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dc.contributor.authorCoronetti, Andrea
dc.contributor.authorGarcìa Alìa, Rubén
dc.contributor.authorWang, Jialei
dc.contributor.authorTali, Maris
dc.contributor.authorCecchetto, Matteo
dc.contributor.authorCazzaniga, Carlo
dc.contributor.authorJavanainen, Arto
dc.contributor.authorSaigné, Frédéric
dc.contributor.authorLeroux, Paul
dc.date.accessioned2021-02-26T11:50:36Z
dc.date.available2021-02-26T11:50:36Z
dc.date.issued2021
dc.identifier.citationCoronetti, A., Garcìa Alìa, R., Wang, J., Tali, M., Cecchetto, M., Cazzaniga, C., Javanainen, A., Saigné, F., & Leroux, P. (2021). Assessment of Proton Direct Ionization for the Radiation Hardness Assurance of Deep Submicron SRAMs Used in Space Applications. <i>IEEE Transactions on Nuclear Science</i>, <i>68</i>(5), 937-948. <a href="https://doi.org/10.1109/TNS.2021.3061209" target="_blank">https://doi.org/10.1109/TNS.2021.3061209</a>
dc.identifier.otherCONVID_51629769
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/74417
dc.description.abstractProton direct ionization from low-energy protons has been shown to have a potentially significant impact on the accuracy of prediction methods used to calculate the upset rates of memory devices in space applications for state-of-the-art deep sub-micron technologies. The general approach nowadays is to consider a safety margin to apply over the upset rate computed from high-energy proton and heavy ion experimental data. The data reported here present a challenge to this approach. Different upset rate prediction methods are used and compared in order to establish the impact of proton direct ionization on the total upset rate. No matter the method employed the findings suggest that proton direct ionization can contribute to up to 90% of the total upset rate on average for a general selection of space orbits, with peaks of up to 99%. Such results suggest that an approach based on the characterization of the low-energy portion of the proton spectrum would be more convenient for similar technologies than the application of a general safety margin. Based on data presented here, the previously proposed margin of 5 is exceeded, by large amounts in some cases.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofseriesIEEE Transactions on Nuclear Science
dc.rightsCC BY 4.0
dc.titleAssessment of Proton Direct Ionization for the Radiation Hardness Assurance of Deep Submicron SRAMs Used in Space Applications
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202102261787
dc.contributor.laitosFysiikan laitosfi
dc.contributor.laitosDepartment of Physicsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange937-948
dc.relation.issn0018-9499
dc.relation.numberinseries5
dc.relation.volume68
dc.type.versionpublishedVersion
dc.rights.copyright© Authors, 2021
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber721624
dc.relation.grantnumber721624
dc.relation.grantnumber4000124504/18/NL/KML/zx
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/721624/EU//RADSAGA
dc.subject.ysomuistit (tietotekniikka)
dc.subject.ysoprotonit
dc.subject.ysoavaruustekniikka
dc.subject.ysomikroelektroniikka
dc.subject.ysoionisoiva säteily
dc.subject.ysosäteilyfysiikka
dc.subject.ysokäyttömuistit
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p12658
jyx.subject.urihttp://www.yso.fi/onto/yso/p12428
jyx.subject.urihttp://www.yso.fi/onto/yso/p17376
jyx.subject.urihttp://www.yso.fi/onto/yso/p10994
jyx.subject.urihttp://www.yso.fi/onto/yso/p459
jyx.subject.urihttp://www.yso.fi/onto/yso/p11069
jyx.subject.urihttp://www.yso.fi/onto/yso/p15250
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1109/TNS.2021.3061209
dc.relation.funderEuropean Commissionen
dc.relation.funderEuropean Space Agencyen
dc.relation.funderEuroopan komissiofi
dc.relation.funderEuropean Space Agencyfi
jyx.fundingprogramMSCA Innovative Training Networks (ITN)en
jyx.fundingprogramOthersen
jyx.fundingprogramMSCA Innovative Training Networks (ITN)fi
jyx.fundingprogramMuutfi
jyx.fundinginformationThis study has received funding from the European Union’s Horizon 2020 research and innovation programme under the MSC grant agreement no. 721624 and in part by the European Space Agency (ESA/ESTEC) at the University of Jyvaskylä under Contract 4000124504/18/NL/KML/zk
dc.type.okmA1


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