LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

CubeSats and Crowd-Sourced Monitoring for Single Event Effects Hardness Assurance

Photo from academic.microsoft.com

New mechanisms of radiation sensitivity, such as low-energy proton SEU, potentially hinder the ability to define part-level failure rates and perform worst-case analysis. Ground-based radiation testing demonstrates sensitivity and is… Click to show full abstract

New mechanisms of radiation sensitivity, such as low-energy proton SEU, potentially hinder the ability to define part-level failure rates and perform worst-case analysis. Ground-based radiation testing demonstrates sensitivity and is useful for understanding mechanisms, but alone is not enough to quantify error rates. If radiation-induced error rates cannot be obtained through direct integration of the part response with the space environment, validated models must be developed. Models for SEU rate predictions for memories sensitive to low-energy protons have been proposed in a number of recent publications. In this paper, we use a CubeSat platform and crowd-sourced monitoring by the worldwide amateur radio community to measure the on-orbit response of a memory useful for evaluation of these models. We find that even for memories with no discernible proton SEU threshold, classical models for proton rate prediction perform well. This illustrates the capability of small satellite missions to complement ground based tests.

Keywords: sourced monitoring; crowd sourced; cubesats crowd; monitoring single; event effects; single event

Journal Title: IEEE Transactions on Nuclear Science
Year Published: 2017

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.