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Auroral ionospheric plasma flow extraction using subsonic retarding potential analyzers.

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Low-resource thermal ion retarding potential analyzers (RPAs) can accurately measure auroral ionospheric plasma parameters. This study validates their capability for determining scalar plasma properties and bulk plasma flows, showing potential to replace higher-resource methods.

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Area of Science:

  • Space Physics
  • Plasma Physics
  • Aerospace Engineering

Background:

  • Thermal ion retarding potential analyzers (RPAs) are crucial for in situ measurements of auroral ionospheric plasma.
  • Assessing the capabilities of low-resource sensors is vital for expanding in situ diagnostic capabilities.

Purpose of the Study:

  • To quantify the performance of a low-resource RPA sensor for measuring auroral ionospheric plasma parameters.
  • To validate the sensor's ability to determine scalar plasma parameters and bulk plasma flows.

Main Methods:

  • Utilized a forward-modeling procedure to analyze current-voltage (I-V) curves from the RPA.
  • Applied constraining information on flow moment, density, and sheath potential to determine plasma parameters.
  • Compared RPA-derived flow components with data from a high-fidelity flow diagnostic.

Main Results:

  • The RPA successfully determined scalar plasma parameters (ion temperature, density, spacecraft sheath potential).
  • Plasma DC flows were determined with an error of hundreds of m/s compared to a high-fidelity metric.
  • The sensor demonstrated robustness against variations in constraining diagnostic data.

Conclusions:

  • Low-resource RPAs are capable of providing accurate scalar plasma measurements.
  • The sensor can effectively determine bulk plasma DC flows, offering a viable alternative to higher-resource methods for specific applications.
  • These findings support the use of low-resource RPAs for in situ measurements in auroral ionospheric research.