Automated Suppression of the Initial Transient in Monte Carlo Calculations based on Stationarity Detection using the Brownian Bridge Theory
Résumé
The accuracy of a criticality Monte Carlo (MC) calculation requires the convergence of the k-effective series. Once the convergence is reached, the estimation of the k-effective eigenvalue must exclude the initial transient of the k-effective series. The present paper deals with a post-processing algorithm to suppress the initial transient of a criticality MC calculation, using the Brownian Bridge theory.