The ANU micro-CT facility houses several X-ray micro-tomography systems that have been designed and built in-house. The systems use a broad spectrum of X-ray energies for imaging (a.k.a. polychromatic radiation). We have the ability to coarsely tune this spectrum by varying the accelarating voltage of the electron beam in the X-ray source [this determines the maximum X-ray energy] and by filtering the beam with various materials [this removes more or less of the low energy X-rays].
When imaging a (biological, geological,paleontological,...) specimen of interest, the variation in X-ray attenuation over different energy ranges can tell us a lot about its composition. To date the ANU facility makes no use of this fact and simply works with the "average" attenuation data over the spectrum used for imaging.
This project involves firstly determining the spectral "bands" over which we can image at our facility and how to achieve them. Specific applications suited to these bands produced must be identified. Secondly, the existing techniques to extract information gained from multi-specral data must be developed, explored, and adapted to be suitable methods for the ANU facility.
Willingness to engage with mathematical, physical, and computational disciplines. Familiarity with python/c/c++ is a bonus.