Monte Carlo Simulation for Particle and γ-Ray Emissions in Statistical Hauser-Feshbach Model

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概要

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• Monte Carlo simulations for particle and γ-ray emissions from a compound nucleus based on the Hauser-Feshbach statistical theory with pre-equilibrium emission are performed. The simulation yields reliable nuclear-reaction-wise energy spectra, or so-called exclusive spectra, for emitted neutrons and γ-rays, which are required in particle transport calculations for nuclear applications. The Monte Carlo method is applied to neutron-induced nuclear reactions on 56Fe, and the results are compared with a traditional deterministic method. The neutron and γ-ray emission correlation is examined by gating on an 847 keV γ-ray that is produced by an inelastic scattering process. The partial γ-ray energy spectra for different γ-ray multiplicities are inferred using this Monte Carlo method. In addition, we investigate a correlation between two neutrons in the (n,2n) reaction.

• 2010-05-01

著者

• WATANABE Takehito

  Theoretical Division, Los Alamos National Laboratory

• KAWANO Toshihiko

  Theoretical Division, Los Alamos National Laboratory

• CHADWICK Mark

  Theoretical Division, Los Alamos National Laboratory

• TALOU Patrick

  Theoretical Division, Los Alamos National Laboratory

• Talou Patrick

  Theoretical Division Los Alamos National Laboratory

• Chadwick Mark

  Theoretical Division Los Alamos National Laboratory

• Kawano Toshihiko

  Theoretical Div. Los Alamos National Lab.

• Watanabe Takehito

  Theoretical Division Los Alamos National Laboratory

関連論文

• Calculation of Prompt Fission Product Average Cross Sections for Neutron-Induced Fission of ^U and ^Pu
• Monte Carlo Simulation for Particle and γ-Ray Emissions in Statistical Hauser-Feshbach Model
• Phenomenological Nuclear Level Densities using the KTUY05 Nuclear Mass Formula for Applications Off-Stability
• Particle-Gamma and Particle-Particle Correlations in Nuclear Reactions Using Monte Carlo Hauser-Feshbach Model (Selected Papers of the Joint International Conference of Supercomputing in Nuclear Applications and Monte Carlo : SNA + MC 2010)

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