Search NASASearch

Engineering topics

Alexa J Halford

Publications and source records attributed to Alexa J Halford.

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

Space Weather Mission Extensions: A New Look at Life Extensions and the Senior Review

Long term missions and data set are invaluable, especially to understand the occurrence and impact of extreme events. We continue to have many models rely on ground based indies such as sunspot number, kp, or the monthly averaged ap as they are some of our longest surviving datasets. This historical data allows us to better contextualize the events we see today, and provide us insights into the dynamics of the geospace and heliophysics environments. We know that kp and ap are not great measures of many types of dynamics - however we default to them due to their longevity. If we want to improve our understanding, our forecasts, and our relationships with users of our research, we must continuously and reliably provide newer datasets which better describe the underlying conditions.

Alexa J Halford

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

Artemis, Gateway, the Return to the Moon and Forward to Mars for Heliophysics

Over a 100 years ago we humans first landed on Antarctica. At the time we could not have imagined the heliophysics scientific gains that would be got from this continent. Sixty-five years ago we had the first international geophysical year aimed at deployment of instrumentation across this southern most continent and around the globe in recognition of the potential advancements from this integrated system of measurements. This potential has been realized and continues to grow as Antarctica returns science results across most disciplines, inspires artists and athletes, and has touched the lives of many through these gains. Today we are on the precipice of a future new Antarctica with the launch of Artemis 1 and plans for the return of humans to the lunar surface and human exploration to Mars. Heliophysics and space weather are necessary components for the success of these dreams and will benefit greatly from the fundamental science exploration that Artemis and mission to Mars will enable. Within this paper we will discuss the ways in which Artemis and the mission to Mars will benefit Heliophysics and space weather and end with recommendations for steps we see needed to actualize these dreams.

Alexa J Halford

Application Usability Levels: A Framework for Tracking Project Product Progress

The space physics community continues to grow and become both more interdisciplinary and more intertwined with commercial and government operations. This has created a need for a framework to easily identify what projects can be used for specific applications and how close the tool is to routine autonomous or on-demand implementation and operation. We propose the Application Usability Level (AUL) framework and publicizing AULs to help the community quantify the progress of successful applications, metrics, and validation efforts. This framework will also aid the scientific community by supplying the type of information needed to build off of previously published work and publicizing the applications and requirements needed by the user communities. In this paper, we define the AUL framework, outline the milestones required for progression to higher AULs, and provide example projects utilizing the AUL framework. This work has been completed as part of the activities of the Assessment of Understanding and Quantifying Progress working group which is part of the International Forum for Space Weather Capabilities Assessment.

Alexa J Halford