American Nuclear Society
Home

Home / Store / Journals / Electronic Articles / Nuclear Science and Engineering / Volume 92 / Number 2 / Pages 280-288

Monte Carlo Techniques for Analyzing Deep-Penetration Problems

S. N. Cramer, J. Gonnord, J. S. Hendricks

Nuclear Science and Engineering / Volume 92 / Number 2 / Pages 280-288

February 1986

Format:

Price:$30.00
Member Price:$27.00
Member Savings:$3.00

Current methods and difficulties in Monte Carlo deep-penetration calculations are reviewed, including statistical uncertainty and recent adjoint optimization of splitting, Russian roulette, and exponential transformation biasing. 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 multigroup 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.

 
 
 
Questions or comments about the site? Contact the ANS Webmaster.
advertisement