.. _radcube:

radcube
========

**Maintainer:** Alan Coleman <alanc@udel.edu>

.. toctree::
   :maxdepth: 1

   release_notes

-----

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 :ref:`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.


.. rubric:: Table of Contents

.. toctree::
   :maxdepth: 2

   data_reading
   modules
   python_radcube
   tutorial
   coordinate_sys
   antenna_equations
   antenna_gains
   star_interpolation
   radcube_tables