SEE sensitivity of a COTS 28-nm SRAM-based FPGA under thermal neutrons and different incident angles

This paper provides an experimental study of the single-event upset (SEU) susceptibility against thermal neutron radiation of a 28-nm bulk Commercial-Off-The-Shelf (COTS) Xilinx Artix-7 FPGA under different angles of incidence. Experimental results indicating SEUs on configuration RAM (CRAM) cells,...

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Detalles Bibliográficos
Autores: Fabero Jiménez, Juan Carlos, Korkian, Golnaz, Franco Peláez, Francisco Javier, Hubert, Guillaume, Mecha López, Hortensia, Letiche, Manon, Clemente Barreira, Juan Antonio
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/72824
Acceso en línea:https://hdl.handle.net/20.500.14352/72824
Access Level:acceso abierto
Palabra clave:FPGA
Thermal neutrons
Radiation hardness
Angle of incidence
Soft error
Circuitos integrados
2203.07 Circuitos Integrados
Descripción
Sumario:This paper provides an experimental study of the single-event upset (SEU) susceptibility against thermal neutron radiation of a 28-nm bulk Commercial-Off-The-Shelf (COTS) Xilinx Artix-7 FPGA under different angles of incidence. Experimental results indicating SEUs on configuration RAM (CRAM) cells, Flip-Flops (FFs), and Block RAMs (BRAMs) are presented and discussed. Shapes of multiple events (ranging from 2 to 12-bit) are also analyzed, and their dependency on the incident angle of the particle beam against the device’s surface. Possible shapes of 128 and 384-bit multiple events are also investigated, revealing a trend to follow word lines. The results of the front incident angle are compared with 14.2-MeV neutrons, demonstrating a considerable difference in the device’s sensitivity against both irradiation sources. Finally, a modeling tool called MUSCA-SEP3 is used to predict the device’s sensitivity under the same environmental conditions. The obtained experimental results will show a good agreement with the predicted ones in a very accurate way.