Software-type Wave–Particle Interaction Analyzer on board the Arase satellite

We describe the principles of the Wave–Particle Interaction Analyzer (WPIA) and the implementation of the Software-type WPIA (S-WPIA) on the Arase satellite. The WPIA is a new type of instrument for the direct and quantitative measurement of wave–particle interactions. The S-WPIA is installed on the Arase satellite as a software function running on the mission data processor. The S-WPIA on board the Arase satellite uses an electromagnetic field waveform that is measured by the waveform capture receiver of the plasma wave experiment (PWE), and the velocity vectors of electrons detected by the medium-energy particle experiment–electron analyzer (MEP-e), the high-energy electron experiment (HEP), and the extremely high-energy electron experiment (XEP). The prime objective of the S-WPIA is to measure the energy exchange between whistler-mode chorus emissions and energetic electrons in the inner magnetosphere. It is essential for the S-WPIA to synchronize instruments to a relative time accuracy better than the time period of the plasma wave oscillations. Since the typical frequency of chorus emissions in the inner magnetosphere is a few kHz, a relative time accuracy of better than 10 μs is required in order to measure the relative phase angle between the wave and velocity vectors. In the Arase satellite, a dedicated system has been developed to realize the time resolution required for inter-instrument communication. Here, both the time index distributed over all instruments through the satellite system and an S-WPIA clock signal are used, that are distributed from the PWE to the MEP-e, HEP, and XEP through a direct line, for the synchronization of instruments within a relative time accuracy of a few μs. We also estimate the number of particles required to obtain statistically significant results with the S-WPIA and the expected accumulation time by referring to the specifications of the MEP-e and assuming a count rate for each detector.

[1]  J. Clemmons,et al.  Langmuir wave growth and electron bunching: Results from a wave‐particle correlator , 1991 .

[2]  W. J. Burke,et al.  Correlator measurements of megahertz wave‐particle interactions during electron beam operations on STS , 1995 .

[3]  R. Thorne,et al.  Relativistic theory of wave‐particle resonant diffusion with application to electron acceleration in the magnetosphere , 1998 .

[4]  H. Alleyne,et al.  Measurement of Wave-Particle Interactions in the Magnetosphere using the DWP Particle Correlator , 2000 .

[5]  Y. Kasahara,et al.  Rebuilding process of the outer radiation belt during the 3 November 1993 magnetic storm: NOAA and Exos‐D observations , 2003 .

[6]  Y. Omura,et al.  Acceleration of relativistic electrons due to resonant scattering by whistler mode waves generated by temperature anisotropy in the inner magnetosphere , 2004 .

[7]  Yuto Katoh,et al.  Computer simulation of chorus wave generation in the Earth's inner magnetosphere , 2007 .

[8]  Y. Omura,et al.  Ultra‐relativistic acceleration of electrons in planetary magnetospheres , 2007 .

[9]  Y. Omura,et al.  Relativistic Turning Acceleration of Resonant Electrons by Coherent Whistler-Mode Waves in a Dipole Magnetic Field(RECENT RESEARCH ACTIVITIES) , 2007 .

[10]  Y. Omura,et al.  Theory and simulation of the generation of whistler‐mode chorus , 2008 .

[11]  S. Yagitani,et al.  Nonlinear mechanisms of lower-band and upper-band VLF chorus emissions in the magnetosphere , 2009 .

[12]  H. Yamakawa,et al.  A new instrument for the study of wave-particle interactions in space: One-chip Wave-Particle Interaction Analyzer , 2009 .

[13]  Y. Omura,et al.  Amplitude dependence of frequency sweep rates of whistler mode chorus emissions , 2011 .

[14]  R. Ergun,et al.  Wave-Particle Correlator Instrument Design , 2013 .

[15]  Y. Omura,et al.  Effect of the background magnetic field inhomogeneity on generation processes of whistler‐mode chorus and broadband hiss‐like emissions , 2013 .

[16]  H. Kojima,et al.  Significance of Wave-Particle Interaction Analyzer for direct measurements of nonlinear wave-particle interactions , 2013 .

[17]  Y. Katoh A simulation study of the propagation of whistler-mode chorus in the earth's inner magnetosphere , 2014, 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS).

[18]  H. Kojima,et al.  Evaluation of waveform data processing in Wave-Particle Interaction Analyzer , 2014, Earth, Planets and Space.

[19]  Y. Omura,et al.  Electron hybrid code simulation of whistler-mode chorus generation with real parameters in the Earth’s inner magnetosphere , 2016, Earth, Planets and Space.

[20]  Y. Katoh,et al.  Method for direct detection of pitch angle scattering of energetic electrons caused by whistler mode chorus emissions , 2016 .

[21]  S. Kaeppler,et al.  Phase sorting wave‐particle correlator , 2017 .

[22]  V. Angelopoulos,et al.  Ion hole formation and nonlinear generation of electromagnetic ion cyclotron waves: THEMIS observations , 2017 .

[23]  Fuminori Tsuchiya,et al.  The Plasma Wave Experiment (PWE) on board the Arase (ERG) satellite , 2017, Earth, Planets and Space.

[24]  Yasuko Shibano,et al.  Medium-energy particle experiments—electron analyzer (MEP-e) for the exploration of energization and radiation in geospace (ERG) mission , 2018, Earth, Planets and Space.