Verification of the history-score moment equations for weight-window variance reduction

Conference · Mon Dec 06 00:00:00 EST 2010

OSTI ID:1043547

Solomon, Clell J ^[1]; Sood, Avneet ^[1]; Booth, Thomas E ^[1]; Shultis, J Kenneth ^[2]

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1. Los Alamos National Laboratory
2. KANSAS STATE UNIV.

The history-score moment equations that describe the moments of a Monte Carlo score distribution have been extended to weight-window variance reduction, The resulting equations have been solved deterministically to calculate the population variance of the Monte Carlo score distribution for a single tally, Results for one- and two-dimensional one-group problems are presented that predict the population variances to less than 1% deviation from the Monte Carlo for one-dimensional problems and between 1- 2% for two-dimensional problems,

• Research Organization: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC52-06NA25396
• OSTI ID: 1043547
• Report Number(s): LA-UR-10-08047; LA-UR-10-8047; TRN: US201214%%88
• Resource Relation: Conference: 2011 International Conference on Mathematics Computational Methods and Reactor Physics ; May 8, 2011 ; Rio de Janeiro, Brazil
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
DISTRIBUTION
EQUATIONS
MEETINGS
MONTE CARLO METHOD
REDUCTION
VERIFICATION