More fun with all-sky HI data. The radial distance here is velocity, not real distance, hence the weird-looking structures. Colour is scaled based on the flux range in each velocity channel, so you see a lot more structure than in the earlier versions.
Might try another attempt at converting this to true distance, but my spare time is pretty close to zero for the next couple of weeks.
These experiments you post are always neat to see. Can you explain a little bit about the software and what you're doing?
ReplyDeleteRhys Taylor okay I'm going to recap and let me know if I'm understanding this correctly :)
ReplyDeleteSo you're taking 2D images of the observable hydrogen in the universe...and the frequency of the "slices" of the hydrogen sky is used to determine "distance"...then based on that "distance", you map the 2D image into a series of transparent spheres in blender?
How many spheres/images are there in an animation like this?
Christopher Butler That's about the long and short of it, yes. In this case there are 300 spheres.
ReplyDeleteRhys Taylor well that's extremely cool, sir. I particularly like the idea that this kind of mapping can be used with things like MRI data. The banana flower was pretty cool too. Heh.
ReplyDeleteChristopher Butler Thanks ! It's been years of work at this point, about 11,000 lines of code, just because I wanted to see the data in 3D :P Though really most of that is dealing with astronomy specific stuff. The core viewing code, which can work with any sort of image sequence at all, is probably less than 500 lines.
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