Reproducibility and Monte Carlo eigenvalue calculations

Conference · Wed Jan 01 00:00:00 EST 1992 · Transactions of the American Nuclear Society; (United States)

OSTI ID:7057460

Brown, F B; Sutton, T M ^[1]

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1. Knolls Atomic Power Lab., Schenectady, NY (United States)

Monte Carlo methods are used routinely to compute the eigenvalue and power distribution of reactor cores and fuel assemblies. Reproducibility of the results is vital to quality assurance for engineering design and to the process of developing and verifying a Monte Carlo code. In this paper, the authors outline methods used in the RACER Monte Carlo code, which ensure reproducibility, regardless of supergrouping or parallel processing, and which are completely consistent with conventional scalar Monte Carlo eigenvalue calculational methods.

• OSTI ID: 7057460
• Report Number(s): CONF-920606-; CODEN: TANSA
• Journal Information: Transactions of the American Nuclear Society; (United States), Vol. 65; Conference: American Nuclear Society annual meeting, Boston, MA (United States), 7-12 Jun 1992; ISSN 0003-018X
• Country of Publication: United States
• Language: English

Related Subjects

22 GENERAL STUDIES OF NUCLEAR REACTORS
REACTOR PHYSICS
MONTE CARLO METHOD
ALGORITHMS
COMPUTER CALCULATIONS
DATA PROCESSING
DESIGN
EIGENVALUES
FUEL ASSEMBLIES
MEMORY MANAGEMENT
PARALLEL PROCESSING
POWER DENSITY
R CODES
REACTOR CORES
SCALARS
VERIFICATION
COMPUTER CODES
MATHEMATICAL LOGIC
PHYSICS
PROCESSING
PROGRAMMING
REACTOR COMPONENTS
220100* - Nuclear Reactor Technology- Theory & Calculation