radcube¶
Maintainer: Alan Coleman <alanc@udel.edu>
Overview of the project¶
The radcube project includes all of the data classes, mathematics, constants, back end, modules, etc. to read in, augment, plot, etc. surface-radio data. One of the unique features of the radcube project is the use of Fourier Transforms, or more specifically, Fast Fourier Transforms (FFTs) also known as Discrete Fourier Transforms (DFTs). This is because while some of the analysis is performed in the time domain, the techniques required for measurements inherently requires heavy use of the Fourier domain. Where applicable, data classes that are generic to icetray are reused. However, the requirement for the heavy use of complex numbers within this project requires a number of low-level classes to be implemented.
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