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Published June 24, 2024 | Version v2
Conference paper Open

Auralization of Magnetic Multiscale Satellite Data: Toward Integrated Audification in Space Science

  • 1. ROR icon Space Science Institute
  • 2. Auralab
  • 3. NASA Goddard Space Flight Center

Description

Audification has an established history in the field of space science, with events such as “lion roars” and “whistlers” drawing their names from auditory observations. As of 2019, NASA’s CDAWeb repository provides audified versions of observations from spacecraft and ground-based instruments as a standard data product. This approach can be extended further through spatialized audio (auralization) of data from multiple sensors. However, there are not currently standardized tools available for spatially rendering audified multispacecraft observations. Here, we demonstrate an auralization of magnetometer data from NASA’s  Magnetospheric Multiscale (MMS) Mission, produced using open-source tools in python. Each spacecraft’s audified data is played by a virtual sound source with a location matching the physical arrangement of that spacecraft. This is used to generate a binaural rendering optimized for playback over headphones. This approach eliminates the need for specialized tools, improving access for citizen scientists. It lays a foundation for standardized auralizations of distributed instrumentation systems, both for use in space science research and for systematically evaluating the effectiveness of auralization methods, and supports ongoing work with ground-based magnetometers in polar regions.

Files

MMS Auralization (ICAD 2024).mp4

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Additional details

Identifiers

Other
NSF PAR 10562839

Related works

Describes
Computational notebook: 10.5281/zenodo.10841878 (DOI)
Is published in
Conference proceeding: 10.21785/icad2024.000 (DOI)
Obsoletes
Video/Audio: 10.5281/zenodo.10850637 (DOI)

Funding

U.S. National Science Foundation
OPP-PRF: Conjugate Experiment to Explore Magnetospheric Phenomena Via Spatial Sonification and Mixed Reality 2218996

Dates

Available
2024-06-24
Presented at ICAD