A Python-driven PyRAF data reduction pipeline for the Gemini Near-InfraRed Spectrograph (GNIRS).
Full documentation: ReadTheDocs.
This is a new data reduction Python pipeline, currently under development, that uses Astroconda and the Gemini IRAF Package to reduce GNIRS data. It will offer a complete data reduction process from sorting the data to producing a final flux calibrated and wavelength calibrated combined spectrum with the full S/N for a science target.
This pipeline is open source and it is supported via the Gemini Data Reduction User Forum.
Any feedback and comments (astephens@gemini.edu) are welcome!
For more details, please read the LICENSE.
Very important: do not submit a Gemini help desk ticket!
If you want to report a problem please create an issue in the github repo or use the Gemini Data Reduction Forum.
Make sure you have the latest version of Gemini Astroconda installed, have activated an Astroconda environment and have set up PYRAF. You can find instructions for installing Astroconda here. PYRAF can be set up by running the mkiraf command in your "~/iraf" directory.
This section is to be updated.
This section is to be updated.
This section is to be updated.
See the LICENSE file in the current directory.