Pitch Angle Isotropy of Relativistic Electron Microbursts as Observed by SAMPEX/HILT: Statistical and Storm‐Time Properties
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Conrad Meyer‐Reed↗
Engineering topics
Mykhaylo Shumko
Publications and source records attributed to Mykhaylo Shumko.
Supporting Responsible Machine Learning in Heliophysics
Over the last decade, Heliophysics researchers have increasingly adopted a variety of machine learning methods such as artificial neural networks, decision trees, and clustering algorithms into their workflow. Adoption of these advanced data science methods had quickly outpaced institutional response, but many professional organizations such as the European Commission, the National Aeronautics and Space Administration (NASA), and the American Geophysical Union have now issued (or will soon issue) standards for artificial intelligence and machine learning that will impact scientific research. These standards add further (necessary) burdens on the individual researcher who must now prepare the public release of data and code in addition to traditional paper writing. Support for these is not reflected in the current state of institutional support, community practices, or governance systems. We examine here some of these principles and how our institutions and community can promote their successful adoption within the Heliophysics discipline.
Machine learning↗
Understanding the Properties, Wave Drivers, and Impacts of Electron Microburst Precipitation: Current Understanding and Critical Knowledge Gaps
Microbursts are impulsive (~100ms) injections of very energetic to relativistic electrons (energies from a few keV to MeV) into Earth’s atmosphere. Microbursts are important because they may represent a major loss process for the outer radiation belt (Ripoll et al., 2020). Understanding and quantifying the underlying causes and consequences plus relative importance of microburst precipitation represent outstanding questions in radiation belt physics and may have significant implications ranging from space weather to atmospheric chemistry. Chorus waves are the likely dominant cause of microburst precipitation, but important questions remain regarding the exact nature of the resonance generating the microbursts and the overall importance of the precipitation. These important questions are limited by lack of systematic coordination of simultaneous observations of causative waves in the magnetosphere and resulting precipitating particles at low altitudes. Increased funding for multi-spacecraft missions dedicated to answering these questions is critical.
Sadie Elliott↗
Recommendations on Funding Mission Operations and Historical Datasets
The Heliophysics Low Cost Access to Space (H-LCAS) and Flight Opportunities in Research and Technology (H-FORT) grant budgets primarily fund the development and construction of instrumentation. A side effect of this approach is that mission operations, including data collection and data processing, tend to be severely under budget (or unfunded). In order to satisfy the requirements of modern missions, we recommend a new funding source for mission operations. This funding source is increasingly vital going forward as new missions collect exponentially more data compared to past missions. Similarly, to take full advantage of underutilized historical datasets, we recommend adding another funding source to analyze these valuable datasets. Without these funding sources, mission datasets will, in the best case, be significantly underdeveloped and underutilized, and more likely, will fall dramatically short of their required scope.
Mykhaylo Shumko↗