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Improved data evaluation methodology for energy ranges with missing experimental data

  • A. Yu. Konobeyev , U. Fischer und R. Capote
Veröffentlicht/Copyright: 26. Juni 2015
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Abstract

A 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.

Kurzfassung

Eine Reihe von Verbesserungen der Datenauswertung mit Hilfe von Kernmodell-Rechnungen und der Auswertungsverfahren werden diskutiert. Eine viel-versprechende Kombination des Hybrid-Monte-Carlo-Simu-lationsmodells von M. Blann für die Modellierung der Vorgleichgewichts-Teilchenemission und des Hauser-Feshbach-Modells und eine Verbesserung der Simulation mit Hilfe des intranuklearen Kaskaden-Verdampfungsmodells werden erörtert. Im letzten Fall wird die Simulation der Teilchenemission durch die Berücksichtigung der Nukleon-Cluster-Wechsel-wirkung verbessert. Ein Ansatz für die zuverlässigen Vorher-sagen der Wirkungsquerschnitte mit Hilfe der „optimalen“ Kernmodellparameter und deren Bestimmungsmethode wird diskutiert.


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Received: 2015-02-25
Published Online: 2015-06-26
Published in Print: 2015-07-25

© 2015, Carl Hanser Verlag, München

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