Neutron TOF imaging phantom data to quantify hyperspectral reconstruction algorithms

New energy-sensitive imaging techniques promise a 3D spectroscopic window deep into material microstructure, which is essential to understand in order to design new materials for applications in medicine, energy, etc. However, massive data sets, poor signal levels as well as lack of dedicated multi-channel reconstruction software pose critical barriers to the efficient exploitation of these technologies. Our research is developing a new software toolkit of novel multi-channel reconstruction methods for hyperspectral data with 100s or 1000s of channels, including neutron time-of-flight and energy-resolved X-ray imaging data.The aim of this proposal is to produce high- and low-quality test data for a carefully designed multi-material contrast phantom to allow characterisation and comparison of reconstruction quality for newly developed algorithms under varying imaging conditions.