This topic contains 2 replies, has 3 voices, and was last updated by 
achene 1 year, 1 month ago.
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Please find attached a new data reduction python pipeline that uses the GEMINI IRAF package to reduce NIFS data. It is offers that complete data reduction process from sorting the data to producing a final combined flux calibrated and wavelength calibrated cube with the full S/N for a science target.
The June 2015 version is the first version and do still has a few bugs but I think the pipeline is ready at least to produce useful data for science analysis.
Any feedback and comments (mbusserolle@gemini.edu) are welcome !Great, this looks like it could be very useful :-). From a quick glance, it seems a good example of where Python can help make more of our existing software by dealing with a lot of the logistics (same issues I have in mind).
What you’ve uploaded seems to be a tar file (with no .tar) inside a tar file? I have to run tar on it twice to get the files out. You might want to re-generate that tarball to avoid confusion.
I’ve been kicking around a bit of code myself to make it easier and more concise to write this kind of Python wrapper/hybrid. At some point (not just yet) it would be good to iterate with other users on what’s in common & how to make it most productive.
Cheers,
James.
The pipeline can now be downloaded from GitHub!
https://github.com/mrlb05/Nifty4Gemini
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