The Monte Carlo Hauser-Feshbach Technique for Studying Nuclear Reaction Mechanisms
28 September 2016
NSCL Lecture Hall
Los Alamos National Laboratory
The statistical Hauser-Feshbach theory with width fluctuation correction has been successfully applied to analyze experimental nuclear reaction data, and to predict unknown cross sections often required by many applications such as astrophysics. We can also apply the theory to nuclear structure study, e.g. the beta-delayed neutron and photon emission, where all the emission competition should be included. One of recent advances in the reaction theory is to produce correlated information during the de-excitation of compound nucleus, and we employ the Monte Carlo technique. The Monte-Carlo Hauser-Feshbach method enables us to simulate experiments in more natural way, and provides some key signals to understand nuclear reaction mechanisms. In this talk, I will briefly summarize the statistical theory of nuclear reactions, and introduce our Monte Carlo Hauser-Feshbach technique.