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dc.contributor.authorJiggens, P.
dc.contributor.authorEvans, H.
dc.contributor.authorTruscott, P.
dc.contributor.authorHeynderickx, D.
dc.contributor.authorLei, F.
dc.contributor.authorDeDonder, E.
dc.date2014
dc.date.accessioned2016-03-25T09:42:10Z
dc.date.available2016-03-25T09:42:10Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/2850
dc.descriptionA 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.languageeng
dc.titleLong-Term Destructive SEE risk and calculations using multiple "worst-Case" events versus modelling
dc.typeArticle
dc.subject.frascatiPhysical sciences
dc.audienceScientific
dc.subject.freeSingle Event Effect (SEE)
dc.subject.freeSolar Particle Event (SPE)
dc.subject.freestatistical modelling
dc.source.titleIEEE Transactions on Nuclear Science
dc.source.volume61
dc.source.issue4
dc.source.page1695-1702
Orfeo.peerreviewedYes
dc.identifier.doi10.1109/TNS.2014.2302994
dc.identifier.scopus2-s2.0-84906784924


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