Geant4 Assisted Monte Carlo Prediction of Space Proton-Induced Soft Error Rate Based on Heavy Ion Testing Data

TL;DR

This paper introduces a Geant4-assisted Monte Carlo method to predict space proton-induced soft error rates using heavy ion testing data, enhancing accuracy in space radiation effects modeling.

Contribution

It presents a novel procedure combining Geant4 simulations with heavy ion data to improve soft error rate predictions for space electronics.

Findings

Accurate prediction of soft error rates in space environments.

Effective use of Geant4 for secondary particle LET spectra simulation.

Enhanced modeling of proton-induced errors in space hardware.

Abstract

A procedure of space proton-induced Soft Error Rate calculation based on heavy ion testing data is proposed. The approach relies on Geant4-assisted Monte Carlo simulation of the secondary particle LET spectra produced by proton interactions.