A Monte-Carlo engineer tool for the prediction of SEU proton cross section from heavy ion data

Monte-Carlo and deterministic approaches are combined in a single tool for the prediction of proton SEU cross section from heavy ion data. It relies on RPP sensitive volumes and a Monte-Carlo analysis of nuclear interactions induced by protons. This enables fast and accurate predictions. The estimated sensitivities agree well with experiments for a large number of devices on sub-micron or deep sub-micron devices. In this paper were also compared former analytical models including PROFIT and SIMPA.

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