A Monte-Carlo engineer tool for the prediction of SEU proton cross section from heavy ion data

C. Weulersse; F. Wrobel; F. Miller; T. Carriere; R. Gaillard; J. Vaille; N. Buard

doi:10.1109/RADECS.2011.6131348

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A Monte-Carlo engineer tool for the prediction of SEU proton cross section from heavy ion data

C. Weulersse, F. Wrobel, F. Miller, T. Carriere, R. Gaillard, J. Vaille et N. Buard

2011 12th European Conference on Radiation and Its Effects on Components and Systems, pp.376-383

09/2011

DOI: https://doi.org/10.1109/RADECS.2011.6131348

Résumé

Databases

Monte Carlo methods

prediction tool

proton irradiation

Protons

Random access memory

Sensitivity

Single event upset

Monte-Carlo and deterministic approaches are combined in a single tool for the prediction of proton SEU cross section from heavy ion data. It relies on RPP sensitive volumes and a Monte-Carlo analysis of nuclear interactions induced by protons. This enables fast and accurate predictions. The estimated sensitivities agree well with experiments for a large number of devices on sub-micron or deep sub-micron devices. In this paper were also compared former analytical models including PROFIT and SIMPA.

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Détails

Titre: A Monte-Carlo engineer tool for the prediction of SEU proton cross section from heavy ion data
Créateurs - sans rôle: C. Weulersse - EADS IW, Suresnes, France
F. Wrobel - IES, Univ. Montpellier 2, Montpellier, France
F. Miller - EADS IW, Suresnes, France
T. Carriere - EADS Astrium ST, Les Mureaux, France
R. Gaillard
J. Vaille - IES, Univ. Montpellier 2, Montpellier, France
N. Buard - EADS IW, Suresnes, France
Détails de publication: 2011 12th European Conference on Radiation and Its Effects on Components and Systems, pp.376-383
Éditeur: IEEE
Nombre de pages: 8
Identifiants: 99139381809311
Unité académique: Institut d'Electronique et des Systèmes - IES
Langue: English
Type de ressource: Conference proceeding