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Intelligent Sampling of Hazardous Particle Populations in Resource-Constrained Environments


AuthorMcCollough, J.; Quinn, J.; Starks, M.; Johnston, W.;
Keywordsdata sampling; magnetospheric plasma; measurement; Solar Energetic Protons; trapped electrons; trapped protons; Van Allen Probes
AbstractSampling of anomaly-causing space environment drivers is necessary for both real-time operations and satellite design efforts, and optimizing measurement sampling helps minimize resource demands. Relating these measurements to spacecraft anomalies requires the ability to resolve spatial and temporal variability in the energetic charged particle hazard of interest. Here we describe a method for sampling particle fluxes informed by magnetospheric phenomenology so that, along a given trajectory, the variations from both temporal dynamics and spatial structure are adequately captured while minimizing oversampling. We describe the coordinates, sampling method, and specific regions and parameters employed. We compare resulting sampling cadences with data from spacecraft spanning the regions of interest during a geomagnetically active period, showing that the algorithm retains the gross features necessary to characterize environmental impacts on space systems in diverse orbital regimes while greatly reducing the amount of sampling required. This enables sufficient environmental specification within a resource-constrained context, such as limited telemetry bandwidth, processing requirements, and timeliness.
Year of Publication2017
JournalSpace Weather
Volume
Number of Pages
Section
Date Published10/2017
ISBN
URLhttp://onlinelibrary.wiley.com/doi/10.1002/2017SW001629/full
DOI10.1002/2017SW001629