SUPER-HISTORY METHODS FOR ADJOINT-WEIGHTED TALLIES IN MONTE CARLO TIME EIGENVALUE CALCULATIONS

Time eigenvalues emerge in several key applications related to neutron transport problems, including reactor start-up and reactivity measurements. In this context, experimental validation uncertainty quantification would demand assess the variation of dominant time eigenvalue response a nuclear data. Recently, we proposed use Generalized Iterated Fission Probability method (G-IFP) compute adjoint-weighted tallies, such as kinetic parameters, perturbations sensitivity coefficients, for Monte Carlo (or alpha) calculations. With massive parallel calculations, it be therefore useful trade memory burden G-IFP (which is comparable that standard IFP k -eigenvalue problems) computation rely on history-based schemes tallies. For purpose, investigate super-history applied estimating tallies within ? - power iteration, based previous work problems. Verification algorithms performed some simple preliminary tests where analytic solutions exist. addition, performances are assessed by comparing methods same sets benchmark