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| Titel |
Automated Determination of Electron Density from Electric Field Measurements on the Van Allen Probes Spacecraft |
| VerfasserIn |
Irina Zhelavskaya, Maria Spasojevic, Yuri Shprits, William Kurth |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250129306
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| Publikation (Nr.) |
 EGU/EGU2016-9400.pdf |
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| Zusammenfassung |
| We present the Neural-network-based Upper-hybrid Resonance Determination (NURD)
algorithm for automatic inference of the electron number density from plasma wave
measurement made onboard NASA’s Van Allen Probes mission. A feedforward neural
network is developed to determine the upper hybrid resonance frequency, fuhr, from electric
field measurements, which is then used to calculate the electron number density. In previous
missions, the plasma resonance bands were manually identified, and there have been few
attempts to do robust, routine automated detection. We describe the design and
implementation of the algorithm and perform initial analysis of the resulting electron number
density distribution obtained by applying NURD to 2.5 years of data collected with
the EMFISIS instrumentation suite of the Van Allen Probes mission. Densities
obtained by NURD are compared to those obtained by another recently developed
automated technique and also to an existing empirical plasmasphere and trough density
model. |
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