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dc.contributor.authorBosser, Alexandre
dc.contributor.authorGupta, Viyas
dc.contributor.authorTsiligiannis, Georgios
dc.contributor.authorFrost, Christopher D.
dc.contributor.authorZadeh, Ali
dc.contributor.authorJaatinen, Jukka
dc.contributor.authorJavanainen, Arto
dc.contributor.authorPuchner, Helmut
dc.contributor.authorSaigné, Frédéric
dc.contributor.authorVirtanen, Ari
dc.contributor.authorWrobel, Frédéric
dc.contributor.authorDilillo, Luigi
dc.date.accessioned2016-08-29T05:42:22Z
dc.date.available2016-08-29T05:42:22Z
dc.date.issued2016
dc.identifier.citationBosser, A., Gupta, V., Tsiligiannis, G., Frost, C. D., Zadeh, A., Jaatinen, J., Javanainen, A., Puchner, H., Saigné, F., Virtanen, A., Wrobel, F., & Dilillo, L. (2016). Methodologies for the Statistical Analysis of Memory Response to Radiation. <i>IEEE Transactions on Nuclear Science</i>, <i>63</i>(4), 2122-2128. <a href="https://doi.org/10.1109/TNS.2016.2527781" target="_blank">https://doi.org/10.1109/TNS.2016.2527781</a>
dc.identifier.otherCONVID_26125029
dc.identifier.otherTUTKAID_70697
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/51096
dc.description.abstractMethodologies are proposed for in-depth statistical analysis of Single Event Upset data. The motivation for using these methodologies is to obtain precise information on the intrinsic defects and weaknesses of the tested devices, and to gain insight on their failure mechanisms, at no additional cost. The case study is a 65nm SRAM irradiated with neutrons, protons and heavyions.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.ispartofseriesIEEE Transactions on Nuclear Science
dc.subject.othermemory response
dc.subject.otherstatistical analysis
dc.titleMethodologies for the Statistical Analysis of Memory Response to Radiation
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201608263890
dc.contributor.laitosFysiikan laitosfi
dc.contributor.laitosDepartment of Physicsen
dc.contributor.oppiaineKiihdytinlaboratoriofi
dc.contributor.oppiaineAccelerator Laboratoryen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2016-08-26T12:15:05Z
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange2122-2128
dc.relation.issn0018-9499
dc.relation.numberinseries4
dc.relation.volume63
dc.type.versionacceptedVersion
dc.rights.copyright© 2016 IEEE. This is a final draft version of an article whose final and definitive form has been published in the conference proceeding by IEEE. Published in this repository with the kind permission of the publisher.
dc.rights.accesslevelopenAccessfi
dc.subject.ysosäteily
jyx.subject.urihttp://www.yso.fi/onto/yso/p4150
dc.relation.doi10.1109/TNS.2016.2527781
dc.type.okmA1


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