Documentation for Data Products

Data Handbooks

The Guest Observer (GO) Data Handbooks describe data products, processing steps, calibration procedures, and known issues.

EXES [pdf]
FIFI-LS [pdf]
HAWC+ [pdf]

Cookbook Recipes

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]
Utilizes Level 2 two-dimensional images to plot the aperture and do a simple custom extraction using a different aperture.
III. Basic Line Analysis [link]
Includes minor "cleaning" of the LEVEL_3 data and then some basic emission line analysis including continuum fitting and subtraction, line flux measurement, and simple line fitting.

HAWC+ Data Recipe with 30 Doradus Publicly Available SDDT Data [link]
Associated white paper: SOFIA Community Science IHAWC+ 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 SPectrum 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.

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