Quasi-deterministic approximation of the Monte Carlo importance function

Conference · Thu Jan 01 04:00:00 EST 1987 · Trans. Am. Nucl. Soc.; (United States)

OSTI ID:6892891

Booth, T E

There are many Monte Carlo biasing techniques that require approximate importance information. Often the geometry is complicated, and Monte Carlo estimates of the importance function are used in lieu of a deterministic calculation that has problems with the geometry. There are a number of Monte Carlo techniques that can be used to provide importance/biasing information. The technique described here is unique because it allows the user to divide the phase space into user-selected regions and use Monte Carlo to estimate the average region i to region j transport parameters and scores for the transport. This information is then used to form a discrete state transport problem that can be solved deterministically.

• Research Organization: Los Alamos National Lab., NM (USA)
• OSTI ID: 6892891
• Report Number(s): CONF-8711195-
• Conference Information: Journal Name: Trans. Am. Nucl. Soc.; (United States) Journal Volume: 55
• Country of Publication: United States
• Language: English

Related Subjects

654001 -- Radiation & Shielding Physics-- Radiation Physics
Shielding Calculations & Experiments
654003* -- Radiation & Shielding Physics-- Neutron Interactions with Matter
73 NUCLEAR PHYSICS AND RADIATION PHYSICS
ALGORITHMS
CHARGED-PARTICLE TRANSPORT
ERRORS
MATHEMATICAL LOGIC
MESH GENERATION
MONTE CARLO METHOD
NEUTRAL-PARTICLE TRANSPORT
RADIATION TRANSPORT