Importance function biasing of the deep penetration Monte Carlo calculation
The formal basis of the use of calculated importance information for biasing forward and adjoint Monte Carlo deep penetration sheilding problems is presented. The distinction between the ''point value'' and ''event value'' functions for adjoint problems is discussed. The analysis reveals that the emergent particle density, and not the particle flux density, is the proper choice of biasing function for the selection of the adjunctor's next collision site. This is analogous to the choice of the event value as the value function for the biased selection of the next collision site in the forward analysis. A numerical illustrative problem consisting of a concrete cylinder with an axial duct, a plane source on the bottom surface, and four joint detectors outside the emergent top surface is used to demonstrate this theory.
- Research Organization:
- The Univ. of Tennessee, Nuclear Eng. Dept., Knoxville, TN
- OSTI ID:
- 6297940
- Journal Information:
- Nucl. Technol./Fusion; (United States), Vol. 5:1
- Country of Publication:
- United States
- Language:
- English
Similar Records
Methods of Monte Carlo biasing using two-dimensional discrete ordinates adjoint flux
Monte Carlo shielding calculations using event-value path-length biasing
Related Subjects
NEUTRON IMPORTANCE FUNCTION
MONTE CARLO METHOD
ADJOINT DIFFERENCE METHOD
ADJOINT FLUX
CONCRETES
CYLINDERS
NEUTRON DENSITY
NEUTRON TRANSPORT
SHIELDING
BUILDING MATERIALS
FUNCTIONS
MATERIALS
NEUTRAL-PARTICLE TRANSPORT
NEUTRON FLUX
RADIATION FLUX
RADIATION TRANSPORT
654003* - Radiation & Shielding Physics- Neutron Interactions with Matter