Monte Carlo techniques for analyzing deep penetration problems

Conference · Tue Jan 01 04:00:00 EST 1985

OSTI ID:5735252

Cramer, S N; Gonnord, J; Hendricks, J S

A review of current methods and difficulties in Monte Carlo deep-penetration calculations is presented. Statistical uncertainty is discussed, and recent adjoint optimization of splitting, Russian roulette, and exponential transformation biasing is reviewed. Other aspects of the random walk and estimation processes are covered, including the relatively new DXANG angular biasing technique. Specific items summarized are albedo scattering, Monte Carlo coupling techniques with discrete ordinates and other methods, adjoint solutions, and multi-group Monte Carlo. The topic of code-generated biasing parameters is presented, including the creation of adjoint importance functions from forward calculations. Finally, current and future work in the area of computer learning and artificial intelligence is discussed in connection with Monte Carlo applications. 29 refs.

• Research Organization: Oak Ridge National Lab., TN (USA); CEA Centre d'Etudes Nucleaires de Saclay, 91 - Gif-sur-Yvette (France); Los Alamos National Lab., NM (USA)
• DOE Contract Number: AC05-84OR21400
• OSTI ID: 5735252
• Report Number(s): CONF-850411-12; ON: DE85011426
• 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
ADJOINT DIFFERENCE METHOD
ALBEDO
DISCRETE ORDINATE METHOD
DOCUMENT TYPES
FUNCTIONS
MEAN FREE PATH
MONTE CARLO METHOD
MULTIGROUP THEORY
NEUTRON IMPORTANCE FUNCTION
NEUTRON TRANSPORT THEORY
RADIATION TRANSPORT
REVIEWS
SCATTERING
SHIELDING
TRANSPORT THEORY