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Covariances for Evaluations based on Extensive Modelling

Authors: I. Raskinyte; H. Leeb; Marco T. Pigni;

Covariances for Evaluations based on Extensive Modelling

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.

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average