Journal article
Automated determination of electron density from electric field measurements on the Van Allen Probes spacecraft
Journal of geophysical research. Space physics, Vol.121(5), pp.4611-4625
05/2016
DOI: 10.1002/2015JA022132
Abstract
We present the Neural-network-based Upper hybrid Resonance Determination (NURD) algorithm for automatic inference of the electron number density from plasma wave measurements made on board NASA's Van Allen Probes mission. A feedforward neural network is developed to determine the upper hybrid resonance frequency, f(uhr), 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 detections. We describe the design and implementation of the algorithm and perform an initial analysis of the resulting electron number density distribution obtained by applying NURD to 2.5 years of data collected with the Electric and Magnetic Field Instrument Suite and Integrated Science (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.
Details
- Title: Subtitle
- Automated determination of electron density from electric field measurements on the Van Allen Probes spacecraft
- Creators
- I. S. Zhelavskaya - Planetary Science InstituteM. Spasojevic - Stanford UniversityY. Y. Shprits - Helmholtz Centre Potsdam - GFZ German Research Centre for GeosciencesW. S. Kurth - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of geophysical research. Space physics, Vol.121(5), pp.4611-4625
- Publisher
- Amer Geophysical Union
- DOI
- 10.1002/2015JA022132
- ISSN
- 2169-9380
- eISSN
- 2169-9402
- Number of pages
- 15
- Grant note
- 637302 / Horizon award International Space Science Institute (ISSI) AGS-1243183 / NSF; National Science Foundation (NSF) 921647; NAS5-01072 / JHU/APL under NASA 116720 / UC Lab Fee award NNX10AK99G; NNX13AE34G; NNX14AC04G; NNX15AI94G / NASA; National Aeronautics & Space Administration (NASA)
- Language
- English
- Date published
- 05/2016
- Academic Unit
- Physics and Astronomy
- Record Identifier
- 9984455363102771
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