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New Cookbook Recipes Released
The Cookbooks Recipes contain guided examples of common data analysis objectives using SOFIA processed data. They are written for a graduate student audience and are intended to be used with the Data Handbooks. The Cookbook Recipes and Data Handbooks are located on the Data Resources webpage.
SOFIA currently has the following Cookbook Recipes available:
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
Python tutorial on plotting and analyzing data
II. Custom Spectral Extraction
Tutorial utilizing Level 2 two-dimensional images produced by the FORCAST pipeline
III. Basic Line Analysis
HAWC+ Data Recipe with 30 Doradus Publicly Available SDDT Data
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
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
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.