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In linear devices, the strong impact of configuration on the SET characterization makes them very difficult to predict without using particle accelerators for each application. In this work, based on heavy ion data, we propose to simulate proton cross-sections using gateway tools such as SIMPA, PROFIT or the more recent METIS software we developed within Airbus Group. We review four linear devices...
This study aims to accurately determine analog SET proton cross sections derived from heavy ion data using gateway tools such as METIS, SIMPA or the more recent METIS approach we developed within Airbus Group. We validate the methodology on three linear devices and show promising results. Especially, METIS could be used in a reversed manner to determine the sensitive thickness based on the knowledge...
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...
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