ABSTRACT

Extreme radiation environments are often difficult or impossible to reproduce satisfactorily in a laboratory. As a result, it is essential to develop methods to simulate extreme environment effects that can be used to extrapolate the results of measurements made in achievable environments. Since radiation-induced single event effects (SEE) were first recognized to be a reliability concern [1,2], a number of methods have been proposed for measuring and predicting their frequency [3–10]. More recently, these methods have been supplemented by Monte Carlo calculations [11,12].