Long-Term Destructive SEE risk and calculations using multiple "worst-Case" events versus modelling
| dc.contributor.author | Jiggens, P. | |
| dc.contributor.author | Evans, H. | |
| dc.contributor.author | Truscott, P. | |
| dc.contributor.author | Heynderickx, D. | |
| dc.contributor.author | Lei, F. | |
| dc.contributor.author | DeDonder, E. | |
| dc.date | 2014 | |
| dc.date.accessioned | 2016-03-25T09:42:10Z | |
| dc.date.available | 2016-03-25T09:42:10Z | |
| dc.identifier.uri | https://orfeo.belnet.be/handle/internal/2850 | |
| dc.description | 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. | |
| dc.language | eng | |
| dc.title | Long-Term Destructive SEE risk and calculations using multiple "worst-Case" events versus modelling | |
| dc.type | Article | |
| dc.subject.frascati | Physical sciences | |
| dc.audience | Scientific | |
| dc.subject.free | Single Event Effect (SEE) | |
| dc.subject.free | Solar Particle Event (SPE) | |
| dc.subject.free | statistical modelling | |
| dc.source.title | IEEE Transactions on Nuclear Science | |
| dc.source.volume | 61 | |
| dc.source.issue | 4 | |
| dc.source.page | 1695-1702 | |
| Orfeo.peerreviewed | Yes | |
| dc.identifier.doi | 10.1109/TNS.2014.2302994 | |
| dc.identifier.scopus | 2-s2.0-84906784924 |
