Template recipes are provided for most common data processing tasks, including analyses of calibration data and science data. In many cases, to reduce your data you just need to select the relevant FITS files and choose which template recipe should be applied (or, for common tasks, the Data Parser may automatically select the right template for you).
For convenience, template recipes are divided into several different reduction types:
These different types just provide a convenient way of restricting which subset of templates are displayed on screen to choose from, based on the recipes that are most likely to be of use for the data at hand. 
Quicklook Automatic Datacube Extraction is used for real-time reductions while operating the instrument. It produces decent quality datacubes without doing the full calibration process
Create Clean 2D Detector Image cleans up detector artifacts (dark subtraction, bad pixel repair, etc) but stops before making a datacube
Simple Datacube Extraction Currently identical to the Quicklook Automatic Datacube Extraction, but future versions will include a flexure corretion, a more thorough noise detector noise reduction, improved extraction algorithm, and a persistence correction
Calibrated Datacube Extraction Aimed at performing a science-grade, flux-calibrated, WCS included, data reduction.
Contrast Measurement Used to obtain a contrast measurement and evaluate AO performance. This same calculation can also be performed using GPItv
Simple Extraction, ADI+SSDI reduction Performs simple reduction and an ADI+SSDI reduction. This recipe requires testing with on-sky data before being ready for regular use.
Simple Extraction, ADI+LOCI reduction Performs simple reduction and an ADI+LOCI reduction. This recipe requires testing with on-sky data before being ready for regular use.
Rotate and combine extended object For a simple extraction and ADI reduction of extended objects
Quicklook Automatic Polarimetry Extraction is used for real-time reductions while operating the instrument. It produces decent quality datacubes without doing the full calibration process
Simple Polarization Datacube Extraction Performs similar extraction to the Quicklook extraction but future versions will include a flexure corretion, a more thorough noise detector noise reduction, improved extraction algorithm, and a persistence correction
Basic Polarization Sequence performs a basic reduction and computes the Muller matrix, rotates the image such that north is pointed up.
Calibration Recipes are discussed in more detail in the Step-by-Step guide to processing data sections.
This is a section for template recipes that are used in testing and debugging the pipeline itself. There are several recipes of this type. Don’t try to use these for science reductions directly.
|||But that said, there is nothing stopping you from choosing to apply a Calibration type template to your science data, or vice versa, if for some reason you wish to do so.|