Point Kinetics Framework for Characterizing Prompt Neutron and Photon Signatures From Tagged Neutron Interrogation
| Autor: | Seth M McConchie, Bonnie Canion, Sheldon Landsberger |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Physics
Nuclear and High Energy Physics Photon Fissile material 010308 nuclear & particles physics Fission 020209 energy 02 engineering and technology Radiation 01 natural sciences Nuclear physics Nuclear Energy and Engineering Neutron generator Prompt neutron 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Neutron cross section Neutron Electrical and Electronic Engineering Nuclear Experiment |
| Zdroj: | IEEE Transactions on Nuclear Science. 64:1761-1768 |
| ISSN: | 1558-1578 0018-9499 |
| Popis: | The goal of this paper is to build a simple point kinetics model to predict the neutron and photon multiplicities induced by an associated particle imaging deuterium-tritium neutron generator interrogating uranium metal. A point kinetics framework is used to model the relationship between multiplication and radiation released from a 14.1-MeV neutron-induced fission chain in subcritical uranium. The goal of developing this point kinetics model is to tie the number of neutrons and photons released from a configuration to the multiplication of that configuration. The discussion is limited to building a model that describes the photon and neutron multiplicities released from a uranium inspection object, not considering the detection process. The addition of polyethylene shielding is also investigated. The point kinetics predictions are compared with the results from an MCNP-PoliMi simulation throughout as a way of measuring how closely the simple point kinetics model describes the complex propagation and transport of fission chain radiation in fissile material. The results show that the point kinetics does an excellent job of predicting the multiplicities released from the inspection objects, but at the cost of multiple additional inputs, some of which rely on the knowledge of geometric information from imaging. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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