Long-Term Destructive SEE risk and calculations using multiple "worst-Case" events versus modelling
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Discipline
Physical sciences
Subject
Single Event Effect (SEE)
Solar Particle Event (SPE)
statistical modelling
Audience
Scientific
Date
2014Metadata
Show full item recordDescription
A statistical analysis comparing the number of CREME-96 worst-week environments to a space environment particle flux data analysis and the PSYCHIC model is presented. This analysis provides an indication of the number of worst-week environments that are required to obtain a particular confidence level and determine the associated risk of a destructive single event effect over a mission but highlights the drawback of such an approach compared to using a statistical model. A method for direct assessment of the number of Single Event Effects expected specific to components and shielding geometries using the European Space Agency SEPEM system is also presented.
Citation
Jiggens, P.; Evans, H.; Truscott, P.; Heynderickx, D.; Lei, F.; DeDonder, E. (2014). Long-Term Destructive SEE risk and calculations using multiple "worst-Case" events versus modelling. , IEEE Transactions on Nuclear Science, Vol. 61, Issue 4, 1695-1702, DOI: 10.1109/TNS.2014.2302994.Identifiers
scopus: 2-s2.0-84906784924
Type
Article
Peer-Review
Yes
Language
eng