Issue |
2014
SNA + MC 2013 - Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo
|
|
---|---|---|
Article Number | 05121 | |
Number of page(s) | 2 | |
Section | 5. Poster Session: a. Computational Nuclear Applications | |
DOI | https://doi.org/10.1051/snamc/201405121 | |
Published online | 06 June 2014 |
Theory and Performance of AIMS for Active Interrogation
Nuclear Engineering Program, Department of Mechanical Engineering, Virginia Tech, 900 N Glebe Rd., Arlington, Virginia 22203
A hybrid Monte Carlo and deterministic methodology has been developed for application to active interrogation systems. The methodology consists of four steps: i) determination of neutron flux distribution due to neutron source transport and subcritical multiplication; ii) generation of gamma source distribution from (n, γ) interactions; iii) determination of gamma current at a detector window; iv) detection of gammas by the detector. This paper discusses the theory and results of the first three steps for the case of a cargo container with a sphere of HEU in third-density water. In the first step, a response-function formulation has been developed to calculate the subcritical multiplication and neutron flux distribution. Response coefficients are pre-calculated using the MCNP5 Monte Carlo code. The second step uses the calculated neutron flux distribution and Bugle-96 (n, γ) cross sections to find the resulting gamma source distribution. Finally, in the third step the gamma source distribution is coupled with a pre-calculated adjoint function to determine the gamma flux at a detector window. A code, AIMS (Active Interrogation for Monitoring Special-Nuclear-materials), has been written to output the gamma current for an source-detector assembly scanning across the cargo using the pre-calculated values and takes significantly less time than a reference MCNP5 calculation.
Key words: active interrogation / Monte Carlo / deterministic / adjoint function / hybrid
© Owned by the authors, published by EDP Sciences, 2014