What happens right now
At this time, when we process observations in batches to create night and multi-night (project) co-adds, the system does not use any observation that has been marked as bad in the OMP obslog (observations are good by default). In the case where only one sub-system is bad (for example in the SCUBA-2 case of the 450 being good and the 850 being marked bad) both observations are excluded. Questionable and rejected observations are included in the co-add.
People who are able to set an observation's status to BAD include JAC staff, the active observer at the telescope and the data owners (PIs and co-Is associated with the project). We track who changes the status of an observation, and people are encouraged to leave an explanatory comment as to why they did so.
In the near term
The problem is right now that we do not have enough eyeballs to look closely at the S2SRO data and assess whether every observation is good. In the near term, we know people are inspecting their data and really would like the data owners to take the time to mark an observation as bad in their OMP project pages. Then you can either ask for your products to be re-generated right away, or wait for the next re-processing run (SCUBA-2 data is being reprocessed frequently as the data reduction pipeline improves).
I also think that rejected observations (those that are technically good, but failed to meet a survey's particular QA criteria) should be excluded from the aggregate products - this is an issue we will take up with the surveys.
This is how you can mark your observation as bad when you are not at the JAC:
[In this example, let's say we have already identified that we don't want observation 68 taken on UT 2010-03-06 included in our aggregate products. For the impatient: OMP home page -> Access a project -> Pick your UT date -> Click on Comment]
The real plan
Obviously the current state of affairs is sub-optimal. The two major improvements that are planned in observation quality are:
- Allow individual sub-systems to be marked as bad, rather than throwing the baby out with the bathwater. The problem with this is that obslog (which long predates archive processing) only understands the observation level, and so there are significant OMP infrastructure changes that need to be made to allow this.
- Develop an interface between ORAC-DR and obslog that will allow the pipeline itself to mark observations as bad (not surprisingly, the most sure-fire to find bad observations is to read what ORAC-DR is telling you).
If you zoned out reading the above:
If you find bad observations in your data, take the time to mark them as bad in your project web pages. Watch the video to find out how.
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