Stratified source-sampling techniques for Monte Carlo eigenvalue analysis.

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In 1995, at a conference on criticality safety, a special session was devoted to the Monte Carlo ''Eigenvalue of the World'' problem. Argonne presented a paper, at that session, in which the anomalies originally observed in that problem were reproduced in a much simplified model-problem configuration, and removed by a version of stratified source-sampling. In this paper, stratified source-sampling techniques are generalized and applied to three different Eigenvalue of the World configurations which take into account real-world statistical noise sources not included in the model problem, but which differ in the amount of neutronic coupling among the constituents of each ... continued below

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11 p.

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Mohamed, A. July 10, 1998.

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In 1995, at a conference on criticality safety, a special session was devoted to the Monte Carlo ''Eigenvalue of the World'' problem. Argonne presented a paper, at that session, in which the anomalies originally observed in that problem were reproduced in a much simplified model-problem configuration, and removed by a version of stratified source-sampling. In this paper, stratified source-sampling techniques are generalized and applied to three different Eigenvalue of the World configurations which take into account real-world statistical noise sources not included in the model problem, but which differ in the amount of neutronic coupling among the constituents of each configuration. It is concluded that, in Monte Carlo eigenvalue analysis of loosely-coupled arrays, the use of stratified source-sampling reduces the probability of encountering an anomalous result over that if conventional source-sampling methods are used. However, this gain in reliability is substantially less than that observed in the model-problem results.

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11 p.

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INIS; OSTI as DE00010648

Medium: P; Size: 11 pages

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  • International Conference on the Physics of Nuclear Science and Technology, Long Island, NY (US), 10/05/1998--10/08/1998

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  • Report No.: ANL/RA/CP-95657
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 10648
  • Archival Resource Key: ark:/67531/metadc622799

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  • July 10, 1998

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  • June 16, 2015, 7:43 a.m.

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  • April 6, 2017, 7:46 p.m.

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Mohamed, A. Stratified source-sampling techniques for Monte Carlo eigenvalue analysis., article, July 10, 1998; Illinois. (digital.library.unt.edu/ark:/67531/metadc622799/: accessed September 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.