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We want to reprocess the AstroDrizzle (and thus the pngs) for the IR inputs, to get rid of the swiss-cheese-esque black blobs. AstroDrizzle's creating them because those pixels are somewhat degraded, …
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AstroDrizzle removes the `DATE-OBS` keyword from its output files, and we need that information for our database. The easiest thing to do is to use my `get_metadata()` function to reinsert it in `run_…
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Now that the alpha CosmoQuest-preserving release has been made, and once the revise_PNG branch is merged into master, (Ticket #144), I'll create a new branch `remove-center`. In this branch I'll get r…
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We need to change the naming conventions of our files to match those desired by MAST, as specified [here](https://archive.stsci.edu/hlsp/hlsp_guidelines.html). We'll need to make some kind of choice r…
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Once `add_metadata` is merged into `master` (Ticket #127), we can run CR rejection, but not Astrodrizzle or the png processing, on our entire archive. First, we need to get an estimate for how long th…
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Since the pipeline needs to discriminate on the basis of a at least a FITS image's instrument and camera, we need to extract those cards from the header. The natural place to do this is in `imaging_pi…
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Now that you've created some metrics that allow us to track the performance of the WFPC2 pipeline we should look at paralleling it. This SO question gives a good overview of the available options usin…
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We should figure out to what degree the readnoise and gain varies amongst the 4 amplifiers on ACS and WFC3. Knowing that, we can better implement a scheme to grab the most pertinent value out of the h…
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Using the outputs of `check_file_completeness.py` as a metric, run the `run_imaging_pipeline.py` script until there are no remaining missing files.
The first step in this process is just to get the s…
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The png creation is a time-consuming step in the pipeline. We should see what we can make faster about it.
First, I'll change the functions called within a class's methods to be the methods themselve…