Speaker
Description
Surrogate testing approaches that can predict heavy-ion single-event effect (SEE) responses in a device-under-test (DUT) could prove invaluable in easing pressure on oversubscribed heavy-ion facilities. However, predictive testing faces many challenges for successful implementation. The most significant of these challenges is generating a carrier distribution capable of reproducing the desired SEE response and doing this in a reliable and quantitative manner.
Pulsed-laser SEE (PL SEE) approaches have made substantial progress towards predictive testing over recent years and this talk will touch on the various capabilities enabling this effort. Such capabilities include identifying the criteria for predictive testing, tailoring the carrier distribution through beam shaping, accurately estimation of the equivalent LET, and overall improvements in laser systems for stability and wavelength tunability. To underscore the progress made, example case studies of predictive PL SEE testing will be given.
The ultimate goal for predictive surrogate testing is insertion into the radiation effects characterization and qualification pipeline. Towards this integration of surrogate testing, the importance of understanding the role of risk assessment tolerance and testing uncertainty will be addressed.