Résumé
Machine learning algorithms are set-up to enable particle detection in the mixed-field space environment starting from the MCUs collected in an SRAM during ground irradiations with protons and ions.
- Titre
- Machine learning application to space particle discrimination from multiple-cell upsets in a memory device
- Créateurs - sans rôle
- Andrea Coronetti - European Organization for Nuclear ResearchLucas Matana Luza - Test and dEpendability of microelectronic integrated SysTemsSanaa Barik - European Organization for Nuclear ResearchAlexandre Bosser - Université de Montpellier, Laboratoire d'Informatique de Robotique et de Microélectronique de Mtp - LIRMMRuben Garcia Alia - European Organization for Nuclear ResearchLuigi Dilillo - Test and dEpendability of microelectronic integrated SysTemsFrédéric Saigné - Université de Montpellier, Institut d'Electronique et des Systèmes - IES
- Colloque
- RADECS 2022 - 22nd European Conference on Radiation and Its Effects on Components and Systems (Venice, Italy, 03/10/2022–07/10/2022)
- Identifiants
- 99152986109311
- Unité académique
- Institut d'Electronique et des Systèmes - IES; Laboratoire d'Informatique de Robotique et de Microélectronique de Mtp - LIRMM
- Langue
- English
- Type de ressource
- Conference poster
- Champs locaux
- lirmm-03837246