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These documents provide simple "recipes" (i.e., descriptions and guided examples) for common data analysis objectives using SOFIA processed data. They are generally written for a graduate student audience and are intended to be used with the Data Handbooks.
FORCAST Photometry [pdf]
Performing aperture photometry using flux calibrated FORCAST images accessed through Flexible Image Transport System (FITS) files
FORCAST Grism Spectra Series:
I. Basic Inspection and Assessment [link]
Python tutorial on plotting and analyzing data
II. Custom Spectral Extraction [link]
Tutorial utilizing Level 2 two-dimensional images produced by the FORCAST pipeline
III. Basic Line Analysis [link]
HAWC+ Data Recipe with 30 Doradus Publicly Available SDDT Data [link]
Associated white paper: SOFIA Community Science I—HAWC+ Polarimetry of 30 Doradus [link]
Guides users through Python analysis techniques using the 30 Doradus dataset, teaching readers how to probe HAWC+ data cubes and learn basic analysis techniques—such as plotting Stokes parameters, error maps, and polarization vectors—to jump-start their own research.
FIFI-LS: Basic Cube Analysis using SOSPEX [link]
Basic spectroscopic cube analysis using the SOFIA python tool SPecturm Explorer (SOSPEX), which displays FIFI-LS and GREAT spectral cubes and allows the user to perform a number of basic analysis routines on them. The cube is shown as a 2D image (spatial image obtained as average along the wavelength dimension) and as a spectrum (sum of spatial pixels of the original cube).
GREAT: How to View GREAT Spectra Using CLASS Utility [link]
Finding a sample data set through modifying the baseline fit, averaging, and saving the result in a Flexible Image Transport System (FITS) file using the Continuum and Line Analysis Single-dish Software (CLASS) utility, the standard for single-dish heterodyne spectroscopy data reduction.
The Guest Observer (GO) Data Handbooks describe data products, processing steps, calibration procedures, and known issues.