Data processing in Software-type Wave–Particle Interaction Analyzer onboard the Arase satellite

Mitsuru Hikishima, Hirotsugu Kojima, Yuto Katoh, Yoshiya Kasahara, Satoshi Kasahara, Takefumi Mitani, Nana Higashio, Ayako Matsuoka, Yoshizumi Miyoshi, Kazushi Asamura, Takeshi Takashima, Shoichiro Yokota, Masahiro Kitahara, Shoya Matsuda

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

The software-type wave–particle interaction analyzer (S-WPIA) is an instrument package onboard the Arase satellite, which studies the magnetosphere. The S-WPIA represents a new method for directly observing wave–particle interactions onboard a spacecraft in a space plasma environment. The main objective of the S-WPIA is to quantitatively detect wave–particle interactions associated with whistler-mode chorus emissions and electrons over a wide energy range (from several keV to several MeV). The quantity of energy exchanges between waves and particles can be represented as the inner product of the wave electric-field vector and the particle velocity vector. The S-WPIA requires accurate measurement of the phase difference between wave and particle gyration. The leading edge of the S-WPIA system allows us to collect comprehensive information, including the detection time, energy, and incoming direction of individual particles and instantaneous-wave electric and magnetic fields, at a high sampling rate. All the collected particle and waveform data are stored in the onboard large-volume data storage. The S-WPIA executes calculations asynchronously using the collected electric and magnetic wave data, data acquired from multiple particle instruments, and ambient magnetic-field data. The S-WPIA has the role of handling large amounts of raw data that are dedicated to calculations of the S-WPIA. Then, the results are transferred to the ground station. This paper describes the design of the S-WPIA and its calculations in detail, as implemented onboard Arase.[Figure not available: see fulltext.].

Original languageEnglish
Article number80
Journalearth, planets and space
Volume70
Issue number1
DOIs
Publication statusPublished - 2018 Dec 1

Keywords

  • Inner magnetosphere
  • Onboard processing
  • Wave–particle interaction

ASJC Scopus subject areas

  • Geology
  • Space and Planetary Science

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