This title appears in the Scientific Report :
2006
Please use the identifier:
http://dx.doi.org/10.1016/j.nima.2006.02.069 in citations.
Scattering direction biasing for Monte Carlo transport calculation
Scattering direction biasing for Monte Carlo transport calculation
There is no straightforward way to calculate neutron transport of a system by Monte Carlo having complicated structures like a penetration in a shield wall. The reason is that the transport code never knows an appropriate route for neutrons to go through a shield wall beforehand. In the present stud...
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Personal Name(s): | Murata, I. |
---|---|
Yamamoto, H. / Miyamaru, H. / Goldenbaum, F. / Filges, D. | |
Contributing Institute: |
Institut 1 (Experimentelle Kernphysik I); IKP-E-I |
Published in: | Nuclear instruments & methods in physics research / A, 562 (2006) S. 845 - 848 |
Imprint: |
Amsterdam
North-Holland Publ. Co.
2006
|
Physical Description: |
845 - 848 |
DOI: |
10.1016/j.nima.2006.02.069 |
Document Type: |
Journal Article |
Research Program: |
Physik der Hadronen und Kerne |
Series Title: |
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
562 |
Subject (ZB): | |
Publikationsportal JuSER |
There is no straightforward way to calculate neutron transport of a system by Monte Carlo having complicated structures like a penetration in a shield wall. The reason is that the transport code never knows an appropriate route for neutrons to go through a shield wall beforehand. In the present study, estimating the contribution distribution to the detector during the transport calculation and the scattering direction biasing is simultaneously applied with the distribution, so that the neutron is guided to the detector efficiently. Test calculations with the proposed biasing procedure were carried out with some simple models, and the basic performance of the procedure was confirmed. The present procedure can be a strong biasing tool to be utilized for calculations of thick and complicated structures like streaming, shyshine and so on. (c) 2006 Elsevier B.V. All rights reserved. |