NEW ALGORITHM FOR MONTE CARLO PARTICLE-TRANSPORT SIMULATION TO RECOVER EVENT-BY-EVENT KINEMATIC CORRELATIONS OF REACTIONS EMITTING CHARGED PARTICLES

摘要

We develop a new radiation transport algorithm to recover event-by-event quantities based on inclusive cross-section data and conservation of energy and momentum. In radiation transport calculations based on inclusive cross-section data, conventional algorithms can predict the average behavior of particles; however, they do not consider fluctuations around the average. Moreover, calculating the kinematics of secondary particles and the recoil residues resulting from reactions is beyond their scope. The algorithm developed in this study reproduces particle emission in each reaction in exact accordance with the chosen reaction channel. The algorithm makes it possible to predict event-by-event quantities, such as nuclear recoil, secondary particles and energy spectra for all types of reaction channels. To evaluate the impact of the proposed algorithm, we use it for simulations to evaluate the dose-conversion coefficient, analyze the soft error rate and predict radiation damage. The results of these simulations show that the proposed algorithm is indispensable for such studies.