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Covariances for Evaluations based on Extensive Modelling

Authors: I. Raskinyte; H. Leeb; Marco T. Pigni;
doi: 10.1063/1.1944981
Abstract
A method for a reliable estimate of uncertainties and associated covariances of integral cross sections obtained via model calculations is proposed. The method accounts for uncertainties of model parameters, the numerical implementation errors and the model deficiencies, where emphasis is given on the latter one. Covariance matrices for phenomenological models as well as for almost parameter‐free microscopic calculations are obtained on the same footing. In a schematic example the method is applied for the determination of the contribution of model deficiencies associated with the optical model and multistep reaction models to the covariance matrices of 56Fe.
Related Organizations
- TU Wien Austria
- TU Wien Austria
- Universities Austria Austria
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).4 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
4
Average
Average
Average
Fields of Science (3) View all
Related to Research communities
Energy Research