Inverted radial Alfven continua: First results from "Heliophysics Audified: Resonances in Plasmas"

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Abstract
Ultra Low Frequency (ULF) waves with periods of ∼10-1000s can lead to space weather impacts such as induced electrical currents in power grids, thus it's important to understand the factors controlling wave dynamics. This is challenging, however, as waves (1) are affected by multiple factors simultaneously, (2) are non-stationary which in some cases precludes use of identification methods that assume stationarity, (3) can occur in superposition with each other making them difficult to separate and identify. Past studies have addressed these challenges through combined audiovisual analysis tools to identify complex but recurring patterns in ULF wave activity that eluded standard visual inspection and automated detection algorithms, as well as through crowd-sourced wave identification. The "Heliophysics Audified: Resonances in Plasmas" NASA citizen science project follows these studies by deploying a Graphical User Interface (GUI) for crowd-sourced ULF wave identification to a large online audience before and during the Heliophysics Big Year (HBY). In this study, we discuss the initial development, beta testing, and deployment of the GUI in April 2023. We further discuss the key initial scientific findings of the HARP project, in Hartinger et al. HARP First Results particular the discovery by volunteers of anomalous standing Alfv´en wave activity with frequency increasing with distance from the Earth. Finally, we discuss participant impacts and lessons learned, as well broader impacts beyond the scope of the original project such as collaborations with museums and musicians. We place these results in context with previous work and discuss implications for future studies.
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imported_1768918584_696f8e385e730 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Williams, Lucy
Journal Frontiers in surgery
Year Year not found
DOI
10.3389/fspas.2026.1700061
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Keywords Keywords not found

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