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

**Authors:** Artur M. Galimov, Regina M. Galimova, Gennady I. Zebrev

arXiv: 1704.07256 · 2017-04-25

## 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.

## Key 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.

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Source: https://tomesphere.com/paper/1704.07256