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EXPLORING THE USE OF A DETERMINISTIC ADJOINT FLUX CALCULATION IN CRITICALITY MONTE CARLO SIMULATIONS

A Jinaphanh, J Miss, Y Richet, Nicolas Martin, Alain Hébert

Research output: Contribution to conferencePaperpeer-review

Abstract

The paper presents a preliminary study on the use of a deterministic adjoint flux calculation to improve source convergence issues by reducing the number of iterations needed to reach the converged distribution in criticality Monte Carlo calculations. Slow source convergence in Monte Carlo eigenvalue calculations may lead to underestimate the effective multiplication factor or reaction rates. The convergence speed depends on the initial distribution and the dominance ratio. We propose using an adjoint flux estimation to modify the transition kernel according to the Importance Sampling technique. This adjoint flux is also used as the initial guess of the first generation distribution for the Monte Carlo simulation. Calculated Variance of a local estimator of current is being checked.
Original languageAmerican English
StatePublished - May 2011
Externally publishedYes
EventInternational Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering - Rio de Janeiro, Brazil
Duration: May 8 2011May 12 2011

Conference

ConferenceInternational Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering
Abbreviated titleM&C 2011
Country/TerritoryBrazil
CityRio de Janeiro
Period05/8/1105/12/11

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