Automated Classification of Plasma Regions Using 3D Particle Energy Distributions

Journal Article · 10 September 2021 · Journal of Geophysical Research. Space Physics

DOI: https://doi.org/10.1029/2021ja029620 · OSTI ID:1825432

Olshevsky, Vyacheslav  ^[1]; Khotyaintsev, Yuri V.  ^[2]; Lalti, Ahmad  ^[3]; Divin, Andrey  ^[4]; Delzanno, Gian Luca  ^[5]; Anderzén, Sven  ^[6]; Herman, Pawel  ^[6]; Chien, Steven D.  ^[6]; Avanov, Levon  ^[7]; Dimmock, Andrew P.  ^[2]; Markidis, Stefano  ^[6]

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1. Main Astronomical Observatory, Kiev (Ukraine); KTH Royal Inst. of Technology, Stockholm (Sweden)
2. Swedish Institute of Space Physics, Uppsala (Sweden)
3. Swedish Institute of Space Physics, Uppsala (Sweden); Uppsala Univ. (Sweden)
4. St. Petersburg State University (Russia)
5. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
6. KTH Royal Inst. of Technology, Stockholm (Sweden)
7. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)

We investigate the properties of the ion sky maps produced by the Dual Ion Spectrometers (DIS) from the Fast Plasma Investigation (FPI). We have trained a convolutional neural network classifier to predict four regions crossed by the Magnetospheric Multiscale Mission (MMS) on the dayside magnetosphere: solar wind, ion foreshock, magnetosheath, and magnetopause using solely DIS spectrograms. The accuracy of the classifier is urn:x-wiley:21699380:media:jgra56742:jgra56742-math-0001%. We use the classifier to detect mixed plasma regions, in particular to find the bow shock regions. A similar approach can be used to identify the magnetopause crossings and reveal regions prone to magnetic reconnection. Data processing through the trained classifier is fast and efficient and thus can be used for classification for the whole MMS database.

• Research Organization: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE Laboratory Directed Research and Development (LDRD) Program
• Grant/Contract Number: 89233218CNA000001
• OSTI ID: 1825432
• Report Number(s): LA-UR--19-30657
• Journal Information: Journal of Geophysical Research. Space Physics, Journal Name: Journal of Geophysical Research. Space Physics Journal Issue: 10 Vol. 126; ISSN 2169-9380
• Publisher: American Geophysical UnionCopyright Statement
• Country of Publication: United States
• Language: English