Progress of divertor simulation research toward the realization of detached plasma using a large tandem mirror device

Nakashima, Yosuke*; Takeda, Hisahito*; Ichimura, Kazuya*; Hosoi, Katsuhiro*; Oki, Kensuke*; Sakamoto, Mizuki*; Hirata, Mafumi*; Ichimura, Makoto*; Ikezoe, Ryuya*; Imai, Tsuyoshi*; et al.

Journal of Nuclear Materials, 463, p.537 - 540, 2015/08

https://doi.org/10.1016/j.jnucmat.2014.12.063

Radioactive tracer Cs (TRACs) for Fukushima Nuclear Power Plant accident

Nagai, Yasuki; Makii, Hiroyuki; Namiki, Shinji; Iwamoto, Osamu; Iwamoto, Nobuyuki; Sawahata, Hiroyuki*

Journal of the Physical Society of Japan, 81(8), p.085003_1 - 085003_2, 2012/08

https://doi.org/10.1143/JPSJ.81.085003

We propose to use the radionuclide Cs as a tracer. -ray energy of the most intense line from the decay of Cs is 668 keV, which is very near to that of the 662 keV from the decay of Cs, while the half-life of Cs is 6.5 d. Cs can be produced by nuclear reactions such as Cs(n,2n)Cs, Cs(r,n)Cs or Xe(p,n)Cs. The Cs tracer would be useful in the quantitative studies of radionuclide Cs contaminant in human, and in any experimental studies in the minimization of radionuclide Cs contamination in agricultural and stock farming products.

Measurements of absolute hydrogen gas pressure in the divertor module in GAMMA 10 and effects on reduction of thermal and particle loads onto the V-shaped target

Fukumoto, Masakatsu; Ichimura, Kazuya*; Nakashima, Yosuke*; Takeda, Hisahito*; Iwamoto, Miki*; Hosoda, Yasunari*; Sakamoto, Mizuki*; Kubo, Hirotaka; Shoji, Mamoru*

no journal, , 

no abstracts in English

Application of the extended bias factor method for highly reliable benchmark suite

Tokashiki, Mikio*; Ikehara, Tadashi*; Tada, Kenichi; Egawa, Toru*; Yokoyama, Kenji; Iwamoto, Osamu

no journal, , 

The bias factor methods have been widely used for applications to reduce uncertainties of the predicted value in the reactor physics characteristics. In the present study, an attempt has been made to apply the extended bias factor method to qualifying the reliability of measured data by assuming the uncertainty of the numerical model being negligible and the covariance of cross section being reliable. In this presentation, comparison results will be shown between actual measured value and the predicted value of a benchmark case sampled from the benchmark suite. Furthermore, it will be shown that the comparison and their uncertainty enable us to qualify the degree of reliability of the actual measured value.