? If so, flag the data and rerun the PPR using the pipeline rerun script supplied by SSA.
    5. Does the cube as made cover the region of interest requested by the PI (in the PPR)? If large parts of the cube are blank, and/or a line is cut off at the edge of the cube the DA should consult with a scientist.
    6. Is the synthesized beam highly elliptical? (Axial ratio > 3:1). If so, check that this is not due to heavy flagging of the target. If flagging is the cause (and not the observing HA and Dec),  consult with a scientist as to whether or not the job should fail QA.
    7. Is the synthesized beam sufficiently well-sampled (>3 pixels across the minor axis)? If not, DA should rerun with a smaller pixel scale (and image size in pixels adjusted to image the same area) using the pipeline rerun script supplied by SSA.
    8. Check that the continuum images look sensible, compare theoretical to achieved RMS and note in the QA report (step 4) if any are dynamic range limited.
  3. To rerun a job, login as almapipe (ssh almapipe@localhost), set the appropriate environment (activate_profile naasc-test or vaprod depending on test vs production) modify the necessary files in the working directory (e.g. PPR.xml, cont..cat and/or flagtargetstemplate.txt) and run almaReimageCube -r <job id> <MOUS UID> e.g. almaReimageCube -r 320578787 uid___A002_Xe29133_X3610.
  4. Update the Google Spreadsheet with the QA state https://docs.google.com/spreadsheets/d/1USJ5rQRNbR3ORj80-UuEuqGnSYm4l6h_A6ac5s1FyJ0/edit#gid=0
  5. Run tar -xvzf on the tarred, gzipped weblog file in the products directory.
  6. Login as almapipe (if not already done so above). Write a short QA report suitable for transmission to the user using the attached template qa_notes.html and add this to the weblog html directory (as qa_notes.html). In the qa_comments section:
    • If the image failed QA, briefly give a reason.
    • Note any target flagging (on the level of antennas/spw).
    • Note any change to the continuum range(s).
    • Add any other comments (e.g. if the image is dynamic range limited and self calibration is recommended).
  7. Tar/gzip the weblog with the qa_notes added, e.g. tar cvzf uid___A001_X13d5_X224.hifa_cubeimage.weblog.tgz pipeline-20191021T185739 (this should overwrite the old weblog.tgz file).
  8. Initiate archive ingest of image products if they passed QA using the audiPass script, audiPass <job id> -E <your email> e.g. audiPass 320755390 -E pfisher@nrao.edu.
  9. Remove products/raw/working directory after data ingested successfully into the archive.
     

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