Accessible Requires Authentication Published by De Gruyter June 26, 2015

Improved data evaluation methodology for energy ranges with missing experimental data

Verbesserte Datenbewertungsmethode für Energiebereiche ohne experimentelle Daten
A. Yu. Konobeyev, U. Fischer and R. Capote
From the journal Kerntechnik

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

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