Title :
Statistical Modeling for Radiation Hardness Assurance: Toward Bigger Data
Author :
Ladbury, R. ; Campola, M.J.
Author_Institution :
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Abstract :
New approaches to statistical modeling in radiation hardness assurance are discussed. These approaches yield quantitative bounds on flight-part radiation performance even in the absence of conventional data sources. This allows the analyst to bound radiation risk at all stages and for all decisions in the RHA process. It also allows optimization of RHA procedures for the project´s risk tolerance.
Keywords :
dosimetry; statistical analysis; RHA procedure optimization; RHA process; bound radiation risk; conventional data source; flight-part radiation performance; radiation hardness assuranc:; statistical modeling; Bayes methods; Data models; Degradation; Estimation; MOSFET; Optical wavelength conversion; Probabilistic risk assessment; quality assurance; radiation effects; radiation hardness assurance methodology; reliability estimation;
Journal_Title :
Nuclear Science, IEEE Transactions on
DOI :
10.1109/TNS.2015.2462754
