Assurances associated with Monte Carlo code results

All Monte Carlo computer codes have an uncertainty associated with the final result. This uncertainty (or standard deviation) is due to the sampling method inherent within the Monte Carlo technique. The basic assumptions required for the final result and uncertainty to be valid are (1) the random numbers used are truly random, (2) there is no correlation between histories, (3) the number of histories used is sufficient to represent the problem, and (4) the entire problem is adequately sampled. The first two assumptions are an integral are strongly dependent on how a problem is set up and the number of histories processed. These are items the user has direct control over. This paper examines six aspects of the KENO Monte Carlo code that affect the above-mentioned four assumptions