Future improvements

• I have developed a personal Python package that can be used to script GMOS IFU data reduction more efficiently than in CL:

  • Developer-orientated presentation: https://zenodo.org/record/50991
  • API documentation: http://ndmapper.readthedocs.io/en/latest
  • Software repository: https://github.com/jehturner/ndmapper

  (This pre-dates the recent AstroData re-write, which now looks quite similar to my DataFile class.)

  Most of the reduction steps are still Gemini IRAF wrappers at present, with a small number re-implemented in Python (mainly for cleaning cosmetics).

  This is what I’m now using for my own science projects … but 1. it’s not our official code, 2. it’s not trivial to set up everything needed (something I will address) and 3. some aspects (such as how to override calibration matches) are currently still a bit fiddly and would be difficult to explain until streamlined and documented better.

• The official Gemini Python pipeline should eventually support reduction of spectroscopic data (perhaps using a combination of Gemini IRAF wrappers and new Python code at first). I also hope to do more work on this soon…

  • Extraction of spectra and wavelength calibration are likely priorities for working with GMOS IFU data.