Thanks for the links Todd, I sure like the idea of the hyperspectral camera...
With my low resolution datacube ask I'd like to test the feasibility of a CTIS (computed tomography imaging spectrometer). The main idea is that you spread the spectrum across 2 axes, including the -1,0,1 orders on both axes, and then each pixel becomes a sum of calculable frequencies, which you solve for. I feel like it should be extremely simple and cheap to make given it's basically a field stopped re-imager with a 2d diffraction grating in the collimated section.
I made a very simple Excel sheet to model the parameters to find spectral and spatial resolution and field size. I played around with some quick numbers to see what you could get on my imaging sensors with the cheap plastic gratings you can get on ebay, and it looks like I could get a R=500-1000 or so for each pixel of a 5'x5' fov.
Sounds pretty neat anyway. Because you get 9 images in the shot you could probably dither the data for higher spectral and spatial resolution.
For simulating in the raytracer, I was just going to add an image based ray source and pretend it's like an infinitely far patch of sky... then fire in the whole datacube a bunch of times and see what happens, lol! :D