Monte Carlo Predictions of Proton SEE Cross-Sections from Heavy Ion Test Data

TL;DR

This paper introduces PRESTAGE, a new Monte Carlo-based method utilizing Geant4 to accurately predict proton single event effect cross-sections from heavy-ion test data, improving simulation realism and agreement with experimental results.

Contribution

The paper presents a novel approach, PRESTAGE, that enhances the prediction of proton SEE cross-sections by incorporating detailed physics modeling and device sensitivity strategies.

Findings

PRESTAGE accurately predicts proton SEE cross-sections within a factor of 2-3.

It can simulate both indirect and direct ionization effects, as well as latch-ups.

The method shows good agreement with experimental data for over twenty devices.

Abstract

The limits of previous methods promote us to design a new approach (named PRESTAGE) to predict proton single event effect (SEE) cross-sections using heavy-ion test data. To more realistically simulate the SEE mechanisms, we adopt Geant4 and the location-dependent strategy to describe the physics processes and the sensitivity of the device. Cross-sections predicted by PRESTAGE for over twenty devices are compared with the measured data. Evidences show that PRESTAGE can calculate not only single event upsets induced by proton indirect ionization, but also direct ionization effects and single event latch-ups. Most of the PRESTAGE calculated results agree with the experimental data within a factor of 2-3.