The Starlink DATACUBE Package of which this cookbook forms a part, mainly consists of C-shell (csh) scripts layered on top of various pieces of the Starlink Software Collection (SSC). This approach was a deliberate design decision to allow the maximum amount of flexibility during data visualisation. Due to the relative lack of maturity in this still developing field, it is difficult to say exactly what visualisation tasks you may wish (or be required) to carry out to achieve the underlying science. While I (AA) have attempted to anticipate commonly required tasks, the implementation of the package in easily understandable, and modifiable, scripts allows you to make minor (or even major) changes to the way they behave, although most of the scripts already have command-line arguments which can modify their behaviour to some extent.
It is to be hoped that enough ground work has been done so that the
approach to solving your data visualisation or manipulation problem is
obvious, even if DATACUBE doesn't have a script or application to
exactly what you require. I would welcome comments, contributions and
corrections to the package since I have been very much aware while
compiling it my on lack of experience in this fast evolving field, and
my own biases. For instance, this document deals only briefly with
IRAF, while I am aware that there are IRAF applications
available that will deal with spectral data cubes, my own lack of
familiarlity with the IRAF package has lead to only spartan
coverage. Comments should be sent either to the authors at or to
the Starlink Software Librarian
ussc@star.rl.ac.uk .
The IFU Data-Product Cookbook