Methods of Monte Carlo biasing using two-dimensional discrete ordinates adjoint flux

Conference · Sat Jan 01 00:00:00 EST 1977

OSTI ID:7111032

Tang, J S; Hoffman, T J; Stevens, P N

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; TRN: 77-011307
• Resource Relation: Conference: 5. international conference on reactor shielding, Knoxville, TN, USA, 18 Apr 1977
• Country of Publication: United States
• Language: English

Related Subjects

22 GENERAL STUDIES OF NUCLEAR REACTORS
SHIELDING
MATHEMATICAL MODELS
ADJOINT DIFFERENCE METHOD
MONTE CARLO METHOD
NEUTRON IMPORTANCE FUNCTION
TWO-DIMENSIONAL CALCULATIONS
220200* - Nuclear Reactor Technology- Components & Accessories