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Improved data evaluation methodology for energy ranges with missing experimental data

Improved data evaluation methodology for energy ranges with missing experimental data AbstractA number of improvements of the data evaluation concerning nuclear model calculations and evaluation procedures are considered. A promising combination of the hybrid Monte Carlo simulation model of M. Blann for the modelling of non-equilibrium particle emission and the Hauser-Feshbach model, and a possible correction of simulations using intranuclear cascade evaporation model are discussed. In the last case the modelling of particle emission is improved by the consideration of nucleon-cluster interactions. The approach for reliable predictions of cross-sections using “optimal” nuclear model parameters and the method of their generation is discussed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Kerntechnik de Gruyter

Improved data evaluation methodology for energy ranges with missing experimental data

Kerntechnik , Volume 80 (3): 7 – Jul 25, 2015

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References (23)

Publisher
de Gruyter
Copyright
© 2015, Carl Hanser Verlag, München
ISSN
0932-3902
eISSN
2195-8580
DOI
10.3139/124.110531
Publisher site
See Article on Publisher Site

Abstract

AbstractA number of improvements of the data evaluation concerning nuclear model calculations and evaluation procedures are considered. A promising combination of the hybrid Monte Carlo simulation model of M. Blann for the modelling of non-equilibrium particle emission and the Hauser-Feshbach model, and a possible correction of simulations using intranuclear cascade evaporation model are discussed. In the last case the modelling of particle emission is improved by the consideration of nucleon-cluster interactions. The approach for reliable predictions of cross-sections using “optimal” nuclear model parameters and the method of their generation is discussed.

Journal

Kerntechnikde Gruyter

Published: Jul 25, 2015

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