NIFS Python data reduction pipeline

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This topic contains 1 reply, has 2 voices, and was last updated by  jturner 2 years, 3 months ago.

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  • June 17, 2015 at 8:02 pm #919

    mrlb05
    Moderator

    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 !

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    Attachments:
    1. nifs_pipeline_june_2015.pdf
    2. nifr_pipeline_june2015.tar.gz
    June 18, 2015 at 4:03 pm #922

    jturner
    Keymaster

    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.

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