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This document graphically describes the data reduction process, following the reduction of a complete dataset to a publishable result, and includes a Phoenix IRAF package containing tasks to speed along the data reduction process. It documents a method of data reduction which is robust and highly optimized for getting the most from Phoenix data. It is certainly not the only way, but it should save you a lot of time. If you find a way to improve the techniques provided here, I want to know!
It is designed to complement the NOAO data reduction exercise, which nicely covers general aspects of spectroscopic reduction in IRAF, but not the more specific issues of IR data reduction as pertains to Phoenix data. For example, successful reduction of pre-2001 Phoenix data (with the old Aladdin I array) critically hinges upon careful bad pixel rejection and image combination, which isn't discussed at all.
This exercise uses a basic installation of IRAF, the Image Reduction and Analysis Facility (some say, It Reeks And Fumes), although new reduction pipelines that operate independently of IRAF (using PDL and Python) are in development. Until such pipelines are completed, basic IRAF functionality is necessary.
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