SPE dose prediction using locally weighted regression.

J W Hines; L W Townsend; T F Nichols

doi:10.1093/rpd/nci278

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SPE dose prediction using locally weighted regression.

J W Hines·L W Townsend·T F Nichols

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Abstract

When astronauts are outside earth's protective magnetosphere, they are subject to large radiation doses resulting from solar particle events (SPEs). The total dose received from a major SPE in deep space could cause severe radiation poisoning. The dose is usually received over a 20-40 h time interval but the event's effects may be mitigated with an early warning system. This paper presents a method to predict the total dose early in the event. It uses a locally weighted regression model, which is easier to train and provides predictions as accurate as neural network models previously used.

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Algorithms Astronauts Body Burden Computer Simulation Models, Biological Occupational Exposure Radiation Dosage Radiation Monitoring Radiation Protection Regression Analysis Relative Biological Effectiveness Solar Activity Space Flight Evaluation Study Journal Article Research Support, U.S. Gov't, Non-P.H.S.

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J W Hines, L W Townsend, T F Nichols. 2005. SPE dose prediction using locally weighted regression.. https://doi.org/10.1093/rpd%2Fnci278

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