Engineering topics
Publications and source records attributed to Raymond Ladbury.
Increasingly scarce SEE testing resources and rapid growth of the New Space sector have increased the prevalence of under-constrained SEE data. We develop Monte Carlo tools to assess implications for SEE.
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The primary purpose of this testing is to characterize the Texas Instruments LMV7219 comparator for single-event latchup (SEL) susceptibility. These data will be used to assess the Single-Event Latchup (SEL) risk for the OSIRIS-REx Laser Altimeter (OLA). A secondary goal is to assess the susceptibility of the comparator to single-event transients (SET) and other nondestructive Single-Event Effects (SEE).
The primary purpose of this testing was to characterize the Texas Instruments TLV5618 12-bit digital-to-analog converter (DAC) for single-event latchup (SEL) susceptibility. These data will be used to assess the SEL risk for the OSIRIS-REx Laser Altimeter (OLA). A secondary goal is to assess the susceptibility of the DAC to single-event transients (SET), single-event upsets (SEU), and other nondestructive SEE.
The primary purpose of this testing is to characterize the Texas Instruments AZ88923 post amplifier for susceptibility to single-event latchup (SEL) and other destructive Single-Event Effects (SEE). These data will be used to assess the destructive SEE risk for the OSIRIS-REx Laser Altimeter (OLA). A secondary goal is to assess the susceptibility of the post amplifier to single-event transients (SET) and other nondestructive SEE. In particular, the loss-of-signal feature could give rise to some significant anomalies. However, it is not used on OLA.
We develop methods for bounding part-to-part variation in TID data. When used in conjunction with statistical radiation environment models, these methods allow development of RHA that deliver estimated piece part reliability for any desired confidence level, moving beyond risk avoidance methodologies based on radiation design margin. Two methods are developed, and their results compared for realistic data.