Assessment of Proton Direct Ionization for the Radiation Hardness Assurance of Deep Submicron SRAMs Used in Space Applications
Coronetti, 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. IEEE Transactions on Nuclear Science, 68(5), 937-948. https://doi.org/10.1109/TNS.2021.3061209
Julkaistu sarjassa
IEEE Transactions on Nuclear ScienceTekijät
Päivämäärä
2021Tekijänoikeudet
© Authors, 2021
Proton 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.
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https://converis.jyu.fi/converis/portal/detail/Publication/51629769
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The content of the publication reflects only the author’s view. The funder is not responsible for any use that may be made of the information it contains.
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This 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/zkLisenssi
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