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Utilizing nuclear data in delayed gamma-ray spectroscopy inverse Monte Carlo analysis

遅発ガンマ線スペクトル分析における逆モンテカルロ法による核データ利用

Rodriguez, D. ; Abbas, K.*; Crochemore, J.-M.*; 小泉 光生 ; Nonneman, S.*; Pedersen, B.*; Rossi, F. ; 瀬谷 道夫*; 高橋 時音

Rodriguez, D.; Abbas, K.*; Crochemore, J.-M.*; Koizumi, Mitsuo; Nonneman, S.*; Pedersen, B.*; Rossi, F.; Seya, Michio*; Takahashi, Toon

While nondestructive assay techniques would improve the efficiency and time to quantify high-radioactivity nuclear material, there are no passive NDA techniques available to directly verify the U and Pu content. The JAEA and JRC are collaboratively developing the Delayed Gamma-ray Spectroscopy to evaluate the fissile composition from the unique fission product yield distributions. We are developing an Inverse Monte Carlo method that simulates the interrogation and evaluates the individual contributions to the composite spectrum. While the current nuclear data affects the ability to evaluate the composition, the IMC analysis method can be used to determine the systematic uncertainty contributions and has the potential to improve the nuclear data. We will present the current status of the DGS collaborative work as it relates to the development of the DGS IMC analysis.

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