On the Use of Zero Variance Penalty Conditions for the Generation of Covariance Matrix between Model Parameters

This paper presents models developed to generate covariances between observable, latent and nuisance variables. The methodology consists in using “variance penalty” terms as a measure of the contribution of the uncertainty of the latent and nuisance variables to the variance of a given calculated quantity z. The Resonance Parameter Covariance Matrix for 241Am obtained with the Zero Variance Penalty model (ZVP) is compared with the corresponding one provided by Monte-Carlo.