Methods of Monte Carlo biasing using two-dimensional discrete ordinates adjoint flux
Conference
·
OSTI ID:7111032
To obtain a Monte Carlo solution of a deep penetration radiation transport problem, importance sampling is required. The adjoint function has been shown to be a good importance function. However, to fully utilize the adjoint information, a distinction must be made between two adjoint functions: the event-value function and the point-value function. The proper use of these functions in Monte Carlo importance sampling is discussed and illustrated, and methods of biasing three-dimensional deep penetration Monte Carlo shielding calculations using importance functions obtained from a two-dimensional discrete ordinates adjoint calculation are developed.
- Research Organization:
- Oak Ridge National Lab., TN (USA); Tennessee Univ., Knoxville (USA)
- DOE Contract Number:
- W-7405-ENG-26
- OSTI ID:
- 7111032
- Report Number(s):
- CONF-770401-10
- Country of Publication:
- United States
- Language:
- English
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