Uncertainty propagation based on correlated sampling technique for nuclear data applications
نویسندگان
چکیده
منابع مشابه
Clustering-based collocation for uncertainty propagation with multivariate correlated inputs
In this article, we propose the use of partitioning and clustering methods as an alternative to Gaussian quadrature for stochastic collocation (SC). The key idea is to use cluster centers as the nodes for collocation. In this way, we can extend the use of collocation methods to uncertainty propagation with multivariate, correlated input. The approach is particularly useful in situations where t...
متن کاملUncertainty propagation in nuclear forensics
Uncertainty propagation formulae are presented for age dating in support of nuclear forensics. The age of radioactive material in this context refers to the time elapsed since a particular radionuclide was chemically separated from its decay product(s). The decay of the parent radionuclide and ingrowth of the daughter nuclide are governed by statistical decay laws. Mathematical equations allow ...
متن کاملPropagation of Uncertainty by Sampling on Confidence Boundaries
A new class of methods for propagation of uncertainty through complex models nonlinear-in-parameters is proposed. It is derived from a recent idea of propagating covariance within the unscented Kalman filter. The nonlinearity could be due to a pole-zero parametrization of a dynamic model in the Laplace domain, finite element model (FEM) or other large computer models, models of mechanical fatig...
متن کاملVariables Sampling Plan For Correlated Data
The sampling plan for the mean for correlated data is studied. The Operating Characteristic (OC) of the variable sampling plan for mean for correlated data are calculated and compared with the OC of known σ case.
متن کاملA data-based enumeration technique for fully correlated signals
We present a novel method for estimating the number of signals impinging on a uniform linear array using observed sensor data. Unlike other algorithms which apply Rissanen's Minimum Description Length (MDL) principle to the observed data for source enumeration, this method applies it to the prediction errors of a linear model which has been tted to an appropriate data matrix. It is a one-dimens...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EPJ Nuclear Sciences & Technologies
سال: 2020
ISSN: 2491-9292
DOI: 10.1051/epjn/2020003