| Since the discovery of electrons in 1897,people have begun to explore the effects of particle irradiation.With years of development,in the interaction between highenergy particles,especially heavy ions,and solid materials,researchers have established a variety of models to illustrate the interaction mechanisms between energetic particles and solids and obtained a plenty of results through irradiation experiments.These results have been successfully applied to explain various macroscopic radiation effects of solids,thereby helping people understand the occurrence of defects in material irradiation,and to provide a theoretical basis for applications of radiation effects.Nowadays,irradiation effects in solids have been widely used in various fields,including modification of materials,production of nuclear track membranes,simulating single event effects of electronic devices in space based on heavy ion accelerators,and even modern agriculture,biological industry,and medical treatment.In these applications,the twodimensional distribution of ion hits is a common and important issue that needs to be considered.Generally,the etching procedure is used to reveal the two-dimensional distribution of ion hits,using microscopic analyses.Clearly,such a method is reliable and,however,time-consuming and cost-inefficient.Therefore,developing a new method to foresee the two-dimensional distribution of ion hits prior to irradiation is of great significance.In this work,we use the Monte Carlo simulations to picture the distribution of ion hits in two-dimensional space.Provided that the ion hits under consideration are uniformly distributed in a two-dimensional(2D)space,random numbers can be used to simulate the 2D distribution.On the one hand,it can picture the 2D distribution,and on the other hand,the generated data can be used to analyze the statistics,both are of significance for guiding experiment design.On the basis of these,we utilize the simulation results to study the main concerns of nuclear track membranes,including the porosity of the membranes,the uniformity analysis method and the probability of multiple pores with different multiplicity. |