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Godzilla is helping ITER prepare for tokamak assembly
ITER employees stand by Godzilla, the most powerful commercially available industrial robot available. (Photo: ITER)
Many people are familiar with Godzilla as a giant reptilian monster that emerged from the sea off the coast of Japan, the product of radioactive contamination. These days, there is a new Godzilla, but it has a positive—and entirely fact-based—association with nuclear energy. This one has emerged inside the Tokamak Assembly Preparation Building of ITER in southern France.
R. P. Gardner, M. Mickael, M. Oraby, K. Verghese
Nuclear Science and Engineering | Volume 108 | Number 3 | July 1991 | Pages 240-246
Technical Paper | doi.org/10.13182/NSE91-A23822
Articles are hosted by Taylor and Francis Online.
A general direction biasing approach for Monte Carlo scattering simulation in a laboratory system, previously applied to neutron scattering for all elements except hydrogen for isotropic center-of-mass scattering, is applied to hydrogen. (Neutron scattering with hydrogen represents a unique problem in direction biasing, in that only scattering at angles <π/2 are allowable.) The pertinent relationships are derived and sample results are given for problems of practical importance in neutron porosity well logging. (Note that this problem is significantly different from neutron shielding problems in that detection is favored for thermal neutrons in this case, while escape occurs at all energies in the shielding problem.) The use of neutron hydrogen scattering direction biasing gives the same results in the problems treated as when it is not used, indicating that the treatment is valid. However, for the approach of fixing the direction biasing parameters throughout a neutron history, the addition of hydrogen direction biasing only slightly improves the Monte Carlo figure of merit, and then only when very moderate biasing is used. It is likely that the optimum use of neutron hydrogen scattering direction biasing (at least for the neutron porosity well logging problem) will involve a more complex approach, such as tailoring the severity of the biasing to the remainder of the average neutron path length available, or, in general, to the established importance sampling technique relating to where the neutron resides in phase-space.