| About this Abstract |
| Meeting |
2021 TMS Annual Meeting & Exhibition
|
| Symposium
|
Characterization of Nuclear Materials and Fuels with Advanced X-ray and Neutron Techniques
|
| Presentation Title |
Transmission Spectrum Estimation and Material Decomposition with Energy Resolved Neutron Imaging |
| Author(s) |
Thilo Balke, Alexander Makenzie Long, Sven Vogel, Brendt Egon Wohlberg, Charles A. Bouman |
| On-Site Speaker (Planned) |
Thilo Balke |
| Abstract Scope |
Time-of-flight (TOF) neutron detectors with a pulsed, white neutron source enable imaging of energy resolved radiographs. Given that isotopes have distinctive neutroncross sections, especially in the resolved resonance region, material information can be further decomposed based on its isotopic composition. Acquiring different angles of the sample thus allows for material decomposed computed tomography (CT) imaging. For the purpose of decomposition of a transmission spectrum, high fidelity analysis software like SAMMY (ORNL) can be used. However, this software is not optimized for processing large amounts of data as it is necessary for a CT application (billions of spectra per CT scan). We present a series of performance optimized algorithms to process and material decompose large amounts of TOF image data. We are using a novel, parallelized background estimation technique, and a material decomposition based on basis pursuit denoising with a precomputed dictionary of broadened neutron cross-section data. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Nuclear Materials, Modeling and Simulation, |