Issues and Limitations

Missing Processed Dark Calibration Association Rules

GNIRS not being an imager, and the keyhole being normally used only for acquisition, it turns out that there are no calibration association rules between GNIRS keyhole images and darks. This is recently discovered limitation that we plan to fix in a future release. In the meantime, the user can simply specify the dark on the command line as shown in the previous chapter in the Bypassing automatic calibration association section.

Memory Issues

Some primitives use a lot of RAM memory and they can cause a crash. Memory management in Python is notoriously difficult. The DRAGONS’s team is constantly trying to improve memory management within astrodata and the DRAGONS recipes and primitives. If an “Out of memory” crash happens to you, if possible for your observation sequence, try to run the pipeline on fewer images at the time, like for each dither pattern sequence separately.

Then to align and stack the pieces, run the alignAndStack recipe:

$ reduce @list_of_stacks -r alignAndStack

For GNIRS, this issue is very rare given that the GNIRS detector is fairly small and also rarely used for imaging, but it could happen when trying to reduce a very large number of frames in one go.

Double messaging issue

If you run Reduce without setting up a logger, you will notice that the output messages appear twice. To prevent this behaviour set up a logger. This will send one of the output stream to a file, keeping the other on the screen. We recommend using the DRAGONS logger located in the logutils module and its config() function:

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from gempy.utils import logutils
logutils.config(file_name='gnirs_tutorial.log')